Felix (felix.so), an AI workflow platform built for legal, finance, and insurance professionals, has raised $1.7m in pre-seed funding to expand its product capabilities and scale its growth.
The round was led by XYZ Venture Capital, with participation from angel investors including current and former leaders and founders at Amazon, Apple, Palantir, FlexPort, Yelp, and Midjourney.
Felix allows professionals in highly regulated industries to convert institutional knowledge into automated workflows that need only be built once.
Users describe their desired process in plain language, and the platform automatically deploys code to execute the workflow continuously, complete with built-in checkpoints, audit trails, and deterministic outputs. Unlike foundation models such as GPT or Claude, which produce probabilistic outputs that vary with each prompt, Felix converts multi-step workflows requiring judgement into scalable automations that produce the same output from the same input every time — a key requirement for industries where decisions carry legal, financial, or regulatory consequences.
The platform also limits where AI is used within each workflow, reducing cost and increasing reliability for high-volume operations by applying AI reasoning only at steps that require interpretation, with the remainder executed as structured code.
Felix is already deployed at major legal, finance, and insurance firms. Advocate, a New York-based risk management firm, used the platform to clear a backlog of more than 50,000 mortgage insurance policies in three weeks — a task estimated to have taken over 10 years to process manually.
UK-based insolvency claims firm Recourse Collective built a fraud detection engine using Felix to analyse creditor claims at scale, cross-referencing tens of thousands of claims against director networks to identify so-called “phoenixing” fraud. Within eight weeks, the system uncovered £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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