Alessio Vinassa Unveils an Emerging Technology Investment Approach Shaped by Financial Challenges

Dubai, United Arab Emirates, September 10th, 2026, Chainwire

Tech entrepreneur and angel investor Alessio Vinassa today announced the expansion of his investment framework focusing on the convergence of artificial intelligence and cybersecurity, applying strategic risk-mitigation model lessons derived from managing high-pressure financial turnarounds to emerging enterprise technologies. Before he began investing across artificial intelligence, cybersecurity, Web3 and innovative finance, he faced a financial collapse that changed how he understood risk.

Alessio reached a point where approximately €180,000 was due while only about €2,200 remained in his bank account. The situation left him facing the possibility of bankruptcy and forced him to confront the consequences of growth without sufficient protection, diversification or structural discipline.

The experience became more than a difficult chapter in his entrepreneurial career. It influenced how he would later evaluate businesses, support founders and approach emerging technology.

Today, Alessio has more than fifteen years of operating and investment experience and has backed more than 40 ventures across cybersecurity, artificial intelligence, Web3 and innovative finance. His current work reflects a strategic reality that businesses can no longer afford to ignore artificial intelligence and cybersecurity are becoming increasingly intertwined.

Artificial intelligence is changing how companies interpret information, automate work and make decisions. Each capability can also introduce another form of dependence. Systems require access to data. Automated tools may influence customer interactions, financial activity and internal operations. The more authority companies give these technologies, the more important security, transparency and accountability become.

For Alessio, this is where innovation must meet discipline.

“AI should amplify executive judgment, not replace it,” he says.

Technology can increase speed and capability, but leaders remain responsible for determining how that capability should be used, which risks are acceptable and where human oversight must remain.

Cybersecurity provides part of the foundation for that trust. As artificial intelligence becomes embedded in important business processes, security extends beyond protecting networks from external threats. Companies must also understand who can access information, how automated actions are monitored and what happens when a system produces an unexpected result.

Businesses that address these questions early may be better positioned to earn the confidence of customers, investors and commercial partners. Those that treat security as an addition after adoption risk allowing operational exposure to grow alongside their success.

Alessio’s technology and investment perspective was shaped by learning what can happen when momentum is mistaken for stability. His financial collapse revealed that creating value and protecting it require different capabilities. A company may appear successful while becoming increasingly dependent on favourable conditions, concentrated decisions or systems that have not developed at the same rate as its growth.

The same lesson applies to emerging technology. A product can attract attention and investment before proving that it can operate securely, respond to failure or sustain customer trust.

Alessio evaluates opportunity through more than technical novelty. His approach considers whether a technology addresses a meaningful problem, whether customers can adopt it consistently and whether the company has the governance required to support expansion. In his published investment commentary, he has identified cybersecurity, artificial intelligence governance, identity solutions and enterprise automation as areas where technology is addressing essential infrastructure needs.

The leadership teams behind these products are equally important. Alessio has spoken about the value of founders who can identify where their businesses are exposed, explain how their systems will respond under pressure and recognise which evidence would require them to change direction.

“Good governance makes companies faster, not slower,” Alessio says.

Governance is sometimes treated as a restriction on innovation. Alessio views it as the structure that allows innovation to scale responsibly. Clear decision rights, reliable reporting and defined accountability enable companies to move without depending on one person to resolve every issue.

This perspective has particular relevance as businesses adopt artificial intelligence at increasing speed. Competitive pressure can encourage companies to introduce tools before they fully understand the information those tools access or the decisions they influence.

Alessio does not argue that innovation should slow by default. His position is that speed becomes commercially valuable only when the systems supporting it can be trusted. The objective is not to eliminate every possible risk. It is to understand exposure before customers, employees and operations become dependent on the technology.

His progression from financial collapse to investing across emerging technology also informs his broader work on leadership. The lesson was not simply that an entrepreneur can recover after losing money. Recovery became meaningful because it changed the structures and decisions that followed.

Alessio is developing these ideas further in his book, No One Is Coming: The Mental Operating System for Leaders Under Pressure. The book examines how founders, executives and operators make consequential decisions when certainty is unavailable and responsibility cannot be transferred to someone else.

As artificial intelligence and cybersecurity continue to converge, that responsibility will extend beyond technology teams. Investors will need to examine the security behind innovation. Boards will need to understand the systems on which their organisations depend. Founders will need to build trust as deliberately as they build capability.

The €180,000 turning point gave Alessio’s investment philosophy a personal foundation. It taught him that unmanaged exposure can remain hidden while confidence is high and growth is still visible. His work today applies that lesson to a new technological era: innovation creates lasting value only when the structures protecting it are built to endure.

