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.

Mt. Hood, Oregon — headquarters of Resect Research Labs

Headquartered Near Mt. Hood, Oregon.

Where Curiosity Ignites Discovery and Trust Powers the Future of AI.

At Resect™ Research Labs, we bring together inquisitive minds driven to ask bold questions, challenge assumptions, and create technology that moves science forward. Our mission is to expand the frontiers of discovery by transforming cutting edge research into meaningful real world impact.

We believe the future of AI depends on making trust measurable, scalable, and dependable.

Our research focuses on reducing hallucinations, improving factual consistency, and developing systems that allow enterprises to adopt AI with confidence rather than caution. Because until validating AI output becomes fast, affordable, and reliable, widespread enterprise successful adoption remains limited.

Resect – The Veritas Collection

The Benchmark Results

The Resect™ Veritas Collection is built on the Qwen3 ecosystem.

Veritas-0.6B-Fact-Checker-Non-Thinking-1.0
Qwen3-0.6B (non-thinking)
Avg. Score7.37%
72.3%
64.93%
CNN7.91%
65.84%
57.93%
XSum0.04%
66.75%
66.71%
MediaS11.32%
68.45%
57.13%
MeetB10.87%
73.47%
62.6%
WiCE6.20%
73.43%
67.23%
REVEAL-3.67%
83.32%
86.99%
Claim Verify12.04%
71.89%
59.85%
Fact Check0.82%
73.45%
72.63%
Expert QA2.22%
58.66%
56.44%
LFQA12.39%
82.57%
70.18%
RAG Truth20.93%
77.49%
56.56%

The performance of this model is evaluated on LLM-AggreFact (unseen by this model during training), the benchmark is an aggregation of 11 human annotated datasets on fact-checking and grounding.

The Resect™ Veritas Collection

Built on the Qwen3 ecosystem.

Updated: Thursday, May 21st 20260.6B
Veritas-0.6B-fact-checker-non-thinking-1.0

Built on the Qwen3 architecture, we specialized, fine tuned, and optimized this model for fact-checking and factual consistency verification.

transformersenglishfact-checking
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