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The bottleneck in AI is not the model. It is putting it to work.

CatechLabs puts AI inside the operations of real-economy companies across Brazil and LATAM, with a focus on legal and finance. We work in the Forward Deployed model: our engineers stay in the client's process until the result is up and running, with governance, integration, and auditability.

Why now

The model became a commodity. Getting it into the operation became the product.

Capability already exists in open and proprietary models. Value moved to whoever can put that capability inside a real operation, with the client's own data, integration with the systems that already exist, and an audit trail for every step. It is the playbook Palantir built and that Cursor, Anthropic, and OpenAI now run at scale. CatechLabs brings that playbook to legal and finance teams across Brazil and LATAM.

Where we enter

Real economy, expensive pain, expansion from the inside.

Industry, services, retail, agribusiness, infrastructure, energy. Companies where legal closes dozens of contracts a week and finance reconciles thousands of movements a month. It is not the market generic foreign SaaS chases, but it is where the revenue lives. We start with one critical flow, become part of the process, and expand into other areas of the same account.

What we deliver

One service, one SaaS, one platform.

Catech Forward is the embedded engineering that ships a use case in short cycles, in the Forward Deployed model. Catech Solon is the AI SaaS for corporate legal. Both run on the Catech Platform and the agents that power them. Same technical foundation, two revenue paths.

Why it is defensible

The deeper it sits in the process, the more expensive it is to switch.

The defense is not in the model. It is in the combination of embedded rollout, governance, integration with the client's real systems, and the data that only shows up once we are inside. Each project feeds the platform with learning no outsider can replicate and raises switching costs for whoever is already in.

Revenue model

B2B enterprise, land and expand.

Project entry turns into recurring revenue as the platform takes on more of the operation's flows. The mix of license, project, and expansion depends on the contract. Metrics, current ARR, and commercial details live in the data room.

Who is building it

Founders

Neilton Rocha, CTO and CDO, and Guilherme Dantas, COO. Years of operation in financial infrastructure, critical systems, and applied AI engineering. The technical team comes from environments where mistakes cost money. Full profiles on the About page.

Where we are

In a building phase, with first products live.

B2B partnerships in Brazil, first products running inside the CatechLabs group, and an active pipeline in legal and finance. Cap table, contracts, and unpublished indicators live in the data room.