About Alessio Vinassa

Alessio Vinassa is an entrepreneur, angel investor, technology builder and author with more than fifteen years of experience across cybersecurity, artificial intelligence, Web3, innovative finance and business leadership. He has backed more than 40 ventures and works with founders and executives on investment, strategy, organisational development and leadership under pressure. He operates between the UAE and Europe.

Contact

Alessio Vinassa
info@alessiovinassa.io

Alessio Vinassa Unveils an Emerging Technology Investment Approach Shaped by Financial Challenges

Dubai, United Arab Emirates, September 10th, 2026, Chainwire

Tech entrepreneur and angel investor Alessio Vinassa today announced the expansion of his investment framework focusing on the convergence of artificial intelligence and cybersecurity, applying strategic risk-mitigation model lessons derived from managing high-pressure financial turnarounds to emerging enterprise technologies. Before he began investing across artificial intelligence, cybersecurity, Web3 and innovative finance, he faced a financial collapse that changed how he understood risk.

Alessio reached a point where approximately €180,000 was due while only about €2,200 remained in his bank account. The situation left him facing the possibility of bankruptcy and forced him to confront the consequences of growth without sufficient protection, diversification or structural discipline.

The experience became more than a difficult chapter in his entrepreneurial career. It influenced how he would later evaluate businesses, support founders and approach emerging technology.

Today, Alessio has more than fifteen years of operating and investment experience and has backed more than 40 ventures across cybersecurity, artificial intelligence, Web3 and innovative finance. His current work reflects a strategic reality that businesses can no longer afford to ignore artificial intelligence and cybersecurity are becoming increasingly intertwined.

Artificial intelligence is changing how companies interpret information, automate work and make decisions. Each capability can also introduce another form of dependence. Systems require access to data. Automated tools may influence customer interactions, financial activity and internal operations. The more authority companies give these technologies, the more important security, transparency and accountability become.

For Alessio, this is where innovation must meet discipline.

“AI should amplify executive judgment, not replace it,” he says.

Technology can increase speed and capability, but leaders remain responsible for determining how that capability should be used, which risks are acceptable and where human oversight must remain.

Cybersecurity provides part of the foundation for that trust. As artificial intelligence becomes embedded in important business processes, security extends beyond protecting networks from external threats. Companies must also understand who can access information, how automated actions are monitored and what happens when a system produces an unexpected result.

Businesses that address these questions early may be better positioned to earn the confidence of customers, investors and commercial partners. Those that treat security as an addition after adoption risk allowing operational exposure to grow alongside their success.

Alessio’s technology and investment perspective was shaped by learning what can happen when momentum is mistaken for stability. His financial collapse revealed that creating value and protecting it require different capabilities. A company may appear successful while becoming increasingly dependent on favourable conditions, concentrated decisions or systems that have not developed at the same rate as its growth.

The same lesson applies to emerging technology. A product can attract attention and investment before proving that it can operate securely, respond to failure or sustain customer trust.

Alessio evaluates opportunity through more than technical novelty. His approach considers whether a technology addresses a meaningful problem, whether customers can adopt it consistently and whether the company has the governance required to support expansion. In his published investment commentary, he has identified cybersecurity, artificial intelligence governance, identity solutions and enterprise automation as areas where technology is addressing essential infrastructure needs.

The leadership teams behind these products are equally important. Alessio has spoken about the value of founders who can identify where their businesses are exposed, explain how their systems will respond under pressure and recognise which evidence would require them to change direction.

“Good governance makes companies faster, not slower,” Alessio says.

Governance is sometimes treated as a restriction on innovation. Alessio views it as the structure that allows innovation to scale responsibly. Clear decision rights, reliable reporting and defined accountability enable companies to move without depending on one person to resolve every issue.

This perspective has particular relevance as businesses adopt artificial intelligence at increasing speed. Competitive pressure can encourage companies to introduce tools before they fully understand the information those tools access or the decisions they influence.

Alessio does not argue that innovation should slow by default. His position is that speed becomes commercially valuable only when the systems supporting it can be trusted. The objective is not to eliminate every possible risk. It is to understand exposure before customers, employees and operations become dependent on the technology.

His progression from financial collapse to investing across emerging technology also informs his broader work on leadership. The lesson was not simply that an entrepreneur can recover after losing money. Recovery became meaningful because it changed the structures and decisions that followed.

Alessio is developing these ideas further in his book, No One Is Coming: The Mental Operating System for Leaders Under Pressure. The book examines how founders, executives and operators make consequential decisions when certainty is unavailable and responsibility cannot be transferred to someone else.

As artificial intelligence and cybersecurity continue to converge, that responsibility will extend beyond technology teams. Investors will need to examine the security behind innovation. Boards will need to understand the systems on which their organisations depend. Founders will need to build trust as deliberately as they build capability.

The €180,000 turning point gave Alessio’s investment philosophy a personal foundation. It taught him that unmanaged exposure can remain hidden while confidence is high and growth is still visible. His work today applies that lesson to a new technological era: innovation creates lasting value only when the structures protecting it are built to endure.

