Enterprise AI has a credibility problem, and Resect AI is betting that transparency, not warning labels, is the fix. The Seattle-area startup has collected $25M to build technology that lets companies inspect what language models are actually doing, rather than trusting them on faith.
Resect’s platform watches models at runtime and can detect, interpret, audit and even modify their behavior, packaged as an open-source offering for enterprise products. The approach goes beyond the guardrail tools that wrap around models today, aiming for visibility into the internal reasoning that produces confident but fabricated answers.
The company, headquartered in a small Washington town south of Seattle, announced the round on September 3. Chief Executive Kevin Owens argues that AI has been granted trust prematurely and that “use at your own risk” disclaimers are no substitute for governance. Chief AI Officer Tim Walton says the team has spent years studying how models choose their answers. Resect first trained its own high-factuality models, using them as a testbed for the inspection layer it now sells.
