Production is the only outcome
We do not run engagements that end at a demo. Every deliverable is something your operations team can run on Monday morning.
About
An AI SaaS and solution engineering company for the enterprise.
AI Engineers Labs helps enterprises deploy secure, production-ready AI assistants for knowledge, QA automation, and decision intelligence. Senior engineers build each solution to a production milestone — under SOC 2, HIPAA, and ISO-aligned engagements where required.
How we work
Four principles that shape every engagement.
Engineering posture, not agency posture
Architects are accountable for milestones, not hours. Weekly stakeholder reviews. Reviewable artefacts, not gantt theatre.
Honest opinions about your roadmap
We will tell you when an architecture is wrong, when a vendor is overselling, and when a project should not ship. The goal is your system in production — not the next change order.
Senior engineers only
Every solution is built by engineers with shipped production AI on their CV. No padding the team with bootcamp output.
Capability matrix
What the firm fields.
Indicative numbers across the firm. The exact team composition for any solution is chosen against the brief — not standing reserves.
Architects10Engagement leads, AI architecture authority
Senior engineers30+ML, data, backend, frontend
MLOps engineers8Eval pipelines, deployment, on-call
Research engineers5Fine-tuning, novel methods
What we ship
The stack, in detail.
Architectures we ship
- Production RAG (hybrid retrieval, reranking, eval gates)
- Long-running agentic systems (HITL, durable state)
- LLM integration platforms (provider routing, cost engineering)
- MLOps for AI features (continuous evals, traces, telemetry)
Stacks we run
- Cloud — AWS, Azure, GCP (architect-certified across all three)
- Models — OpenAI, Anthropic, Bedrock, Vertex, vLLM, TGI
- Vector — Qdrant, Postgres + pgvector, Pinecone, Weaviate
- Orchestration — LangGraph, OpenAI Assistants, Anthropic tool use, custom
- Observability — Langfuse, OTEL pipelines, Datadog, Honeycomb
- Languages — Python, TypeScript, Go (engagement-dependent)
Compliance frameworks
- SOC 2 Type II audits — shipped under
- HIPAA — engagements with active BAAs
- ISO 27001 — aligned delivery
- VPC-SC, region pinning, no-train guarantees, audit logging
Where we operate
A US company. A global engineering bench.
Clients contract with AI Engineers Labs LLC, a US-registered company — US governing law, USD invoicing, ACH payment. Delivery runs from our offshore engineering center in Pune, India, staffed against the solution with overlap into the client’s business hours. Engagement terms and pricing are shared on a short solution demo call.
Headquarters· United StatesAI Engineers Labs LLC
30 N Gould St, Ste N
Sheridan, Wyoming 82801
30 N Gould St, Ste N
Sheridan, Wyoming 82801
Registered with the Wyoming Secretary of State· contracting, invoicing, and US governing-law engagements.
Offshore delivery center· IndiaPune, Maharashtra
India
India
Senior engineering, MLOps, and QA delivery · working hours aligned to the client’s timezone.
Next step
See it working on your use case.
30 minutes. No slides. Bring a knowledge base, a QA backlog, or a decision your teams keep waiting on — and we'll show you how the solution would handle it, grounded in your context.