About Alessio Vinassa

Alessio Vinassa is an entrepreneur, angel investor, technology builder and author with more than fifteen years of experience across cybersecurity, artificial intelligence, Web3, innovative finance and business leadership. He has backed more than 40 ventures and works with founders and executives on investment, strategy, organisational development and leadership under pressure. He operates between the UAE and Europe.

Contact

Alessio Vinassa
info@alessiovinassa.io

Jeremy Packman: Before Adding Another School Program, Fix the System You Already Have

  • California education leader Jeremy Packman says schools should examine implementation, ownership, and existing workflows before assuming another program will solve an old problem.

SANTA ROSA, Calif., Sep 10, 2026, ZEX PR WIRE — When a school faces a persistent problem, the response can be predictable: find a new program.

A new behavior framework is introduced. A new intervention is launched. Staff attend professional development training. New procedures are added to calendars and meetings. For a while, the initiative receives attention. Then daily demands take over, implementation becomes uneven, lacking fidelity, and another solution eventually takes its place.

After 25 years working in public education, Jeremy Packman believes school leaders should challenge that cycle.

“Before adding something new, I want to know why what we already have isn’t working,” Packman said. “Is the program actually the problem, or did we never create the structure needed to implement it consistently?”

For Packman, the distinction matters. Schools can have strong ideas on paper and still struggle to turn them into everyday practice.

New Programs Cannot Fix Unclear Systems

Packman has worked as a teacher, assistant principal, principal, and Administrator on Special Assignment. Across those roles, he has seen how school improvement efforts can become harder to sustain when responsibilities are unclear.

A program may require a true cycle of inquiry, with teachers to document interventions, administrators to review progress, specialists to provide support, and teams to meet regularly. If nobody knows exactly who owns each step, or if each participant isn’t following the program with fidelity, the program can quickly become another item competing for attention.

“One of the first things I look for is ownership,” Packman said. “If five people are involved but nobody can tell me who is responsible for the next step, that’s where I expect the process to break.”

He encourages leaders to map existing workflows before purchasing a new product or introducing another initiative. Who starts the process? Who follows up? Where is progress recorded? How often is it reviewed? What happens when something is missed?

Those questions are basic by design.

“You can have an impressive program and still have a weak process underneath it,” he said. “Adding another layer doesn’t repair the foundation.”

Initiative Overload Has an Operational Cost

New initiatives also compete with existing responsibilities. “I remember taking over a principal position, and in my first week I was directed to apply three new initiatives before I even walked in the door”. This level of change was overwhelming for the staff and led to major concerns with my leadership approach

Teachers still have lessons to prepare. Administrators still have student and staff issues to address. Support teams still have meetings, interventions, and follow-ups to manage.

Every addition asks people to divide their attention further.

Packman believes leaders should therefore ask what will be removed when something new is introduced, and why.

“If you’re asking staff to start doing three new things on Monday, what are you telling them they can stop doing?” he said. “If the answer is nothing, you’re not really prioritizing. You’re just adding. Instead, a good administrative approach would be to see how any new initiative can be built into what teachers are already doing. This requires adding teaching voice to the decision process”

Packman’s preference is to simplify first.

“I’d rather find the point where the process breaks than throw out the entire process,” Packman said. “Sometimes the fix is a clearer handoff, a shared tracker, or a meeting that actually ends with someone owning the next action.”

This reflects a broader principle in his leadership approach: implementation deserves as much attention as planning.

An initiative does not become part of a school’s culture because it appears in a presentation. It becomes part of the culture when people understand it, use it consistently, and know what to do when it stops working.

School Leaders Should Ask Better Questions Before Saying Yes

Packman suggests that leaders pressure-test new initiatives before introducing them.

What specific problem is this supposed to solve? Is there evidence that the existing approach has failed, or has it simply been implemented inconsistently? What type of data is being used as evidence, and Who will own the new work? How will staff know whether it is working? What existing responsibility can be removed to make room for it?

There is another question that can be harder for leaders to ask: Do we need something new at all?

Schools operate in an environment where improvement is often associated with addition. A new initiative can feel like visible action. Fixing an existing workflow can appear less ambitious.

Packman argues that the less exciting option may sometimes produce the better result.

“There’s nothing flashy about getting the same basic process right every week,” he said. “But consistency is what makes a system dependable.”

Better Implementation Starts With Listening

Packman’s approach does not mean schools should resist change. His career has required him to lead through significant change, including school closures and reopening during COVID-19.

Instead, he argues for more disciplined change.

He has described active listening as central to his leadership style. That becomes especially important before asking educators to adopt something new.

