Converge AI Extends Its AI-Native Workspace to the Restaurant Industry

Platform connects marketing, operations, and guest engagement workflows for multi-unit operators, moving restaurant AI from pilot projects to everyday execution

RANCHO PALOS VERDES, Calif., July 23, 2026 /PRNewswire/ -- Converge AI today outlined how its AI-native workspace can support restaurant marketing, operations, and guest engagement, as the company advances follow-up conversations with industry leaders and multi-unit operators at CREATE 2026, the Nation's Restaurant News foodservice conference at Terranea Resort.

The restaurant industry is among the most operationally demanding sectors of the US economy. Multi-unit brands coordinate campaign calendars, limited-time offer rollouts, franchisee communications, guest feedback, and unit-level performance across dozens or hundreds of locations, often with lean corporate teams supporting field operations. Against this backdrop, industry conversation is shifting from whether AI can be applied in restaurants to where it can deliver measurable value in everyday operations.

Converge AI is built for that shift. Rather than adding another standalone tool to an already crowded technology stack, the platform brings specialized AI products into a shared context layer, allowing work and business knowledge created in one part of the business or organization to carry into the next.

For restaurant teams, that takes four forms:

• Framia Pro produces the full campaign asset for brand launches and limited-time offers, including short-form video, social content, in-store posters, ad creative, and menu visuals. Field and franchise teams can localize campaigns for individual markets while maintaining brand standards, reducing the time from idea to market.
• Enter Pro allows operators to build internal tools without engineering support. Operations directors and unit managers can turn working knowledge into workflows, connect siloed systems and surface data from across the business as usable insight rather than separate reports.
• Concat Pro functions as a growth layer across creator partnerships, paid media, and SEO, continuously learning from what performs for the brand and adjusting accordingly.
• Combos turns promotions, brand IP, and guest moments into lightweight branded games that operators can deploy without a game studio, extending campaigns into interactive experiences guests can play and share.

Converge AI is now working alongside restaurant leaders to evaluate how these workflows can be adapted to the needs of multi-unit organizations. These included localizing marketing for new market entries, analyzing performance across multiple locations, consolidating guest feedback from separate channels, onboarding new employees, and automating multilingual communications across front- and back-of-house teams.

These conversations reinforced a central challenge in restaurant technology adoption: operators are not short on tools, but they often lack the time, technical resources, and connected workflows to make those tools work together. Meaningful AI adoption therefore depends on understanding how restaurant businesses actually operate and translating that knowledge into repeatable processes that can scale across teams and locations.

"CREATE 2026 may have come to a close, but the work is only beginning," said Oliver Zhang, founder and CEO of Converge AI. "As AI moves from technological innovation to broad industry adoption, the competitive gap will no longer be defined by how many AI tools an organization uses, but by how deeply AI is integrated into its business processes, team collaboration, and day-to-day operations. Our focus is to make that transition practical—lowering barriers to adoption, improving operational efficiency, and helping businesses turn AI into sustained growth and long-term competitive advantage."

Converge AI will continue working with industry partners and growing businesses to move AI beyond isolated experiments and into repeatable workflows across teams and locations.

About Converge AI

Converge AI is an all-in-one AI platform that helps businesses turn ideas into execution. Its specialized AI products share context across teams, automating workflows and delivering business results without adding headcount. The product suite includes Enter Pro for building tools and internal workflows without code, Framia Pro for campaign and creative production, Concat Pro for growth intelligence, and Combos for branded interactive experiences. Products currently in development will also be added to the platform soon. Together they help lean teams and enterprises work faster, stay consistent across teams and locations, reduce operational friction, and turn business knowledge into measurable outcomes. Learn more at converge.ai.

Media contact:
Eric Zhang
ericz@converge.ai

 

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Converge AI Extends Its AI-Native Workspace to the Restaurant Industry

OSLO, Norway, July 23, 2026 /PRNewswire/ -- Public trust in health innovation may be less predictable than healthcare organizations assume, according to new research from DNV, the independent assurance and certification provider.

A global survey of 12,500 people across 17 countries found that mindset is a stronger indicator of trust than traditional demographic factors such as age, income or geography.

The findings, published in DNV's new report The Future of Health: Four mindsets shaping trust, innovation and care challenge conventional approaches to audience segmentation and identify four distinct trust mindsets that influence how people evaluate healthcare, innovation and the future of care.

With health ecosystems facing growing pressure from ageing populations, workforce shortages and rapidly advancing technologies, understanding what builds public confidence will become critical.

Contrary to popular belief, the report finds that trust cannot be explained through demographics alone. People with similar demographic profiles can hold very different attitudes towards innovation and the future of health. The report identified four distinct mindsets of people building trust in healthcare: Trusting Optimists, Human Connectors, Evidence Evaluators and Pragmatic Realists.  

While Trusting Optimists are inclined to embrace new technologies that promise better outcomes and access to care, Human Connectors judge innovation through the lens of personal relationships and compassionate care. Evidence Evaluators look for transparency, accountability and proof that innovations deliver on their promises. The largest group identified in the research was Pragmatic Realists, people who judge innovation less by how advanced it is and more by whether it improves access, affordability and healthcare outcomes.

What makes these mindsets particularly significant is that they cut across traditional demographic boundaries. While age, income, health status and location all influence attitudes towards healthcare, they do not fully explain how people build trust. The research found, people with similar demographic profiles often belong to different trust mindsets, while people from very different backgrounds frequently share similar views on innovation and the future of care.

The findings also challenge common assumptions about age and technology. While older people are often viewed as more resistant to innovation and younger generations as more naturally accepting, the research suggests attitudes are shaped less by age than by people's experience of healthcare.

Across all four mindsets, one finding stood out. Nearly two-thirds of respondents, expressed concern that healthcare could become less personal as technology adoption accelerates, highlighting a shared expectation that innovation should strengthen and not replace the human experience of care.

The research suggests that people do not embrace innovation simply because it is new. Rather, confidence grows when technology is developed responsibly, assessed rigorously and implemented with patient outcomes in mind.

"Healthcare has never been innovating faster. But innovation alone won't determine the future of healthcare, trust will. Many assume trust is determined by age, gender or social status. Our research shows it's far more nuanced than that. Demographics influence trust, but do not define it." said Geir Fuglerud, CEO - Life Sciences at DNV. "The four mindsets we identify show that people build confidence in different ways, yet they share one important expectation: Technology should strengthen healthcare, not replace human care." 

The report The Future of Health: Four mindsets shaping trust, innovation and care is available to download here.

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PUBLIC TRUST IN HEALTH INNOVATION IS SHAPED MORE BY MINDSET THAN DEMOGRAPHICS, DNV RESEARCH FINDS