SERVICES
AI work, shipped by a team that joins yours.
Four kinds of engineering work, one way of delivering it: inside your team, on your stack, measured by what reaches production.
Embedded AI engineering teams
One engineer or a full pod that joins your team, your repo and your sprint rhythm, while you keep hiring.
Typical team: 1 to 6 engineers
Learn more →AI agents & voice
Voice and workflow agents that take real calls and real tasks, with turn-taking, escalation rules and a human in the loop.
Typical team: AI engineer, back-end, evaluation engineer, QA
Learn more →Document AI & data pipelines
Extraction pipelines that turn inbound documents into validated, analysis-ready records, measured against an evaluation set.
Typical team: data / AI engineer, 2 back-end, QA
Learn more →Platform & integration engineering
Event-driven services, integration layers and the cloud infrastructure that keep AI features running under real load.
Typical team: solution architect, 2 back-end, DevOps, QA
Learn more →