Teachers and support staff often know where an existing process is failing because they work inside it every day. That said, they may still be very resistant to the change. Their experience can reveal unnecessary steps, conflicting expectations, duplicated work, and responsibilities that were never clearly assigned.

“You have to meet people where they are,” Packman said. “If you’re changing a system, understand what people are already doing before you tell them what they need to do next.”

That does not mean every concern should stop an initiative. It means implementation should reflect the environment in which the initiative must survive.

About Jeremy Packman

Jeremy Packman is a California-based Administrator on Special Assignment with 25 years of experience in public education, including 14 years in school leadership. His background includes classroom teaching and administrative leadership, with experience in student services, MTSS, restorative practices, special education systems, and education law. His work focuses on building practical systems that create clearer expectations, stronger follow-through, and better support for students, families, and educators. Learn more at JeremyPackman.com.

AI Labs Integrates Google’s Gemini into AIV Chatbot to Launch Next-Generation Investment Analytics Platform

SINGAPORE – 10/09/2026 – (SeaPRwire) – Singapore-based AI Labs, a subsidiary of Web3 education pioneer Academic Labs, today announced that it has integrated Google’s Gemini AI into its flagship AIV Chatbot.

The upgrade positions AIV as an advanced, structured investment analytics tool designed to simplify research across cryptocurrencies like Bitcoin and Ether, as well as tech giants including Nvidia and SpaceX. AIV allows users to ask simple questions about assets such as Bitcoin and Ether, as well as technology companies such as Nvidia and SpaceX. It then organizes responses around market outlook, technical analysis, fundamentals and risk, presenting the results in a format resembling a concise research note rather than simply generating “buy” or “sell” signals.

The approach is intended to give users a more structured way of thinking about investment decisions.

AIV is able to break an investment portfolio down into different sources of risk and return, distinguish between established assets and higher-growth exposures, and examine how seemingly different investments may become correlated during periods of market stress.

For technology equities, the same framework can be used to distinguish between areas such as AI infrastructure, cloud computing and consumer platforms, while setting out the main upside and downside cases.

The analytics platform is also designed to go beyond identifying potential returns. AIV can frame an investment thesis in terms of the assumptions on which it depends and highlight the conditions that would challenge those assumptions. Key price levels, changes in fundamentals or other “invalidation” scenarios can therefore provide investors with a clearer indication of when an investment view should be reconsidered.

Google’s Gemini is central to the platform’s potential. Google’s AI models can work across text, images, video, audio and code, while connecting with current information and interacting with external tools.

Applied to AIV, these capabilities will allow the Chatbot to analyze earnings releases, retrieve market data, examine charts and tokenomics documents, calculate portfolio exposures, and explain the results in a conversational format that is easy to understand.

Over time, as the technology matures, Gemini could enable investors to upload financial documents or charts for analysis, compare risks across assets, and identify developments that challenge an existing investment thesis. This would move the Chatbot closer to becoming an interactive investment research assistant.

“Investors are surrounded by a wealth of information, but information on its own does not create clarity,” said Ryan Chi, CEO and founder. “AIV is being built to help users connect the signals that actually matter.”

Kingston Kwek, an advisor to AIV, said the key objective is to make sophisticated investment analytics traditionally associated with professional investors more accessible to a broader audience by tapping Gemini’s extensive analytical capabilities, especially since Gemini has achieved global adoption with hundreds of millions of users worldwide.

If AIV can pair Gemini’s ability to summarize and organize information with transparent sources, clear risk controls and plain-language explanations, it could become a powerful research tool for investors navigating the growing overlap between crypto, artificial intelligence and technology equities.

Media Contact

Company: AI Labs

Contact: Media Team

Email: ryan@academic-labs.org

Website: https://ai-labs.live/

Crown Care NEMT Launches Nationwide Private Pay Medical Transportation with Two-Hour Booking Confirmation

Crown Care NEMT has launched private pay non-emergency medical transportation across all 50 states, with online booking, two-hour confirmation, and wheelchair, stretcher and long-distance interstate service available without Medicaid or insurance authorization.

FL, FL, United States, 10th Sep 2026, Grand Newswire – Crown Care NEMT today announced the nationwide availability of its private pay non-emergency medical transportation service, now operating across all 50 states with an online booking system that returns confirmed vehicle and driver details within two business hours.

The service operates entirely outside the Medicaid and insurance billing model. Patients and families book directly, receive a quote before the ride is confirmed, and are not required to obtain prior authorization or work through a transportation broker. Bookings are submitted through a three-step online form or by phone, and a coordinator responds with vehicle assignment, driver name, license plate and a direct dispatcher line.

Crown Care NEMT Launches Nationwide Private Pay Medical Transportation with Two-Hour Booking Confirmation

Non-emergency medical transportation covers scheduled trips that do not require an ambulance: dialysis appointments, chemotherapy sessions, hospital discharges, outpatient procedures, specialist follow-ups and long-distance transfers between medical facilities. The private pay segment of this market serves patients who do not qualify for Medicaid transportation benefits, patients whose plans do not cover the trip type they need, and families coordinating care for a relative in another state.

