AI Implementation
AI implementation services for mid-market companies.
We build production AI systems that survive past the demo. Multi-agent orchestration, RAG, LLM integration — designed to handle real load, real errors, and real users.
Most AI POCs never reach production. Ours do.
AI implementation is more than wiring an OpenAI API. It's architecture, evaluation, observability, error handling, cost control, and UX that makes the system useful. We build the complete system, not the demo. If you have a stuck POC, an AI initiative without senior leadership, or a roadmap with no engineering muscle behind it — that's where we work.
What you get
Multi-agent orchestration
Agents that hand off, retry, and stay within budget. Built on frameworks we've shipped to production, with the eval suite to prove they work.
RAG with vector databases
Retrieval that returns the right chunks, not just any chunks. Re-ranking, query rewriting, and the evaluation harness to know it's actually working.
LLM integration with guardrails
Structured outputs, prompt versioning, fallback logic, rate limit handling, and cost monitoring. The infrastructure around the model, not just the model call.
Production observability
Tracing, evaluation, and incident response built in. You'll know when something drifts before your users do.
HIPAA-aware architecture
We've worked with sensitive data. PHI-safe patterns, BAA-friendly vendor choices, and audit-ready logs when the engagement requires it.
UX that ships
AI features people actually use. Not chat windows nobody opens — workflows where the model fits naturally into the work.
Best for
- →Mid-market companies with stuck POCs that need to reach production.
- →Teams without senior AI engineering leadership but with budget to ship right.
- →Founders who need a complete AI system, not a model wrapper.
- →Companies in regulated industries (healthcare, finance, government) needing compliance-aware AI.
Pricing
3–4 month engagements
Fixed-scope or T&M depending on uncertainty. Includes architecture, build, eval suite, and deployment. We scope tightly so you know what you're committing to.
How we work
Audit & scope
We review your current state — code, data, vendor contracts — and define a tight scope with measurable outcomes. Two weeks, fixed price.
Build & evaluate
Architecture, code, evaluation suite. We ship to staging early and iterate against real data, not synthetic demos.
Ship & hand off
Production deployment, runbooks, and team handoff. Your engineers can run and extend the system without us.
Frequently asked
Do you work with our existing engineering team?
Yes. Most of our engagements involve embedding with internal teams. We bring senior AI engineering judgment and execution; your team brings domain knowledge and continuity.
What if our POC is built on the wrong foundation?
That's the most common situation. We start with an honest audit — sometimes the right answer is to rebuild, sometimes it's to extend, sometimes it's to delete. We'll tell you what we'd actually do, not what's most lucrative for us.
Can you work under HIPAA or government compliance requirements?
Yes. We've shipped to public-school deployments and healthcare-adjacent workflows. We design for compliance from the start, not as a retrofit.
Are you US-based?
Our team is based in NYC and Puerto Rico — both US jurisdictions. No offshoring without disclosure, no surprise contractors. Same time zones as your team.