Artificial intelligence startup Resect AI has launched out of stealth with $25 million in seed funding from private equity investors to commercialize its open source, in-stream technology designed to prevent enterprise large language model (LLM) hallucinations in real time.
Resect AI (Resect™ Artificial Intelligence) emerged from stealth with $25 million in funding from private equity investors. This is the company’s first disclosed funding round and total capital raised to date. The capital supports research and development, go to market expansion, and talent acquisition focused on the greater Seattle and Portland markets, with a target of growing headcount from roughly 30 to 50 by the end of 2026.
What is Resect AI?
Resect AI positions itself as the builder of an “accountability layer” for artificial intelligence. Its core focus is detecting, interpreting, auditing, and modifying the internal behavior of large language models (LLMs) in real time to prevent hallucinations before they occur, rather than relying on post generation checks. The company describes its patented approach as operating “in-stream,” observing model internals to identify when and how failures happen and intervening surgically.
Key elements of the offering include:
- A forthcoming open source technology (with a GitHub presence) for looking inside LLMs.
- An enterprise product suite covering observability, interpretability, governance, audit logs, and behavioral modification.
- Integration points such as vLLM for inference endpoints.
- Capabilities aimed at agentic systems to defend against rogue behaviors.
The company began by developing its own models and reinforcement training methods to improve factuality, then extended techniques to major open source models (including DeepSeek, Qwen, and Llama). This evolved into broader tools for opening the “black box” of neural networks, addressing why models produce specific answers, become overconfident when wrong, or hallucinate.
Target industries emphasize sectors where factual accuracy and compliance are critical: publishing, finance, healthcare, research, and education. The stated goal is to reduce financial, regulatory, and reputational risks that currently limit enterprise production deployment of AI.
Who are Resect AI’s leaders?
Resect AI was founded by a team of serial entrepreneurs with backgrounds in AI and data science. Core co-founders are:
- Kevin Owens: Co-founder, CEO, and Chairman.
- Tim Walton: Co-founder and Chief Artificial Intelligence Officer.
- Tyler Gerber: Co-founder and Chief Operating Officer.
- Tommy Lofgren: Co-founder and Chief Product and Marketing Officer.
Additional executives listed include roles in compliance, responsible AI, growth/open source community, sales/partnerships, implementation/customer success, and finance.
Headquarters are in Washougal, Washington (a small town of roughly 18,000 residents along the Columbia River, across from the Portland area and about 175 miles south of Seattle). The company maintains a small Main Street office there with co-founders and a handful of staff, while the broader ~30-person team is distributed across the Seattle area, California, New York, and Texas. Leadership has highlighted the local talent pool (including PhDs from the Seattle and Portland regions), community feel, and connections to Northwest capital markets. A Seattle-area office is planned for engineering and as a business hub. The company is actively hiring engineering and research roles in the greater Seattle and Portland markets.
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The announcement frames AI hallucinations as a major economic and compliance problem, citing tens of billions in global costs that are expected to grow with wider adoption. Enterprises remain hesitant to move AI into production and customer facing environments due to inaccuracy, unpredictability, and evolving regulatory demands for transparency, safety, and auditability. Resect AI argues that traditional external monitoring is insufficient and that true progress requires internal observability and the ability to modify model behavior.
By combining open source tools with an enterprise suite, the company aims to serve both the research community and regulated industries. It positions itself as infrastructure for AI governance and trust, potentially becoming a foundational layer rather than another application level monitoring tool.
Funds are allocated to:
- Accelerating R&D on interpretability, detection, and modification technologies.
- Expanding commercial and go to market activities.
- Local hiring to reach ~50 employees by year end 2026.
The launch simultaneously announces the company, the funding, the technology direction, open source availability, and geographic footprint. Specific investor names, valuation, and detailed terms beyond “private equity investors” have not been disclosed in public announcements. No prior funding rounds are reported.
The $25 million raise marks Resect AI’s formal entry into the AI reliability and governance space with a differentiated emphasis on real time internal model intervention, dual open source/enterprise strategy, and a Pacific Northwest base outside the typical major tech hubs.
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