“Families arranging medical transportation are usually doing it during an already difficult week,” said CEO Mario Lee of Crown Care NEMT. “The two-hour confirmation standard exists because a patient with a dialysis appointment on Thursday cannot wait until Wednesday night to learn whether a vehicle is coming. Removing the authorization step is what makes that timeline possible.”

Crown Care NEMT operates four vehicle categories: ambulatory sedans and SUVs for patients who can transfer independently, wheelchair-accessible vans with hydraulic lifts and securement systems, stretcher transport for patients who must remain recumbent, and long-distance interstate service for transfers to specialty medical centers. All service is door-to-door, with drivers assisting patients between the residence entrance and the vehicle.

The company reports that long-distance interstate transport represents a growing portion of its bookings, driven by patients traveling to nationally ranked specialty centers including facilities in Rochester, Minnesota; Cleveland, Ohio; Houston, Texas; and Baltimore, Maryland. These trips typically fall outside standard Medicaid transportation coverage, which is generally limited to in-state travel to the nearest qualified provider.

Alongside statewide coverage, Crown Care NEMT has published city-level service information for metropolitan areas including Chicago, Minneapolis, Indianapolis and Detroit, listing local hospital systems and the vehicle types available in each market.

Service is available 24 hours a day, seven days a week. Same-day rides are frequently available in major metropolitan areas. Patients receive a firm quote before any ride is confirmed, and booking information is not shared with brokers or third parties.

Booking and coverage details are available at crowncarenemt.com. Reservations can also be made by phone at +1 518 666 6222.

About Crown Care NEMT
Crown Care NEMT is a private pay non-emergency medical transportation provider operating in all 50 states. The company provides ambulatory, wheelchair-accessible, stretcher and long-distance interstate medical transport on a direct-pay basis, without Medicaid or insurance billing. More information is available at https://crowncarenemt.com.

Media Contact

Organization: Crown Care NEMT

Contact
Person: Mario Lee

Website:

https://crowncarenemt.com

Email:

info@crowncarenemt.com

City: FL

State: FL

Country:United States

The post Crown Care NEMT Launches Nationwide Private Pay Medical Transportation with Two-Hour Booking Confirmation
appeared first on Grand Newswire.
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warranties or representations in connection with it.

Strata Maker Launches a Pons Volume Bot to Get Pons Launchpad Tokens Noticed

Strata Maker has launched a Pons volume bot built to solve the first problem every new launch runs into: a token that nobody can see. The service routes real buy and sell orders into a Pons token’s own liquidity pool on Robinhood Chain, lifting the pair on the screeners and charts so that ordinary traders browsing the launchpad actually notice it. It is available now at www.stratamaker.com.

Tokens minted on the Pons launchpad often sit with a flat chart in their first hours, and a flat chart reads as dead to anyone who lands on the pair. Strata Maker is aimed squarely at that window. Rather than posting numbers to a dashboard, it places genuine swaps into the token’s live pool on Robinhood Chain, so the activity shows up on-chain and in the aggregators where discovery actually happens.

What the tool does not ask for is as much the point as what it does. Running a campaign involves a single signed transfer to cover the fee, and nothing else. There is no token approval, no spending allowance, and no contract call against the user’s token, which is the specific reason the tool cannot touch a creator’s supply. Users connect a standard EVM wallet such as MetaMask, Coinbase Wallet, Trust or Rainbow, sign once, and the run begins.

The volume itself is carried by a rotating fleet of funded maker wallets, up to several thousand in a single run. Each wallet touches the pair only a handful of times before it retires for good, so an address that appears in one campaign never shows up in another. Combined with timing drawn from a shaped distribution and order sizes that never repeat, the result is a tape that reads like genuine trading rather than a bot firing on a fixed interval. Because the record of how the volume arrived is the part anyone reviewing a pair actually looks at, that realism is treated as a core feature, not a finishing touch.

Every fill lands in the token’s own pool from the first order to the last, with no wrapper, no mirror and no stand-in venue. When a run closes, Strata Maker reconciles the delivered volume against Blockscout, the chain’s own explorer, so the figure it reports and the figure a user can count on-chain are the same. If a run ever lands short of the target that was paid for, the difference is returned to the paying wallet automatically, without a support ticket.

Setup is deliberately minimal. There is no account to create and no dashboard tree to learn. A user pastes a token contract, and Strata Maker reads the name, symbol, supply and pool address straight off the chain rather than depending on a third-party index. The engine confirms the token was minted on Pons, prices the run live as the user moves the sliders, and takes a single transfer when the configuration is set. The pricing is a flat one percent of the volume routed, paid once before anything starts, with a minimum run of 10 ETH and windows that range from two hours to three days.

