McKinney, USA, September 10th, 2026, FinanceWire

ScienceSoft has released proprietary research on how midsize US insurers will address artificial intelligence (AI) risks in coverage and underwriting through 2028. Drawing on insurance market data, perspectives from industry experts, and ScienceSoft’s experience working with insurance organizations, the research examines whether growing AI-related losses will lead to a new class of AI-specific insurance.

The research forecasts that by 2028, 60–80% of new policies and renewals in errors and omissions (E&O), directors and officers (D&O), employment practices liability (EPL), and cyber insurance will factor AI risks into underwriting. However, ScienceSoft expects most midsize US insurers to continue covering AI risks primarily through existing lines of business rather than standalone AI policies. The research team anticipates AI-specific insurance to grow rapidly but remain a small niche in the commercial insurance market.

ScienceSoft finds that demand for clearer AI coverage is rising alongside AI-related incidents. The research points to a 262% rise in publicly documented AI incidents from 2022 to 2025 and highlights businesses are showing strong interest in protection against emerging liabilities associated with AI. Insurers take several approaches to making AI treatment more explicit, including affirmative policy wording, AI exclusions, specialized endorsements, and dedicated AI insurance products.

At the same time, the research reveals that much of today’s AI exposure remains covered through traditional insurance products. ScienceSoft concludes that AI-specific insurance is unlikely to become mainstream by 2028, despite the projected strong market growth (from $40 million in 2024 to $4.8 billion by 2032, at a roughly 80% CAGR). Yet even at that pace, the segment is projected to account for only around 0.34% of commercial P&C premiums by 2032. The research team expects unclear liability attribution, accumulation risk, limited loss history, and regulatory uncertainty to continue slowing the development of dedicated AI coverage.

The research findings suggest that underwriting will adapt considerably faster than coverage. ScienceSoft finds that insurers are beginning to assess not only whether businesses use AI but also how AI systems are governed, what level of autonomy they have, and what controls organizations have in place. The research team expects these factors to increasingly influence premiums, coverage conditions, and risk control requirements through 2028.

Beyond its market forecast, the research examines what these changes mean for insurers, brokers, commercial insurance customers, AI software providers, regulators, and individuals. In particular, it explores how insurers may need to adapt underwriting and claims processes, why insureds may increasingly require broker services as AI-specific insurance develops, and why AI vendors may become one of the main customer groups for AI liability insurance.

Read the full report for more insights.

About ScienceSoft

ScienceSoft is a Texas-headquartered AI transformation and software engineering company with 37 years of experience in artificial intelligence and 14 years in insurance IT. The company holds the 2025 Global Award for Insurance Digital Transformation Excellence and the 2026 AI Leader Award for Best AI Solution for Insurance. With long-standing experience across AI and insurance technology, ScienceSoft’s experts bring a practical perspective on how emerging AI risks may affect insurers’ operations, technology, and the broader market.

Press Inquiries Welcome

ScienceSoft’s consultants and financial researchers are available to provide expert commentary on AI-related commercial risks and emerging, technology-enabled approaches to AI risk coverage and underwriting. For media inquiries, please follow the link.

Contact

Media and Analyst Relations Specialist
Alexa Tsviatkova
ScienceSoft
adtsviatkova@scnsoft.com

McKinney, USA, September 10th, 2026, FinanceWire

ScienceSoft has released proprietary research on how midsize US insurers will address artificial intelligence (AI) risks in coverage and underwriting through 2028. Drawing on insurance market data, perspectives from industry experts, and ScienceSoft’s experience working with insurance organizations, the research examines whether growing AI-related losses will lead to a new class of AI-specific insurance.

The research forecasts that by 2028, 60–80% of new policies and renewals in errors and omissions (E&O), directors and officers (D&O), employment practices liability (EPL), and cyber insurance will factor AI risks into underwriting. However, ScienceSoft expects most midsize US insurers to continue covering AI risks primarily through existing lines of business rather than standalone AI policies. The research team anticipates AI-specific insurance to grow rapidly but remain a small niche in the commercial insurance market.

