Productized AI features
Copilots, assistants, and decision support embedded in your products.
Revenue-critical AI · Production-grade
End-to-end commercial AI products for enterprise — copilots, decision systems, multi-agent platforms, and revenue-critical features with SLAs, governance, and measurable ROI.
Commercial AI solutions are production systems designed to create measurable business value — not slideware. We design, build, and operate AI products that integrate with your workflows, meet compliance requirements, and ship with observability, cost controls, and clear ownership.
Copilots, assistants, and decision support embedded in your products.
Shared agent, RAG, and model infrastructure multiple teams can build on.
Systems tied to pipeline, claims, onboarding, support, or cost-to-serve metrics.
Access control, audit trails, evaluation, and human-in-the-loop for high-risk actions.
From strategy through launch and iteration — every layer of a commercial AI product, owned end-to-end.
Use-case prioritization, packaging, and success metrics before a single line of code.
APIs, data contracts, model routing, fallbacks, and multi-tenant patterns built for scale.
Admin tooling, analytics, documentation, and launch support.
Caching, model tiers, batching, and budget guardrails.
HIPAA, SOC 2, and enterprise security reviews baked into delivery.
Monitoring, eval regression, and roadmap iteration after launch.
A proven delivery rhythm — scoped for speed on pilots, structured for scale on platforms.
Use case, data sources, integrations, compliance, and success metrics defined upfront.
Production architecture with eval harnesses, guardrails, and observability from day one.
Ship with SLAs, admin tooling, and ROI tracking tied to your business metrics.
Monitor, iterate prompts and models, and expand capabilities on a shared platform.
Frontier and open-weights models, production platforms, and quality tooling — chosen for your constraints.
A commercial AI solution is a production system tied to a business outcome — revenue, cost, risk, or customer experience — with ownership, SLAs, and measurement.
Both. We recommend frontier APIs when speed-to-value wins, and open-weights private deployments when data control, cost at scale, or latency require it.
Focused pilots often ship in 2–4 weeks. Broader commercial platforms typically take 4–8 weeks depending on integrations and compliance.
Tell us about your use case — we respond within 24 hours with a clear path from pilot to production.