The service is scoped to a single launchpad on purpose. Because the engine only has to understand Pons, its venue resolution and pacing are tuned to how Pons tokens behave rather than generalised across chains, and it declines any token that was not minted on Pons instead of handling it poorly. It is a purpose-built piece of volume infrastructure, not a catch-all tool wearing a Pons label.

Strata Maker is also plain about the boundary of what routed volume can do. It moves a pair up the screeners, the trending lists and the charts people scan, which is exactly the attention a fresh Pons launch lacks. It does not manufacture buyers, and the company states as much on its own site. The honest use of the tool is to get a real launch seen, on top of a token that gives people a reason to stay once they arrive. Strata Maker notes that it is an independent tool, not affiliated with or endorsed by Pons, Ponsfamily or Robinhood Markets, and that nothing it publishes is financial advice.

Strata Maker is available now at www.stratamaker.com, where a run is priced in front of the user before any transfer is made.

Media Contact

Organization: Strata Maker

Contact Person: Clementine Lehner

Website: https://www.stratamaker.com/

Email: Send Email

Country: United States

Release id: 48951

The post Strata Maker Launches a Pons Volume Bot to Get Pons Launchpad Tokens Noticed appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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RavenDB Launches Quill to Bring Production AI Agents to Enterprise SQL Systems, No Migration Required

Hadera, Israel, September 8th, 2026, TechnologyWire

The new context layer connects to existing SQL databases and builds a governed, model-agnostic foundation for AI agents running on live operational data, in weeks rather than years.

RavenDB, a NoSQL document database used by more than 12,000 customers, today announced the launch of its new product, Quill, a context layer for SQL databases that makes them ready for production AI agents without migrating the system of record or architecting a custom AI stack. 

With AI becoming a board-level mandate, CTOs and VPs of engineering are under pressure to ship AI capabilities fast. But for organizations whose mission-critical data sits in legacy SQL systems, built years before embeddings or agents existed, AI can’t access their data. Modernizing or replacing the systems is expensive, risky, and time-consuming. By the time the system is updated, nobody remembers what the project was supposed to achieve or how ROI was measured.

Recently, a Gartner survey of infrastructure and operations leaders found that one in five AI initiatives fail, and only 28% report a positive ROI, which is linked to how well the technology is integrated, governed, and aligned with operational needs, not to the sophistication of the model. As AI becomes the industry standard, organizations have been left without a clear path to deliver, until now. 

“Anyone can stand up an AI demo in an afternoon, but getting that demo into production with data pipelines, semantic search, security, governance, all the plumbing a small proof of concept doesn’t need until it has to run at scale, is the hard part,” said Oren Eini, founder and CEO of RavenDB. “Quill exists because we’d rather hand teams that plumbing already assembled than watch them rebuild the same project after project. You get access to the live data you need, decide the scope on day one, and change it as you go, instead of building everything from scratch.” 

Quill connects directly to an organization’s existing SQL database and puts a context layer on top of it, making it possible to launch production-ready agents in weeks rather than the 18 to 24 months of a typical in-house build. The source system stays exactly where it is and remains authoritative, and the full AI stack, search, retrieval, and agents that can answer questions, are included. Agents built on Quill support web chat, WhatsApp, Telegram, Slack, and Discord out of the box.

“With Quill, the plumbing was already there, so we spent our time building the actual feature,” said Hagay Albo, CEO at Albos Technologies and Holdings, an early adopter of Quill. 

By default, Quill is governed, sitting between the AI and the source system, and it is built on the assumption that the model itself cannot be trusted with unrestricted access, so organizations decide exactly what an agent can and cannot see, independent of the source database’s own permissions. In a healthcare setting, for example, an agent can answer a patient’s question about an upcoming appointment, while prescription data is never part of the dataset it can query. What is usually a custom security project becomes a configuration choice. Quill is also model-agnostic, so teams can use any AI model, switch providers, or run entirely on their own hardware. 

Quill is now available for organizations running PostgreSQL, SQL Server, or MySQL, with more databases to be supported in the future, and can be deployed in the cloud or on-premises to meet data-residency or regulatory requirements. 

To start using Quill today, visit: https://ravendb.net/quill

About RavenDB:

RavenDB is a hybrid NoSQL document database built for modern application development. Used by more than 12,000 customers across 50 industries, RavenDB helps teams move faster with seamless data management across cloud, on-prem, and edge environments. With full-text search, automatic indexes, and an easy-to-use studio for monitoring and administration, RavenDB is the database developers love and enterprises trust.