ScienceSoft finds that demand for clearer AI coverage is rising alongside AI-related incidents. The research points to a 262% rise in publicly documented AI incidents from 2022 to 2025 and highlights businesses are showing strong interest in protection against emerging liabilities associated with AI. Insurers take several approaches to making AI treatment more explicit, including affirmative policy wording, AI exclusions, specialized endorsements, and dedicated AI insurance products.

At the same time, the research reveals that much of today’s AI exposure remains covered through traditional insurance products. ScienceSoft concludes that AI-specific insurance is unlikely to become mainstream by 2028, despite the projected strong market growth (from $40 million in 2024 to $4.8 billion by 2032, at a roughly 80% CAGR). Yet even at that pace, the segment is projected to account for only around 0.34% of commercial P&C premiums by 2032. The research team expects unclear liability attribution, accumulation risk, limited loss history, and regulatory uncertainty to continue slowing the development of dedicated AI coverage.

The research findings suggest that underwriting will adapt considerably faster than coverage. ScienceSoft finds that insurers are beginning to assess not only whether businesses use AI but also how AI systems are governed, what level of autonomy they have, and what controls organizations have in place. The research team expects these factors to increasingly influence premiums, coverage conditions, and risk control requirements through 2028.

Beyond its market forecast, the research examines what these changes mean for insurers, brokers, commercial insurance customers, AI software providers, regulators, and individuals. In particular, it explores how insurers may need to adapt underwriting and claims processes, why insureds may increasingly require broker services as AI-specific insurance develops, and why AI vendors may become one of the main customer groups for AI liability insurance.

Read the full report for more insights.

About ScienceSoft

ScienceSoft is a Texas-headquartered AI transformation and software engineering company with 37 years of experience in artificial intelligence and 14 years in insurance IT. The company holds the 2025 Global Award for Insurance Digital Transformation Excellence and the 2026 AI Leader Award for Best AI Solution for Insurance. With long-standing experience across AI and insurance technology, ScienceSoft’s experts bring a practical perspective on how emerging AI risks may affect insurers’ operations, technology, and the broader market.

Press Inquiries Welcome

ScienceSoft’s consultants and financial researchers are available to provide expert commentary on AI-related commercial risks and emerging, technology-enabled approaches to AI risk coverage and underwriting. For media inquiries, please follow the link.

Contact

Media and Analyst Relations Specialist
Alexa Tsviatkova
ScienceSoft
adtsviatkova@scnsoft.com

NEW YORK, NEW YORK, September 10th, 2026, FinanceWire

Tribal’s Campfire is a shared canvas that lets enterprises build and change their own Salesforce org at the speed of business, with security, permissions and dependencies intact 

Enterprise-native AI platform Tribal today launched Campfire, a shared, production-grounded workspace that brings business users, architects, security teams, admins, reviewers, and testers into one governed process for building applications on Salesforce (NYSE: CRM).

Salesforce’s move toward Headless 360 is expanding how users, agents, and applications can interact with the platform. For large enterprises, that creates a new challenge: how to let more people build without losing control of the org. 

Campfire replaces disconnected handoffs with one shared workspace where business leaders, architects, security teams, and admins build together. Business leaders define the outcome, architects identify dependencies, security sets the guardrails, and admins turn the approved design into a production-ready solution. Requirements, risks, and decisions stay aligned from idea through deployment.

Every participant works from the same context, grounded in the systems already running in production. Tribal’s Metadata Fabric continuously maps the org’s objects, automations, permissions, business rules, and dependencies. This allows teams to move directly into building instead of spending cycles reconciling conflicting context and assumptions across separate AI tools. 

From there, Campfire turns the shared design into an application built on Agentforce and Omni-Channel, with the agreed workflows and guardrails carried through.

“The biggest bottleneck in enterprise software is not a shortage of ideas. It is everything that has to happen between an idea and production,” said Yoav Kolodner, Co-founder and CEO of Tribal. “Campfire addresses what comes next: how enterprises decide what automations, objects, and AI applications to build, bring the right people into that decision, and move safely into production.”

