Revenue-critical AI · Production-grade

Commercial AI that ships

End-to-end commercial AI products for enterprise — copilots, decision systems, multi-agent platforms, and revenue-critical features with SLAs, governance, and measurable ROI.

2–4 wkPilot ship
4–8 wkPlatform
SLAReady
ROITracked
What we build

Not demos. Products.

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.

01

Productized AI features

Copilots, assistants, and decision support embedded in your products.

02

Platform programs

Shared agent, RAG, and model infrastructure multiple teams can build on.

03

Revenue & ops AI

Systems tied to pipeline, claims, onboarding, support, or cost-to-serve metrics.

04

Governance by design

Access control, audit trails, evaluation, and human-in-the-loop for high-risk actions.

Capabilities

What we deliver

From strategy through launch and iteration — every layer of a commercial AI product, owned end-to-end.

Strategy

AI Product Strategy

Use-case prioritization, packaging, and success metrics before a single line of code.

  • ROI modeling & business case
  • Competitive positioning
  • Phased rollout roadmap
Architecture

Production Architecture

APIs, data contracts, model routing, fallbacks, and multi-tenant patterns built for scale.

Launch

Go-to-Market Enablement

Admin tooling, analytics, documentation, and launch support.

Economics

Cost & Latency Control

Caching, model tiers, batching, and budget guardrails.

Compliance

Compliance Ready

HIPAA, SOC 2, and enterprise security reviews baked into delivery.

Ops

Operate & Iterate

Monitoring, eval regression, and roadmap iteration after launch.

How we work

Pilot to production

A proven delivery rhythm — scoped for speed on pilots, structured for scale on platforms.

01

Discover & scope

Use case, data sources, integrations, compliance, and success metrics defined upfront.

02

Architect & build

Production architecture with eval harnesses, guardrails, and observability from day one.

03

Launch & measure

Ship with SLAs, admin tooling, and ROI tracking tied to your business metrics.

04

Operate & evolve

Monitor, iterate prompts and models, and expand capabilities on a shared platform.

Technology

The stack

Frontier and open-weights models, production platforms, and quality tooling — chosen for your constraints.

Layer 01

Models

OpenAI Claude Gemini Llama Mistral Bedrock
Layer 02

Platform

LangGraph RAG vLLM Kubernetes AWS/GCP/Azure
Layer 03

Quality

Eval harnesses Tracing Guardrails Human review
2–4Weeks to pilot
4–8Weeks to platform
15+Years experience
200+Projects shipped
01What counts as a commercial AI solution?

A commercial AI solution is a production system tied to a business outcome — revenue, cost, risk, or customer experience — with ownership, SLAs, and measurement.

02Do you build on open-weights or proprietary models?

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.

03How long to first production release?

Focused pilots often ship in 2–4 weeks. Broader commercial platforms typically take 4–8 weeks depending on integrations and compliance.

Next step

Ready to build commercial AI?

Tell us about your use case — we respond within 24 hours with a clear path from pilot to production.