A fixed-price, fixed-timeline engagement that takes you from agent concept to a production deployment — with the data foundation, guardrails, and observability it needs to survive past the pilot.
Use case mapping, data audit, architecture blueprint
Semantic layer, data contracts, tool integrations
Multi-agent pipeline, guardrails, eval harness
Production deploy, monitoring, team handover
Pick the pattern closest to your use case and we'll adapt our accelerator. No blank-slate builds, no six-month discovery phases.
Your team asks questions in English. The agent translates to governed SQL, runs it against your semantic layer, and returns answers with lineage. No more ticket queues to the data team.
Policies, contracts, research, support tickets. The agent reads, reasons, cites sources, and takes action — drafts responses, updates systems, escalates when unsure.
Monitors pipelines, triages anomalies, reconciles records across systems, writes back to your warehouse. The unsexy agent that saves your team 20 hours a week.
Agents are the top of our stack. Engage at any layer.
We understand the context, governance, and architecture underneath data, so your agents reason correctly, your models perform reliably, and AI gives you great ROI.
Not everything needs to be a 6-month engagement. Our Data Launchpad packs deliver specific outcomes in weeks, not quarters.
Real workloads. Real production. Real numbers.
Thoughts on data architecture, agentic AI, and the future of enterprise intelligence.