Campfire is designed to help enterprises retain ownership of their mission-critical Salesforce systems rather than route every change through a central development queue or implementation partner. Because applications are built inside Salesforce, teams retain their existing permissions, governance, and audit controls instead of recreating them in external tools. Campfire applies those guardrails throughout the build process, allowing more people to contribute without compromising the org. 

“The best ideas in a Salesforce org rarely come only from the people with permission to build,” said Uri Pintov, CPO of Tribal. “They come from the people closest to the work, who usually have no way to act on them. Campfire lets those people shape the solution without forcing the enterprise to choose between speed and security.”

For global companies, that model also changes how Salesforce programs scale. ADAMA, a global crop protection company, used Tribal to support its Agentforce rollout across 19 countries. Rather than one central team guessing at what every market needed, or 19 local builds drifting apart, the teams closest to each market shaped their own requirements on a shared foundation, with separation maintained between markets where local requirements called for it. 

“With Tribal, we move significantly faster, iterating quickly and deploying to production with confidence. We’re now able to better serve users in 19 countries while streamlining how they work with data across both new and existing markets,” said Nir Rehav, CIO of ADAMA.

The same holds on everyday enterprise needs. One customer used Campfire to build a commission calculator for its sales team, a project that would normally have required an implementation partner, a six-figure budget and months of work. 

As AI expands who can build inside enterprise systems, the challenge is no longer generating solutions. It is coordinating the people, context, and controls required to deploy them safely. Campfire gives CIOs a way to increase development speed without loosening governance or fragmenting the systems their businesses run on. 

Tribal Campfire is rolling out to customers now. Tribal will demonstrate Campfire during Dreamforce 2026, September 15 to 17, at Moscone Center in San Francisco.

About Tribal

Tribal is an enterprise AI platform that lets companies own their mission-critical systems and manage them at the speed of business. Founded by Wix and Salesforce veterans, Tribal’s Metadata Fabric maps the full org and, with a team of AI agents on top, enables teams to build and change these systems 10x faster inside their existing security guardrails. Tribal supports Salesforce, ServiceNow, Snowflake, and other key enterprise systems of record. 

For more information, visit https://gotribal.ai/.

Salesforce, Agentforce and other Salesforce marks are trademarks or registered trademarks of Salesforce, Inc. 

Contact

PR
Orian Tal
Tribal
orian@thepitch.media

McKinney, USA, September 10th, 2026, FinanceWire

ScienceSoft has released proprietary research on how midsize US insurers will address artificial intelligence (AI) risks in coverage and underwriting through 2028. Drawing on insurance market data, perspectives from industry experts, and ScienceSoft’s experience working with insurance organizations, the research examines whether growing AI-related losses will lead to a new class of AI-specific insurance.

The research forecasts that by 2028, 60–80% of new policies and renewals in errors and omissions (E&O), directors and officers (D&O), employment practices liability (EPL), and cyber insurance will factor AI risks into underwriting. However, ScienceSoft expects most midsize US insurers to continue covering AI risks primarily through existing lines of business rather than standalone AI policies. The research team anticipates AI-specific insurance to grow rapidly but remain a small niche in the commercial insurance market.

ScienceSoft finds that demand for clearer AI coverage is rising alongside AI-related incidents. The research points to a 262% rise in publicly documented AI incidents from 2022 to 2025 and highlights businesses are showing strong interest in protection against emerging liabilities associated with AI. Insurers take several approaches to making AI treatment more explicit, including affirmative policy wording, AI exclusions, specialized endorsements, and dedicated AI insurance products.

At the same time, the research reveals that much of today’s AI exposure remains covered through traditional insurance products. ScienceSoft concludes that AI-specific insurance is unlikely to become mainstream by 2028, despite the projected strong market growth (from $40 million in 2024 to $4.8 billion by 2032, at a roughly 80% CAGR). Yet even at that pace, the segment is projected to account for only around 0.34% of commercial P&C premiums by 2032. The research team expects unclear liability attribution, accumulation risk, limited loss history, and regulatory uncertainty to continue slowing the development of dedicated AI coverage.

