Fearn Raises $5.5 Million Seed to End the Two-Tier Patent System
Funding led by Kindred Ventures, with participation from a16z speedrun, Designer Fund, and Essence VC, will expand Fearn's AI-native patent platform built for a first-to-file world
Every patent system in the world is now first-to-file, and the priority filing date is what matters — not who invented first, but who filed first. This has produced a quiet two-tier system. Inventors with access to elite in-house IP teams can file in 48 hours, while everyone else waits weeks. Those weeks make the difference between saying yes to a speaking invitation and turning it down, between publishing and staying silent, between closing a deal and watching it slip. Those weeks are, very often, the difference between winning and losing.
"Patents are how inventors turn ideas into lasting value, but in a first-to-file system, the priority date is everything, and access to fast priority dates has been gated by cost, complexity, and institutional connections for far too long," said
Fearn's co-founders bring a rare combination of patent law experience and original technical research.
Fearn is not a wrapper on a general-purpose model. The company's architecture composes dozens of small models — some LLM-based, some built entirely from scratch — engineered to resist hallucination and to produce drafts with formally verified guarantees against the failure modes that matter most in patent prosecution, including written-description sufficiency under 35 U.S.C. § 112(a) and the figure-labeling requirements of 37 C.F.R. § 1.84(p)(5) and MPEP § 608.01(g). Several of Fearn's models are built on a deliberate inversion of standard technical practice: rather than training on large, noisy corpora, they are designed to extract maximum signal from small, hand-corrected, expert-labeled datasets — the regime that truly matches what patent prosecution requires.
"Our world is accelerating due to speedups in technology and science, due to human ingenuity and AI model advancements. Intellectual property is the record-of-truth for technology, the design, engineering, and science carta for the world's industries, and the law and economics code by which we operate as innovators and capital markets," said
"The massive wave of attention on our ambient robotics thesis and inaugural product, the Lume, meant we needed to move incredibly fast to protect our technology," said
Fearn makes zero external API calls to outside AI models. The company self-hosts every model in its stack, eliminating the indemnification and public-disclosure risks that have made enterprise IP teams wary of generative AI. Enterprise customers can choose customer-hosted VPC, single-tenant VPC, or multi-tenant VPC deployment; all customer data is held under AES-256 encryption, with SOC 2, ISO 27001, ISO 27701, and GDPR compliance.
Fearn is already trusted by engineers and scientists at companies including Unity, Dandelion Energy, Serova Bio, Capsule, Syncere, Sans Strings, Taya, and Cainex.
To learn more or start drafting for a flat
About Fearn
Fearn is the AI-native patent platform built for a first-to-file world. Founded in 2025 and headquartered in San Francisco, Fearn pairs purpose-built, hallucination-resistant models with automated labeled-figure generation to take inventions from disclosure to filing-ready draft in minutes, at a flat $2,000 per patent. Inventors take the finished draft to the counsel of their choice. Fearn is trusted by engineers and scientists at leading startups and public companies. Learn more at https://fearn.ai/.
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SOURCE Fearn
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