Learn more at www.ravendb.net

Contact

Shahni Ben-Haim
SBH Media Relations
shahni@sbhmedia.com

RavenDB Launches Quill to Bring Production AI Agents to Enterprise SQL Systems, No Migration Required

Hadera, Israel, September 8th, 2026, TechnologyWire

The new context layer connects to existing SQL databases and builds a governed, model-agnostic foundation for AI agents running on live operational data, in weeks rather than years.

RavenDB, a NoSQL document database used by more than 12,000 customers, today announced the launch of its new product, Quill, a context layer for SQL databases that makes them ready for production AI agents without migrating the system of record or architecting a custom AI stack. 

With AI becoming a board-level mandate, CTOs and VPs of engineering are under pressure to ship AI capabilities fast. But for organizations whose mission-critical data sits in legacy SQL systems, built years before embeddings or agents existed, AI can’t access their data. Modernizing or replacing the systems is expensive, risky, and time-consuming. By the time the system is updated, nobody remembers what the project was supposed to achieve or how ROI was measured.

Recently, a Gartner survey of infrastructure and operations leaders found that one in five AI initiatives fail, and only 28% report a positive ROI, which is linked to how well the technology is integrated, governed, and aligned with operational needs, not to the sophistication of the model. As AI becomes the industry standard, organizations have been left without a clear path to deliver, until now. 

“Anyone can stand up an AI demo in an afternoon, but getting that demo into production with data pipelines, semantic search, security, governance, all the plumbing a small proof of concept doesn’t need until it has to run at scale, is the hard part,” said Oren Eini, founder and CEO of RavenDB. “Quill exists because we’d rather hand teams that plumbing already assembled than watch them rebuild the same project after project. You get access to the live data you need, decide the scope on day one, and change it as you go, instead of building everything from scratch.” 

Quill connects directly to an organization’s existing SQL database and puts a context layer on top of it, making it possible to launch production-ready agents in weeks rather than the 18 to 24 months of a typical in-house build. The source system stays exactly where it is and remains authoritative, and the full AI stack, search, retrieval, and agents that can answer questions, are included. Agents built on Quill support web chat, WhatsApp, Telegram, Slack, and Discord out of the box.

“With Quill, the plumbing was already there, so we spent our time building the actual feature,” said Hagay Albo, CEO at Albos Technologies and Holdings, an early adopter of Quill. 

By default, Quill is governed, sitting between the AI and the source system, and it is built on the assumption that the model itself cannot be trusted with unrestricted access, so organizations decide exactly what an agent can and cannot see, independent of the source database’s own permissions. In a healthcare setting, for example, an agent can answer a patient’s question about an upcoming appointment, while prescription data is never part of the dataset it can query. What is usually a custom security project becomes a configuration choice. Quill is also model-agnostic, so teams can use any AI model, switch providers, or run entirely on their own hardware. 

Quill is now available for organizations running PostgreSQL, SQL Server, or MySQL, with more databases to be supported in the future, and can be deployed in the cloud or on-premises to meet data-residency or regulatory requirements. 

To start using Quill today, visit: https://ravendb.net/quill

About RavenDB:

RavenDB is a hybrid NoSQL document database built for modern application development. Used by more than 12,000 customers across 50 industries, RavenDB helps teams move faster with seamless data management across cloud, on-prem, and edge environments. With full-text search, automatic indexes, and an easy-to-use studio for monitoring and administration, RavenDB is the database developers love and enterprises trust.

Learn more at www.ravendb.net

Contact

Shahni Ben-Haim
SBH Media Relations
shahni@sbhmedia.com

Amboss and Aureo Connect the Lightning Network to Mexico’s Banking System

Mexico City, Mexico, September 9th, 2026, FinanceWire

Businesses and individuals anywhere in the world can now send payments that arrive as pesos in a Mexican bank account in seconds

Amboss Technologies, the payments platform that connects businesses to instant, global payments, and Aureo, the Mexican platform that converts Lightning payments directly into peso bank deposits, today announced an integration that links the global Lightning Network to Mexico’s banking system end to end.

Until now, the Lightning Network’s instant settlement stopped at the edge of Mexico’s financial system. With this integration, any business using Amboss Payments can route funds to an Aureo Lightning address and have them arrive as Mexican pesos in a bank account via SPEI, Mexico’s interbank transfer system, in seconds. A customer pays in bitcoin over the Lightning Network, and the recipient in Mexico receives pesos in their bank account without touching an exchange.

Lightning payments have become increasingly popular, with a reach of more than 900 million users globally through exchange apps including Coinbase, Binance, and Cash App. For businesses, Lightning payments cost less than traditional payment cards and settle instantly and finally, with no chargeback risk, making them an attractive supplement to card processing.

The timing reflects a large and underserved market. The United States and Mexico traded an estimated $872 billion in goods in 2025, making Mexico America’s largest trading partner, yet most cross-border business payments still move on slow and costly correspondent banking rails.