The research findings suggest that underwriting will adapt considerably faster than coverage. ScienceSoft finds that insurers are beginning to assess not only whether businesses use AI but also how AI systems are governed, what level of autonomy they have, and what controls organizations have in place. The research team expects these factors to increasingly influence premiums, coverage conditions, and risk control requirements through 2028.

Beyond its market forecast, the research examines what these changes mean for insurers, brokers, commercial insurance customers, AI software providers, regulators, and individuals. In particular, it explores how insurers may need to adapt underwriting and claims processes, why insureds may increasingly require broker services as AI-specific insurance develops, and why AI vendors may become one of the main customer groups for AI liability insurance.

Read the full report for more insights.

About ScienceSoft

ScienceSoft is a Texas-headquartered AI transformation and software engineering company with 37 years of experience in artificial intelligence and 14 years in insurance IT. The company holds the 2025 Global Award for Insurance Digital Transformation Excellence and the 2026 AI Leader Award for Best AI Solution for Insurance. With long-standing experience across AI and insurance technology, ScienceSoft’s experts bring a practical perspective on how emerging AI risks may affect insurers’ operations, technology, and the broader market.

Press Inquiries Welcome

ScienceSoft’s consultants and financial researchers are available to provide expert commentary on AI-related commercial risks and emerging, technology-enabled approaches to AI risk coverage and underwriting. For media inquiries, please follow the link.

Contact

Media and Analyst Relations Specialist
Alexa Tsviatkova
ScienceSoft
adtsviatkova@scnsoft.com

McKinney, USA, September 10th, 2026, FinanceWire

ScienceSoft has released proprietary research on how midsize US insurers will address artificial intelligence (AI) risks in coverage and underwriting through 2028. Drawing on insurance market data, perspectives from industry experts, and ScienceSoft’s experience working with insurance organizations, the research examines whether growing AI-related losses will lead to a new class of AI-specific insurance.

The research forecasts that by 2028, 60–80% of new policies and renewals in errors and omissions (E&O), directors and officers (D&O), employment practices liability (EPL), and cyber insurance will factor AI risks into underwriting. However, ScienceSoft expects most midsize US insurers to continue covering AI risks primarily through existing lines of business rather than standalone AI policies. The research team anticipates AI-specific insurance to grow rapidly but remain a small niche in the commercial insurance market.

ScienceSoft finds that demand for clearer AI coverage is rising alongside AI-related incidents. The research points to a 262% rise in publicly documented AI incidents from 2022 to 2025 and highlights businesses are showing strong interest in protection against emerging liabilities associated with AI. Insurers take several approaches to making AI treatment more explicit, including affirmative policy wording, AI exclusions, specialized endorsements, and dedicated AI insurance products.

At the same time, the research reveals that much of today’s AI exposure remains covered through traditional insurance products. ScienceSoft concludes that AI-specific insurance is unlikely to become mainstream by 2028, despite the projected strong market growth (from $40 million in 2024 to $4.8 billion by 2032, at a roughly 80% CAGR). Yet even at that pace, the segment is projected to account for only around 0.34% of commercial P&C premiums by 2032. The research team expects unclear liability attribution, accumulation risk, limited loss history, and regulatory uncertainty to continue slowing the development of dedicated AI coverage.

The research findings suggest that underwriting will adapt considerably faster than coverage. ScienceSoft finds that insurers are beginning to assess not only whether businesses use AI but also how AI systems are governed, what level of autonomy they have, and what controls organizations have in place. The research team expects these factors to increasingly influence premiums, coverage conditions, and risk control requirements through 2028.

Beyond its market forecast, the research examines what these changes mean for insurers, brokers, commercial insurance customers, AI software providers, regulators, and individuals. In particular, it explores how insurers may need to adapt underwriting and claims processes, why insureds may increasingly require broker services as AI-specific insurance develops, and why AI vendors may become one of the main customer groups for AI liability insurance.

Read the full report for more insights.

