Resect AI的2500万美元豪赌：在运行时通过审计层捕获LLM的幻觉

做的是什么生意

Resect AI builds an accountability layer for enterprise AI: tools that observe, detect, interpret, audit and modify LLM behavior at runtime to stop hallucinations before they reach users, backed by open-source fact-checking models.

启动资金：$25M from private-equity investors (backers unnamed), announced at stealth exit on 2026-09-03.

起因

Resect AI was established by a team of serial entrepreneurs including CEO Kevin Owens and chief AI officer Tim Walton, who concluded that AI has 'prematurely been put in a position of trust' and that disclaimers like 'use at your own risk' cannot satisfy governance. The team began by building models with controlled data and reinforcement training, then discovered the same techniques could modify existing open models — turning the goal from building a better model into building tools that work inside model architecture.

经过

Resect came out of stealth on 2026-09-03 with $25M from private-equity investors, earmarked for R&D, go-to-market and hiring across the greater Seattle and Portland markets. It released two open models on HuggingFace — the 0.6B-parameter Veritas fact checker and an 8B model, both Qwen3-based and non-thinking — with Veritas averaging 72.3% on LLM-AggreFact, 7.4 points above Qwen3. The company says these internal-visibility tools will form the NeuroWave Product Suite, an enterprise audit product it describes as 'a polygraph for neural networks'.

可借鉴之处

基于信任销售的技术在用户无法看到的失败上破产：Resect使无形的幻觉变得可见且可纠正，押注可观测性才是企业真正愿意购买的。