A repeatable engine for turning an AI use case into a live system — fast, because the team owning it never leaves your side.
Each PRISM cycle takes one scoped use case from pilot to production. Complex programs run as a sequence of cycles — each one shipping something real.
The pod joins your team, maps your data and systems, and pins down the one use case where AI earns its keep first. No months-long discovery phase — we sharpen the scope with you in the first three days.
Model selection across frontier and open-weight options, with distillation and quantisation to hit your latency, cost, and deployment constraints. We decide what kind of intelligence the problem actually needs — right-sized intelligence beats brute force.
Multi-agent, multimodal workflows assembled through rapid application development with multiple parallel subagents. MCP-native, so the system plugs into your real tools and data. Agents that can read documents, answer calls, and look at images — working together.
Evals, guardrails, security, and observability — the work that turns a convincing demo into something compliance and security will approve. AI-augmented code review, automated security scanning, and the hardening that makes it production-grade.
Live with real users, deployed on your cloud, instrumented and monitored. Then the next workflow, legacy API-to-MCP conversion, and AI transformation across the enterprise. Production is the only finish line — this is where the system starts earning its keep.
The six-week clock is for a scoped first use case. Complex programs run as a sequence of PRISM cycles — each one ships something real. Speed comes from focus: we prove the model on one workflow before expanding, and momentum comes from shipping live systems, not from a broad roadmap that never lands.
Tell us the workflow you want AI to own. In a 30-minute demo we'll show you the PRISM framework against a use case from your world and map your fastest path to production.
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