Felix (felix.so), an AI workflow platform that enables legal, finance, and insurance firms to run complex operations without constant human oversight, has closed a $1.7m pre-seed funding round.
XYZ Venture Capital led the investment, with angel participation from current and former leaders and founders at Amazon, Apple, Palantir, FlexPort, Yelp, and Midjourney. The proceeds will be used to expand the platform’s capabilities and accelerate growth.
The platform works by allowing professionals to describe their desired process in plain language, after which Felix automatically deploys code to execute that workflow on a continuous basis. Each automation comes with built-in checkpoints, audit trails, and deterministic outputs, meaning the same input will always produce the same result.
This distinguishes Felix from foundation models such as GPT or Claude, which generate probabilistic outputs that can differ with every prompt. For industries where decisions carry legal, financial, or regulatory weight, that consistency is critical. Felix further manages costs and reliability by applying AI reasoning only at the steps within a workflow that genuinely require interpretation, running the remainder as structured code.
The platform is already in use at a number of major firms. Advocate, a New York-based risk management company, deployed Felix to clear a backlog of more than 50,000 mortgage insurance policies in three weeks — work that would otherwise have taken more than a decade to complete manually.
Separately, Recourse Collective, a UK-based insolvency claims firm, used Felix to build a fraud detection engine capable of analysing creditor claims at scale. By cross-referencing tens of thousands of claims against director networks, the system surfaced instances of so-called “phoenixing” fraud — where companies dissolve and reincorporate to avoid debt. Within eight weeks, the tool had identified £1.4bn in recoverable assets.
Felix co-founder and CEO Tomas Scavnicky said, “Every advance in AI is increasing individual productivity, but these gains are not being realized by institutions. We need to build the assembly line for knowledge work —one that requires no technical experience and enables institutions to retain tribal knowledge that may be spread across many different systems and databases.”
Felix co-founder and CTO Mato Vetrak said, “Most AI tools help you do the same work faster. We’re building the kind of safe, scalable and auditable infrastructure that high-stakes professional services can trust to codify who has the authority to, and how to make judgements about, different use-cases, such as processing mortgage applications.”
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