About ScienceSoft

ScienceSoft is a Texas-headquartered AI transformation and software engineering company with 37 years of experience in artificial intelligence and 14 years in insurance IT. The company holds the 2025 Global Award for Insurance Digital Transformation Excellence and the 2026 AI Leader Award for Best AI Solution for Insurance. With long-standing experience across AI and insurance technology, ScienceSoft’s experts bring a practical perspective on how emerging AI risks may affect insurers’ operations, technology, and the broader market.

Press Inquiries Welcome

ScienceSoft’s consultants and financial researchers are available to provide expert commentary on AI-related commercial risks and emerging, technology-enabled approaches to AI risk coverage and underwriting. For media inquiries, please follow the link.

Contact

Media and Analyst Relations Specialist
Alexa Tsviatkova
ScienceSoft
adtsviatkova@scnsoft.com

NEW YORK, NEW YORK, September 10th, 2026, FinanceWire

Tribal’s Campfire is a shared canvas that lets enterprises build and change their own Salesforce org at the speed of business, with security, permissions and dependencies intact 

Enterprise-native AI platform Tribal today launched Campfire, a shared, production-grounded workspace that brings business users, architects, security teams, admins, reviewers, and testers into one governed process for building applications on Salesforce (NYSE: CRM).

Salesforce’s move toward Headless 360 is expanding how users, agents, and applications can interact with the platform. For large enterprises, that creates a new challenge: how to let more people build without losing control of the org. 

Campfire replaces disconnected handoffs with one shared workspace where business leaders, architects, security teams, and admins build together. Business leaders define the outcome, architects identify dependencies, security sets the guardrails, and admins turn the approved design into a production-ready solution. Requirements, risks, and decisions stay aligned from idea through deployment.

Every participant works from the same context, grounded in the systems already running in production. Tribal’s Metadata Fabric continuously maps the org’s objects, automations, permissions, business rules, and dependencies. This allows teams to move directly into building instead of spending cycles reconciling conflicting context and assumptions across separate AI tools. 

From there, Campfire turns the shared design into an application built on Agentforce and Omni-Channel, with the agreed workflows and guardrails carried through.

“The biggest bottleneck in enterprise software is not a shortage of ideas. It is everything that has to happen between an idea and production,” said Yoav Kolodner, Co-founder and CEO of Tribal. “Campfire addresses what comes next: how enterprises decide what automations, objects, and AI applications to build, bring the right people into that decision, and move safely into production.”

Campfire is designed to help enterprises retain ownership of their mission-critical Salesforce systems rather than route every change through a central development queue or implementation partner. Because applications are built inside Salesforce, teams retain their existing permissions, governance, and audit controls instead of recreating them in external tools. Campfire applies those guardrails throughout the build process, allowing more people to contribute without compromising the org. 

“The best ideas in a Salesforce org rarely come only from the people with permission to build,” said Uri Pintov, CPO of Tribal. “They come from the people closest to the work, who usually have no way to act on them. Campfire lets those people shape the solution without forcing the enterprise to choose between speed and security.”

For global companies, that model also changes how Salesforce programs scale. ADAMA, a global crop protection company, used Tribal to support its Agentforce rollout across 19 countries. Rather than one central team guessing at what every market needed, or 19 local builds drifting apart, the teams closest to each market shaped their own requirements on a shared foundation, with separation maintained between markets where local requirements called for it. 

“With Tribal, we move significantly faster, iterating quickly and deploying to production with confidence. We’re now able to better serve users in 19 countries while streamlining how they work with data across both new and existing markets,” said Nir Rehav, CIO of ADAMA.

The same holds on everyday enterprise needs. One customer used Campfire to build a commission calculator for its sales team, a project that would normally have required an implementation partner, a six-figure budget and months of work. 

As AI expands who can build inside enterprise systems, the challenge is no longer generating solutions. It is coordinating the people, context, and controls required to deploy them safely. Campfire gives CIOs a way to increase development speed without loosening governance or fragmenting the systems their businesses run on. 