With Amboss and Aureo connected, a Mexican business can accept Lightning payments from customers across the United States and globally, hold balances in bitcoin, USDT, or USDC to manage treasury, and move funds to their Mexican bank account whenever they choose.

“Payment rails between the US and Mexico were designed decades ago, and businesses on both sides of the border pay for that every day,” said Jesse Shrader, CEO and Co-Founder of Amboss Technologies.

With Aureo, a Mexican business can accept payments from more than 900 million people through the apps they already use, at a lower cost than card processing, with no chargebacks, and receive pesos in its bank account within seconds. But the opportunity goes beyond accepting payments: Mexican and international businesses can also use the same infrastructure to send pesos to suppliers, contractors, workers, or any other recipient with a Mexican bank account. That is what modern cross-border settlement should look like.

Mexican businesses have always been ready to sell to the world. What they lacked was a payment rail that matched their ambition,” said Gustavo Flores, CEO and Founder of Aureo. “By connecting to Amboss, we make it possible for any business in Mexico to accept instant payments from customers anywhere and receive pesos directly in its bank account, fully compliant with Mexican regulations. Through Aureo’s Direct to Bank feature, a business only needs to set up an Aureo Lightning address once and link it to its Mexican bank account. From that point on, incoming Lightning payments are automatically converted and deposited as pesos, removing the complexity of creating and paying individual Lightning invoices. This is the missing link between the global economy and the Mexican banking system.

The integration is live today. Aureo appears in the Destinations and Integrations sections of the Amboss Payments app, where users can direct incoming payments to any Aureo Lightning address. Aureo operates in full compliance with Mexican regulatory requirements, including KYC verification for all users.

About Amboss Technologies

Amboss connects businesses to instant, global payments with stable money. Businesses send and receive bitcoin with instant conversion to USDT or USDC for no volatility into self-custody. Learn more about reaching 900M+ compatible customers at amboss.tech or meet here.

About Aureo

Aureo is a Mexican platform that connects the Lightning Network to the Mexican banking system. With an Aureo Lightning address, incoming payments are automatically converted to pesos and deposited directly into a Mexican bank account via SPEI. Learn more at aureobitcoin.com.

If interested in exploring how to integrate Bitcoin infrastructure into business in Mexico, users can book a free call with one of Aureo’s founders here.

 Media Contacts

Aureo: maciej@aureobitcoin.com

Contact

Founder
Phil
21M Communications
phil@21mcommunications.com

Global Multi-Asset Broker FP Markets Secures UAE CMA Category 5 Licence

Limassol, Cyprus, September 9th, 2026, FinanceWire

Global multi-asset Forex and CFD broker FP Markets has been granted a Category 5 Licence by the UAE’s Capital Market Authority (CMA), formerly the Securities and Commodities Authority (SCA), adding to the Australian-founded broker’s global regulatory footprint and marking a strategic step into the UAE market. 

The licence, held by group entity FP Markets MENA Securities L.L.C. S.O.C., permits the broker to carry out marketing, promotional, and client introduction activities in Dubai and across the Emirates. In recent years, the UAE has drawn growing numbers of brokers, fintechs, and financial services providers looking to operate on more solid regulatory ground as they build out their regional client base. 

John Lewis, FP Markets Chief Marketing Officer, stated: ‘Securing a CMA licence is part of FP Markets’ longer-term approach to regulation. Over the past 20 years, each licence we’ve added has built toward the multi-regulated presence we operate today, and the UAE is a natural next step in that. For our clients and partners, this means added security, transparency, and quality of service.’   

The licence also underpins a more direct regulatory relationship within the UAE market, on top of FP Markets’ existing multi-jurisdictional oversight. FP Markets holds licences across multiple leading jurisdictions including: the Australian Securities and Investments Commission (ASIC), the Financial Services Authority (FSA) in Seychelles, the Financial Sector Conduct Authority (FSCA) of South Africa, and the Capital Markets Authority (CMA) of Kenya.

FP Markets will continue to expand its regulatory coverage across markets, in conjunction with ongoing investment in its trading infrastructure, technology, and support functions, ensuring that the pace of regulatory growth is matched by the award-winning quality of service the broker offers to clients and partners alike. 

About FP Markets

FP Markets is a global, multi-regulated, award-winning broker established in Sydney, Australia in 2005. The broker offers 10,000+ CFD instruments across seven asset classes, available on industry-leading platforms including MetaTrader 4/5, TradingView, and cTrader. 

FP Markets’ regulatory presence includes the Australian Securities and Investments Commission (ASIC), the Financial Services Authority (FSA) in Seychelles, the Financial Sector Conduct Authority (FSCA) of South Africa, and the Capital Markets Authority (CMA) of Kenya.

For more information, users can visit www.fpmarkets.com

Contact

CMO
John Lewis
FP Markets
j.lewis@fpmarkets.com