SeekrFlow honored for bringing explainable, defensible, and sovereign AI to the high-stakes decisions enterprises and government agencies need to make, verify, and defend

RESTON, Va., Oct. 6, 2026 /PRNewswire/ — Seekr, the leader in explainable and sovereign AI, today announced that SeekrFlow, its end-to-end platform for building, governing, and deploying trusted AI, has been named to Fast Company’s 2026 Next Big Things in Tech, an annual list recognizing breakthrough technologies with the potential to transform industries and shape the future. SeekrFlow was honored in the Established Excellence category for making AI explainable and defensible for enterprises and government agencies that need to deploy AI on their own data, in their own environment, and show the reasoning behind every decision.

Organizations are moving AI into highly sensitive business areas such as loan approvals, supply chains, critical infrastructure, and national security. Yet, most still can’t show which data drove an output or defend it to a regulator, auditor, or oversight body. As AI moves from experimentation into decisions with real-world consequences, that gap between generating an answer and being able to defend it is becoming increasingly important. Seekr is recognized by Fast Company for helping organizations close that critical gap. The SeekrFlow AI-Ready Data Engine turns raw enterprise data into high-quality datasets, and its verification tools trace data influence, score accuracy, and let teams contest and correct errors. Together, these capabilities provide organizations complete explainability, visibility, and control over how AI is built, evaluated, and deployed.

“We’re honored to be recognized by Fast Company alongside many other notable technologies shaping the future of AI,” said Rob Clark, President of Seekr. “Organizations and consumers are already asking AI for more than just answers. They need to know where that answer came from, how it was derived, and whether it can be relied upon. Regulation, guardrails, and hardware-level shutoffs all depend upon the explainable AI innovation Seekr has spent years developing.”

Fast Company’s Next Big Things in Tech recognizes innovative technologies developed by established companies, startups, and research teams that are making meaningful progress toward transforming the lives of consumers, businesses, and society. This year’s honorees span industries, with each innovation demonstrating the potential to create significant impact in the years ahead.

“The most exciting technology innovations are the ones that move beyond promise to demonstrate real potential for impact,” said Brendan Vaughan, editor-in-chief of Fast Company. “The companies and teams recognized on this year’s list are tackling ambitious problems with new ideas, products, and approaches that have the potential to fundamentally shape the years ahead.”

For more information on Seekr’s award-winning technology, please visit: www.seekr.com

About Seekr

Seekr is the leader in explainable, defensible AI built for critical decisions in environments that demand accuracy and accountability. Seekr’s technology and products help enterprises and government agencies develop and deploy domain-specific large language models (LLMs), vision language models (VLMs) that understand the physical world, edge-based systems and AI agents across any infrastructure, including sovereign deployments. Backed by robust verification and validation tools that surface the provenance, lineage, and intent behind every model decision, Seekr delivers AI that organizations can audit and trust across all modalities. Learn more at seekr.com.

About Fast Company

Fast Company is the only media brand fully dedicated to the vital intersection of business, innovation, and design, engaging the most influential leaders, companies, and thinkers on the future of business. Headquartered in New York City, Fast Company is published by Mansueto Ventures LLC, along with fellow business publication Inc. For more information, please visit fastcompany.com.

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SOURCE Seekr Technologies