Strattum is the context infrastructure for enterprise AI. We build the layer that connects an organization’s data, knowledge, and decisions to the agents it puts into production — governed, auditable, and inside the customer’s own cloud.
The next decade of enterprise AI is not about smarter models. It is about more reliable context.
What determines whether an agent delivers real value is what it knows — about the customer, the contract, the ticket, the previous decision. That knowledge already exists in the company, but it is scattered across dozens of systems, formats, and silos.
Strattum unifies that structure, that knowledge, and those actions into a single platform — inside your cloud, with every access governed. Connected like a data pipeline. Built for agents.
The bottleneck is not the model. It is the context layer.
Strattum brings together founders who scaled data platforms in production and ran critical infrastructure in demanding environments — fintechs, large digital platforms, and enterprise software engineering. It is the same team that helped scale Neoway and co-founded Caf, now focused on the context layer.
In every AI project, the bottleneck was the same: not the model, but the context. Capable teams spent months connecting and cleaning data before delivering any value — and most pilots died before reaching production. We built Strattum to solve this at the right layer: infrastructure, not consulting.
of GenAI pilots never reach production.
MIT Sloan Management Review, 2025of the time in AI projects is spent preparing and cleaning data.
McKinsey Global InstituteDatabases gave applications a place to store state. Cloud platforms brought elastic scale. Data warehouses unified enterprise analytics. Each layer did not replace the previous one — it built on top of it.
Enterprise AI demands the next foundation: context. Strattum does not replace your data warehouse, your ERP, or your cloud — it runs on top of them, turning what your company already knows into context your agents can use safely.
Data sovereignty is not an optional feature — it is the foundation of the architecture. The entire stack runs inside the customer’s cloud (BYOC), and Strattum never accesses production data.
Built on open market formats and protocols, with no proprietary technology in the way. Use the AI model you prefer and switch vendors without rewriting the integration.
Every customer works with a dedicated Forward Deployed Engineer. Ontology modeling, custom connectors, and the first Skills are built together with the customer’s team — collaborative deployment, not one-way delivery.
LGPD by design, SOC 2 in progress, and ISO 27001 on the roadmap. An architecture conceived for fintechs, healthtechs, and cooperatives — regulated sectors, where security and auditability are a requirement, not a differentiator.
A senior, multidisciplinary team of engineering and customer relationships, responsible for the platform and for every deployment.
We’re hiring senior engineers and FDEs. See open roles →
In May 2026 we closed a US$ 3.2M Seed round co-led by OneVC and Maya Capital, with participation from Norte Ventures.
We’re hiring senior engineers, FDEs, and founding designers. See open roles.