Analytics, reporting, migration, pipeline RCA, data workflows — any agent that needs governed access to your data. Built and handed over in 8 weeks.
The model is fine. The context is not. We compile your enterprise's meaning, access rules and join logic into governed infrastructure, then build the data agents that run on it.
A versioned, typed semantic graph. Multi-vector embeddings per concept. A compile-then-execute pipeline that turns intent into dialect-perfect SQL with the join path proven and the governance predicates already inside it. Every agent and workflow inherits governed data access by construction.
Forward-deployed engineers embedded in your team for a fixed-scope engagement. They stand up the infrastructure, build your first AI agents and workflows against real data, train your team, and hand over everything: agents, semantic graph, audit trail and runbooks.
Every agent we build compiles through the execution layer. Compile-time governance and a reproducible audit trail, by construction. Everything ends in your hands.
We build the governed data infrastructure and the agents that run on it — analytics, reporting, migration, pipeline RCA. Every agent compiles through the execution layer, so RBAC, ABAC and row and column predicates are enforced before the SQL runs.
You keep: the agents, the graph, the traces
A reporting agent pulls from three warehouses, a reconciliation agent cross-checks, and an alerting agent flags the variance — all in one governed workflow. Each step compiles through the execution layer and inherits the right governance scope. The audit trail chains end to end across every agent in the sequence.
You keep: the workflows and their runbooks
CDO-level sequencing for regulated enterprises: which business questions first, which datastores to wire, which agent types to deploy in which quarter, and what governance has to exist before any agent touches data. The roadmap that turns a pilot into an enterprise-wide data AI operating model.
You keep: a sequenced plan you can fund
Four steps, and the fourth is the one that matters. A deployment that needs us to stay is a deployment we got wrong.
Your datastores, your access model, your first three business questions. We scope the AI operating roadmap before we build anything.
The semantic graph, the governance layer and the first data agents, compiled against real data with your team watching. Fixed-scope pilot.
Agents in production on your cloud. Compile-time governance enforced on every query. Workflows running, drift detection watching.
Your team owns the agents, the semantic graph, the audit trail and the runbooks. The engineer leaves. Everything stays.
Unglamorous and specific, which is the point. No slideware. Real schema, real agents, real governance from the first week.
Real tables, real access model. Runs the first governed query against real data by the end of the week.
Compiled, dialect-perfect SQL you can read, with the join path proof attached.
RBAC, ABAC and row and column predicates injected into every agent query. Multi-vector embeddings tuned to your vocabulary. The first analytics and reporting agents running against real data.
Every agent answer traceable to the SQL that produced it and the rules in force when it ran.
Autonomous maintenance watching the graph. Your team trained on the agents, the governance model and the versioned semantic graph.
Audit trail live. Point-in-time reproducible from day one.
Agents, workflows, the versioned graph, the audit trail and the runbooks are yours. No retainer required to keep the lights on.
Optional: keep an engineer on retainer for the next set of agents, the next datastore or the next persona.
Colrows is deployed across pharma, retail and finance. The numbers below are from those deployments and from our first-party research.
We build data AI agents and the governed infrastructure they run on. We are not a general-purpose consultancy.
A product, plus the engineers who put it and your data AI agents into production. Colrows is a semantic execution layer that compiles enterprise intent into governed, deterministic SQL. Forward-deployed engineers build the governed infrastructure, build the data agents and workflows that run on it — analytics, reporting, migration, pipeline RCA — and hand everything over. Every engagement ends with the agents, the semantic graph, the audit trail and the runbooks in your hands, and the engineer leaving.
You do. The semantic graph is versioned and typed, and it lives in your deployment. Definitions, join path proofs, persona scopes and governance predicates are all readable and yours to change. Nothing about the layer depends on a Colrows engineer staying on.
No. Handover is a defined step, not an open-ended retainer. Autonomous maintenance and drift detection keep the graph current, and your team is trained to run it. Some customers keep an engineer on retainer for the next datastore or the next set of personas. That is optional.
Yes. The pilot is fixed in scope and creditable against the platform subscription if you go to production. Colrows meters the natural-language requests your people and applications submit, never tokens, seats or CPUs, so the production figure is one committed annual number. Details are on the pricing page.
Any agent that needs governed access to your data. Analytics agents that answer business questions, reporting agents that compile dashboards, data-migration agents that move data between systems, and pipeline-RCA agents that diagnose failures. Every agent compiles its data access through the execution layer, so it inherits compile-time governance, dialect-perfect SQL and a point-in-time reproducible audit trail by construction. We do not build agents that write their own SQL.
Colrows runs inside your own cloud environment, on AWS, Google Cloud or Microsoft Azure, or on-premise. The data never leaves your perimeter. The engineer works with your team, on your systems, under your access controls, and only the question and the answer cross the boundary.
Tell us the first three business questions you need data agents to answer and which datastores they live in. We will come back with a fixed-scope pilot.
