The Core923 AI Lab builds and integrates production-grade AI systems for regulated enterprise. Generative, agentic, predictive, embedded — designed with the eval, observability, and governance that turn a clever demo into a system your team can actually run on a Tuesday.
Most AI work falls into one of these. Most engagements draw on three or four. We tell you which on the first call.
Production agents that reason, plan, and act — with tool use, memory, and guardrails. Single-agent assistants, multi-agent orchestrations, autonomous workflows. Built for safety and audit, not just clever demos.
Retrieval-augmented generation with grounded sources, prompt engineering at scale, fine-tuning where it earns its keep. Open-weight (Llama, Mistral) and closed (GPT, Claude, Gemini). Hallucination defenses that actually work.
The platform layer beneath the models. Feature stores, training orchestration, model registries, deployment with shadow + canary, drift detection, eval harnesses. The boring infrastructure that lets data scientists ship.
Adding AI to existing enterprise systems — not building greenfield AI products. Salesforce + Epic + SAP integrations with AI in the seam. API-first patterns, event-driven AI, AI-as-a-service for internal teams.
The discipline that lets regulated industries deploy AI. Eval harnesses with statistical rigor, hallucination detection, bias monitoring, model cards, audit trails, kill switches. Compliance reviews don't surprise you.
Healthcare clinical AI, financial fraud and risk, telecom NOC intelligence. Not generic chatbots — domain models tuned for regulatory environments and the specific knowledge work done in your industry.
What we ship to production — chosen for fit, not vendor pressure.
Not a PoC factory. We build to production from week one.
Use case clarity. Data audit. Regulatory perimeter. Cost / accuracy / risk feasibility report.
End-to-end production-shape build on real data. Eval harness from day one. Real user feedback loop.
Pipelines, monitoring, model registry, deployment infra. Shadow before live. Cost ceilings at the gateway.
Eval suite formalized. Bias / hallucination monitoring. Audit trails. Kill switches. Compliance review.
30/60/90-day operate-with. Drift dashboards. Retraining cadence. Your team owns it by day 91.
Real numbers from recent engagements. Names anonymized.
Tier-1 payments processor — real-time fraud scoring at P99 8ms latency, replacing a stalled rules engine.
Large medical group — on-prem RAG with patient-context grounding. PHI never leaves the network. 87% draft acceptance.
Tier-1 mobile carrier — fine-tuned encoder model for 47-category intent classification. Mis-routing 22% → 6%.
No PoC theater. Every engagement ships to production within the first quarter — with eval, monitoring, and the operational discipline regulated industries demand.
HIPAA, PCI, SOC 2, HITRUST aren't checkbox compliance — they're how we engineer. PHI never leaves trust boundaries. Audit trails are first-class. Kill switches always exist.
Sometimes the right answer isn't AI. We'll tell you on the first call. We've turned down engagements where the problem was better solved by deterministic code, a domain expert, or a well-designed form.
Operate-with phase from day 60. Your team owns the model lifecycle, the eval suite, the retraining cadence. We leave runbooks and capability — not dependency.
30 minutes, senior ML engineer, no slides. We'll tell you on the first call whether it's worth shipping — and what it'll really cost.