Tribal Campfire is rolling out to customers now. Tribal will demonstrate Campfire during Dreamforce 2026, September 15 to 17, at Moscone Center in San Francisco.

About Tribal

Tribal is an enterprise AI platform that lets companies own their mission-critical systems and manage them at the speed of business. Founded by Wix and Salesforce veterans, Tribal’s Metadata Fabric maps the full org and, with a team of AI agents on top, enables teams to build and change these systems 10x faster inside their existing security guardrails. Tribal supports Salesforce, ServiceNow, Snowflake, and other key enterprise systems of record. 

For more information, visit https://gotribal.ai/.

Salesforce, Agentforce and other Salesforce marks are trademarks or registered trademarks of Salesforce, Inc. 

Contact

PR
Orian Tal
Tribal
orian@thepitch.media

McKinney, USA, September 10th, 2026, FinanceWire

ScienceSoft has released proprietary research on how midsize US insurers will address artificial intelligence (AI) risks in coverage and underwriting through 2028. Drawing on insurance market data, perspectives from industry experts, and ScienceSoft’s experience working with insurance organizations, the research examines whether growing AI-related losses will lead to a new class of AI-specific insurance.

The research forecasts that by 2028, 60–80% of new policies and renewals in errors and omissions (E&O), directors and officers (D&O), employment practices liability (EPL), and cyber insurance will factor AI risks into underwriting. However, ScienceSoft expects most midsize US insurers to continue covering AI risks primarily through existing lines of business rather than standalone AI policies. The research team anticipates AI-specific insurance to grow rapidly but remain a small niche in the commercial insurance market.

ScienceSoft finds that demand for clearer AI coverage is rising alongside AI-related incidents. The research points to a 262% rise in publicly documented AI incidents from 2022 to 2025 and highlights businesses are showing strong interest in protection against emerging liabilities associated with AI. Insurers take several approaches to making AI treatment more explicit, including affirmative policy wording, AI exclusions, specialized endorsements, and dedicated AI insurance products.

At the same time, the research reveals that much of today’s AI exposure remains covered through traditional insurance products. ScienceSoft concludes that AI-specific insurance is unlikely to become mainstream by 2028, despite the projected strong market growth (from $40 million in 2024 to $4.8 billion by 2032, at a roughly 80% CAGR). Yet even at that pace, the segment is projected to account for only around 0.34% of commercial P&C premiums by 2032. The research team expects unclear liability attribution, accumulation risk, limited loss history, and regulatory uncertainty to continue slowing the development of dedicated AI coverage.

The research findings suggest that underwriting will adapt considerably faster than coverage. ScienceSoft finds that insurers are beginning to assess not only whether businesses use AI but also how AI systems are governed, what level of autonomy they have, and what controls organizations have in place. The research team expects these factors to increasingly influence premiums, coverage conditions, and risk control requirements through 2028.

Beyond its market forecast, the research examines what these changes mean for insurers, brokers, commercial insurance customers, AI software providers, regulators, and individuals. In particular, it explores how insurers may need to adapt underwriting and claims processes, why insureds may increasingly require broker services as AI-specific insurance develops, and why AI vendors may become one of the main customer groups for AI liability insurance.

Read the full report for more insights.

About ScienceSoft

ScienceSoft is a Texas-headquartered AI transformation and software engineering company with 37 years of experience in artificial intelligence and 14 years in insurance IT. The company holds the 2025 Global Award for Insurance Digital Transformation Excellence and the 2026 AI Leader Award for Best AI Solution for Insurance. With long-standing experience across AI and insurance technology, ScienceSoft’s experts bring a practical perspective on how emerging AI risks may affect insurers’ operations, technology, and the broader market.

Press Inquiries Welcome

ScienceSoft’s consultants and financial researchers are available to provide expert commentary on AI-related commercial risks and emerging, technology-enabled approaches to AI risk coverage and underwriting. For media inquiries, please follow the link.

