Most enterprises are stuck in
GenAI demo-land.
Hundreds of pilots, dozens of demos, very few products in production. The gap isn't model access; it's governance, integration, evaluation, and shipping discipline. The gap between 'cool demo' and 'live for 10,000 employees' is where most projects die.
Five categories of gen AI,
all production-grade.
Governed and grounded in your data from day one.
Ship, don't pilot.
We bias toward production. Our 4-phase approach is built to put a GenAI product in front of real users within 60 days.
Use Case Filtering
We score candidate use cases on impact, feasibility, and risk. Most teams skip this; it's the #1 reason pilots stall.
Build & Evaluate
Production-grade build with eval harness from day one. Every release scored on accuracy, safety, latency, cost.
Govern & Integrate
PII handling, IP filters, prompt-injection defenses, audit trails, role-based prompt access, observability.
Launch & Scale
Phased rollout (internal → pilot users → GA), real-user feedback loops, model swaps as needed.
What enterprise GenAI actually returns.
Drawn from our deployments and verified industry benchmarks.
Multi-model,
vendor-neutral.
We use what's best for the use case, not what's best for our margin.
