73%
reduction in document review time
Tier-1 bank · corporate banking RAG with citation gating
Enterprise AI engineering, shipped
Senior AI engineers.
Production systems. Shipped.
The firm enterprises call when the AI roadmap stalled six months ago and the board is asking questions. We ship to production — RAG, agentic, LLM — under a managed-pod engagement.
30 minutes · No slides · Global delivery
USD billing · ACH-ready · No US withholding
Sectors we ship into
- BFSI
- Government
- Energy
- Healthcare
- Telco
What we ship
Six engagement shapes. One bar: production.
RAG Systems
Production retrieval with proper chunking, hybrid search, rerankers, and evaluation harnesses. If it doesn't cite sources and pass eval gates, it isn't shipping.
Agentic AI
Long-running agents with tool use, durable state, human-in-the-loop, and observable failure modes. Built to be debuggable — not demoable.
LLM Integration
Wiring frontier models into systems people already use. Auth, streaming, cost controls, eval gates, fallback routing across OpenAI, Anthropic, and open-weights.
AI Architecture Advisory
A second opinion on a stalled roadmap. Vendor bake-offs. Reference architectures. Written deliverables your engineering team can actually ship from.
Managed AI Pods
A senior engineering pod — architect, ML engineers, data engineer, MLOps — fully staffed in two weeks. We run delivery. You ship product.
AI Cost Optimization
30–80% reduction in LLM operating costs. Model routing, prompt and context discipline, caching, retrieval tuning — eval-gated and provider-agnostic. For systems already in production.
Outcomes, not slideware
What our pods have shipped.
12 weeks
to production for an agentic claims-triage system
Top-10 insurer · including SOC 2 review
$4.2M
saved annually replacing a stalled 18-month vendor build
Global financial services · 9-week managed-pod engagement
Metrics anonymised under NDA. Detailed case studies available on request and in the playbook.
Why teams call us
Engineering posture, not agency posture.
Senior engineers, not juniors with prompts
Every pod is led by engineers with shipped production AI systems on their CV. Azure, AWS, GCP certified. Ex-Big Tech and ex-Big 4. No padding the team with bootcamp output.
We ship under contract, against milestones
Engagements are scoped to a production milestone, not a vague statement of work. Weekly delivery cadence. Every artefact reviewable.
Honest opinions on roadmaps
We will tell you when the architecture is wrong, when the vendor is overselling, and when the project should not ship. The goal is your system in production — not the next change order.
Next step
Talk to an engineer, not a salesperson.
30 minutes. No slides. Bring an architecture, a stalled roadmap, or a vendor proposal you want a second opinion on. We'll tell you what we'd do.