AI capability + enterprise context
BothContext AI helps teams ship production-grade agentic systems—and gives those agents the governed, real-time business context they need across retail and manufacturing.
A 12-week live cohort where every module moves a working capstone toward production.
Resolve entities, policies, events, and documents across operational systems—then serve trusted context with provenance.
AI programs stall for two recurring reasons: teams cannot move prototypes into production, and agents cannot reach dependable business context. BothContext tackles both.
Learn by building a production-ready agentic system—with architecture, evaluation, safety, observability, and deployment included.
Connect fragmented enterprise data into a governed semantic layer built for retrieval, reasoning, and action across your AI portfolio.
02 / The shared principle
People need the engineering context to design, evaluate, and operate agentic systems. Agents need enterprise context to understand entities, policies, history, and permissions. Sustainable AI appears when both are present.
Why we built BothContext →Every engagement starts with a real outcome, works backward to the necessary context, and ends with evidence your team can inspect.
Capstones and pilots run against real workflows, not isolated demos.
Every response can carry source, freshness, and decision provenance.
One governed layer supports many agents, channels, and use cases.
Your engineers leave able to extend, evaluate, and operate what they ship.