Expert data for frontier AI
Práxis turns the judgment of verified doctors, lawyers, accountants and financial analysts into training data, RL environments and evaluations for frontier models. Every trajectory shows not just the answer, but the decisions and the alternatives an expert rejected on the way.
Built by the team that trained 10,000+ professionals to work with AI.
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professionals in our network
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launch domains: law, healthcare, tax and accounting, finance
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credential verified experts (OAB, CRM, CRC, CREA)
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enterprise AI programs live through Forward AI
SP · DE
Founded in São Paulo, incorporated in Delaware
Frontier models have read almost everything humans have published. What they have not seen is how an expert actually works: the tax specialist weighing three defensible positions, the physician ruling out a diagnosis in the second minute, the credit analyst deciding what the numbers do not say.
Synthetic data cannot invent knowledge no one wrote down. Generic annotation captures labels, not reasoning. Agents trained this way answer confidently and fail the moment a task requires judgment.
That gap is exactly what Práxis produces.
What we deliver
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Complete records of specialists solving hard professional tasks: what they read, what they discarded, why they chose a path, and the final deliverable. Structured for SFT and preference training, with reasoning made explicit at every decision point.
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Interactive professional tasks with verifiable outcomes. Your agent files the tax position, drafts the motion, adjudicates the claim, and gets scored by rubrics written by senior experts. Difficulty calibrated so frontier models fail often enough to learn.
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Domain benchmarks built and graded by credentialed practitioners, designed against contamination and refreshed continuously. Know exactly where your model stops behaving like a professional.
Live sample
Pick a case, move through each step, and read what the expert did at every decision point.
action
STEP 01
read: art. 155 CTN
Why Brazil
Brazil is not a low cost annotation market. It is a stress test.
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Federal, state and municipal layers, thousands of rules, constant change. If an agent can reason through Brazilian tax, it can reason through anyone's.
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PIX moves billions of instant payments a month and Open Finance connects the whole banking system. Our experts work inside financial rails the US and Europe are still building.
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Physicians operating at continental scale, under resource constraints, across every specialty. Clinical reasoning at a volume and variety few countries can match.
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Tens of millions of active cases, a codified civil law system and a bar exam tougher than most. Legal reasoning data with depth, not just breadth.
Hard environments produce robust agents. That is why we start here.
How it works
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We work with your research team to specify the capability, the domain and the difficulty band. You approve the task design before any expert touches it.
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Verified practitioners solve synthetic but realistic tasks inside the Práxis platform, which captures every action and asks them to narrate each decision. No client data, no third party information.
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The top tier of our network audits every trajectory against rubrics they wrote. Disagreement is measured, not assumed away. Low scoring work never ships.
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You receive structured data in your format, plus a report showing how the data moved a reference model on the agreed benchmark. We prove value before we invoice for scale.
Quality and compliance
Práxis was founded by Alexandre Messina, founder and CEO of Forward AI, the Brazilian firm that has trained more than 10,000 professionals in AI and works with enterprise teams at Electrolux, GM, BTG Pactual, Eurofarma, Tokio Marine and Gupy. Forward AI is Lovable's Enterprise Partner in Brazil.
"The best professionals in Brazil have spent decades building judgment that never made it into any dataset. Práxis exists to encode it, verify it, and put it to work in the models the world will run on."
Thirty minutes with our data team. Bring a capability gap; leave with a scoped pilot proposal.