Felix: $1.7 Million Raised For AI Workflow Platform For Professional Services

By Amit Chowdhry • Today at 11:27 AM

Felix has raised $1.7 million in pre-seed funding to advance its hyperautomation platform designed for legal, finance, and insurance firms. The round was led by XYZ Venture Capital, with participation from angel investors including current and former leaders from major technology companies.

The Prague-based company is focused on enabling organizations to transform complex, knowledge-heavy workflows into automated systems that run continuously without constant human oversight. Its platform allows users to describe processes in plain language, after which Felix generates and deploys the necessary code to execute those workflows with built-in checkpoints, audit trails, and deterministic outputs.

Felix is already being used in high-stakes environments where consistency and traceability are critical. For example, a New York-based risk management firm used the platform to eliminate a backlog of more than 50,000 mortgage insurance policies in just three weeks, a task that would have taken over a decade manually. The system now runs continuously to prevent future backlogs.

Unlike traditional AI tools that rely on probabilistic outputs from large language models, Felix emphasizes deterministic automation. The platform ensures that identical inputs produce consistent outputs, a requirement for industries with legal, financial, or regulatory implications. It also limits where AI reasoning is applied within workflows, reducing costs and improving reliability for high-volume operations.

The company was founded by Tomas Scavnicky and Mato Vetrak, building on their prior experience developing legal workflow automation technology that was acquired by FileVine in 2025. They identified a broader opportunity to apply similar infrastructure across multiple professional services sectors, where institutional knowledge is often fragmented and difficult to scale.

Felix’s platform enables firms to codify internal processes into autonomous systems, effectively turning institutional knowledge into repeatable, scalable operations. It also provides full auditability, allowing organizations to track exactly how decisions are made within each workflow.

Early adopters have already demonstrated significant impact. A UK-based insolvency claims firm used Felix to build a fraud detection engine that analyzed creditor claims at scale, identifying £1.4 billion in recoverable assets within eight weeks by uncovering fraudulent patterns across large datasets.

The company plans to use the new funding to expand its product capabilities and support continued growth across regulated industries where automation, compliance, and scalability are essential.

KEY QUOTES:

“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.”

Tomas Scavnicky, Co-Founder and CEO of Felix

“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.”

Mato Vetrak, Co-Founder and CTO of Felix

“What drew us to Felix wasn’t just the technology , it was the insight and proven team behind it. Tomas and Mato recognized that the real bottleneck in professional services isn’t individual productivity, it’s institutional scalability. Every firm has processes that live in people’s heads, spread across dozens of systems, dependent on someone being available to prompt an AI tool. Felix replaces that dependency with infrastructure.”

Art Clarke, Partner at XYZ Venture Capital

“Felix gave us a way to do work that simply wasn’t possible before. Before we started working with Felix, we thought we might find millions in recoverable assets. But the scale that Felix gave us to automate big, thorny, repetitive tasks uncovered far more than we expected, making a massive difference for our business.”

Matthew Letts, Founder of Recourse Collective