Resect Research Labs focuses on improving factual grounding as well as detecting, reducing, and mitigating hallucinations in AI models through proprietary reinforcement learning and novel fine-tuning techniques.
Resect Artificial Intelligence focuses on improving factual grounding as well as detecting, reducing, and mitigating hallucinations in AI models through proprietary reinforcement learning and novel fine-tuning techniques.
Seattle-based Resect AI announces $25 million in early funding to build an accountability layer that detects and reduces hallucinations in enterprise AI models at runtime. The company is developing open-source tools to observe and redirect model behavior, which will underpin its planned NeuroWave enterprise audit suite. Resect currently offers two Qwen3-based models; its 600-million-parameter Veritas fact checker scores 72.3% on LLM-AggreFact, 7.4% above Qwen3.
Resect AI emerges from stealth with $25 million in funding from private equity investors. The company says its technology observes and modifies large language model internal behavior to reduce hallucinated output for enterprise customers.
Resect AI launches out of stealth with $25 million in funding, positioning its offering around auditing and correcting large language model behavior for regulated enterprise buyers.