Contact

Media and Analyst Relations Specialist
Alexa Tsviatkova
ScienceSoft
adtsviatkova@scnsoft.com

Saint Louis, Missouri, United States, 10th Sep 2026 – Karviva, the St. Louis-based functional beverage company founded by Dr. Angela Zeng, has been selected to participate in the Hy-Vee Opportunity Supplier Impact Summit, a curated supplier event bringing together brands chosen by the retailer for meetings with its buying team.

Karviva was selected from nearly 1,000 applicants to attend the September 9 to 10 summit in West Des Moines, Iowa. As part of the selection, Hy-Vee approved three Karviva products for presentation during the event:

• Karviva JOY-D Prebiotic & Antioxidant Whole Plant Juice
• Karviva ACE (Antioxidant-Collagen-Electrolytes) Juice Drink: Bold Berry Lemonade
• Karviva Energy Juice – Hibiscus Pomegranate

The invitation recognizes brands that have been selected through Hy-Vee’s supplier review process and invited to meet directly with the retailer’s merchandising team.

“We’re honored to be selected for the Hy-Vee Opportunity Supplier Impact Summit,” said Dr. Angela Zeng, founder and CEO of Karviva. “Retail partnerships play an important role in helping emerging brands reach new communities, and we appreciate the opportunity to introduce Karviva and our products to the Hy-Vee team.”

Founded by food scientist and Traditional Chinese Medicine scholar Dr. Angela Zeng, Karviva develops plant-based functional beverages inspired by Traditional Chinese Medicine and modern nutritional science. The company’s portfolio includes beverages formulated with whole-food ingredients, botanicals, and prebiotic fiber across hydration, juice, and functional beverage categories.

The Hy-Vee Opportunity Supplier Impact Summit brings together selected suppliers and the retailer’s buying teams to explore potential merchandising opportunities across approved product categories. Participation provides selected brands with the opportunity to present their products and discuss future retail opportunities with Hy-Vee merchants.

About Karviva

Karviva is a St. Louis-based beverage company founded by Dr. Angela Zeng. Inspired by Traditional Chinese Medicine and modern nutritional science, the company develops plant-based functional beverages using whole-food ingredients, botanicals, and prebiotic fiber. Its product portfolio includes juices, protein smoothies, hydration beverages, and wellness drinks designed to meet a variety of consumer preferences. Through ongoing product innovation and retail expansion, Karviva continues to grow its presence while introducing more consumers to thoughtfully developed functional beverages.

Media Contact

Organization: Karviva

Contact Person: Dr. Angela Zeng

Website: https://karviva.com/

Email:
angela@karviva.com

City: Saint Louis

State: Missouri

Country: United States

Release id: 48922

The post Karviva Selected for Hy-Vee Opportunity Supplier Impact Summit 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

Peer-reviewed synthetic user research platform delivering 86 percent human accuracy with AI-generated personas matched to your ideal customer profile, now with Live Calls for real-time voice conversations.

Dubai, United Arab Emirates, 10th Sep 2026 – Articos, a peer-reviewed synthetic user research platform for SaaS marketing teams and agencies, today announced the launch of its platform and the general availability of Live Calls, a new capability for real-time voice conversations with simulated personas. The platform helps teams validate messaging, positioning, and landing pages in under 30 minutes using AI-generated personas built on peer-reviewed methodology grounded in behavioral science.

Peer-reviewed methodology at the core

Articos runs on methodology peer-reviewed across 46 controlled studies in 9 domains, demonstrating 86 percent human accuracy against publicly documented user research benchmarks. The full methodology is published openly and accessible for buyer diligence. This validation distinguishes Articos within the synthetic user research category, where most platforms operate without independent methodology publication.

For user research tasks specifically, Articos delivers 7.5 times greater accuracy than general-purpose AI models used directly for the same work, with statistical significance validated through peer review.

What Live Calls enables

Live Calls allows teams to hold real-time voice conversations with their simulated audience at any point in a study. This complements the platform’s existing “Talk to Research” capability for written follow-ups, giving teams two ways to understand persona reasoning and reach faster, more confident decisions.

The capability is particularly useful for exploring unexpected findings, unpacking nuance in persona responses, and gathering richer qualitative signal from a completed study.

How the platform works

A team describes what it wants to test (a headline, pricing page, or positioning statement) and selects a study type: message testing, landing page testing, user interviews, or an A/B comparison. Articos generates simulated personas matched to the target buyer, runs the interviews, and returns a structured report with findings traced back to individual persona responses. Agencies can white-label the output for client presentations.

“Most companies don’t skip research because they don’t care. They skip it because it takes weeks and costs thousands. Articos removes both barriers with peer-reviewed methodology that runs in under 30 minutes, and Live Calls now lets teams go even deeper by talking to personas directly,” said Shaheer Gadit, founder of Articos.

Articos marked the Live Calls launch this month with a Product Hunt debut, ranking third and drawing engagement from startups, marketing teams, and agencies exploring peer-reviewed approaches to AI-generated user research.

Articos is available today at articos.com. Product details and methodology documentation are available on the company website.

About Articos

Articos is a peer-reviewed synthetic user research platform for SaaS marketing teams and agencies. Founded in 2025 and headquartered in Dubai, UAE, the company helps teams test messaging, positioning, and landing pages against simulated personas matched to their ideal customer profile. Learn more at articos.com.

Media Contact

Organization: Articos

Contact Person: Owais Khan

Website: https://articos.com/

Email:
team@articos.com

Contact Number: +971547885575

Address: –

Country: United Arab Emirates

Release id: 48938

The post Articos Debuts Peer-Reviewed Synthetic User Research Platform with Live Calls Capability 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

McKinney, USA, September 10th, 2026, FinanceWire

ScienceSoft has released new proprietary research on the role of tokenization in the real estate investment landscape. Drawing on market statistics, firsthand perspectives from industry experts, and ScienceSoft’s experience delivering technology projects in the niche, the report examines whether tokenized real estate will evolve into a mainstream investment vehicle.

The research forecasts that by 2030, the global market for tokenized real estate could reach up to $3 trillion and represent 15% of real estate assets under management. ScienceSoft concludes that market growth will depend less on technological innovation and more on the industry’s ability to overcome regulatory and market infrastructure barriers.

According to the report, institutional and high-net-worth investors already recognize tokenized real estate as one of the most promising asset classes, suggesting that investor demand is no longer an obstacle to adoption. It also finds that tokenization technology has matured beyond the experimental stage, with real estate owners and managers actively exploring, piloting, and deploying tokenization solutions.

At the same time, the report identifies secondary market liquidity as one of the industry’s biggest unresolved challenges, explaining how fragmented trading infrastructure and limited interoperability continue to restrict one of tokenization’s key value propositions. The report also examines how existing securities regulations constrain broader market participation and why evolving regulatory frameworks will play a critical role in accelerating market growth.

Beyond market forecasts, the study addresses practical questions real estate owners and managers face when implementing tokenization strategies. It compares custom and off-the-shelf tokenization platforms, explores how compliance requirements influence platform architecture, and reviews the solutions currently available for primary token issuance and secondary trading.

ScienceSoft also analyzes how tokenization is reshaping the broader real estate ecosystem. The report explores the opportunities and potential business model disruptions for investors, property sellers, asset managers, brokers, REITs, mortgage providers, technology vendors, and other market participants.

Read the full report for more insights.

About ScienceSoft

ScienceSoft is a Texas-based AI transformation and software engineering company serving the investment industry since 2007. With hands-on experience delivering blockchain-based tokenization solutions, ScienceSoft provides end-to-end consulting, engineering, and support to help real estate owners and managers securely tokenize and trade their assets. The company’s blockchain consultants, principal architects, and delivery experts have extensive experience addressing the regulatory, technical, and operational challenges of real-world asset tokenization initiatives.

Press Inquiries Welcome

ScienceSoft’s consultants, architects, and delivery managers are available to provide expert commentary on the real estate tokenization market and the development of token issuance and trading solutions. For media inquiries, please follow the link.

Contact

Media and Analyst Relations Specialist
Alexa Tsviatkova
ScienceSoft
adtsviatkova@scnsoft.com