We don't treat AI as an add-on. We embed it across the SDLC, engineer the architecture that makes production AI possible, and operate as a fractional AI team inside regulated environments.
An AI Compliance Agent sits between every pull request and CI/CD — checking architecture, conventions, lint, dependencies, and writing the PR summary, so reviewers spend their time on the decisions that matter.
Specs, ADRs, and acceptance criteria — co-authored with senior engineers.
System diagrams, interface contracts, and data models reviewed before code.
AI-assisted code generation paired with senior engineering judgment.
Automated test generation, evals, and compliance checks on every PR.
Observability, on-call rotations, and post-incident review baked into delivery.
Senior judgment stays with senior engineers. Consistency work becomes inherited, not negotiated.
An AI Compliance Agent sits inline on every PR — checking architecture, conventions, lint, and dependencies before a human review even begins.
Agents are scoped against the architecture we designed, not the one the model imagines. Drift gets flagged before it lands.
Every PR carries a generated summary, risk callouts, and eval results — an audit trail your compliance team can read.
Four product domains sitting on a four-layer architecture, wrapped by orchestration and evaluation, inside a HIPAA / SOC 2 / HITRUST perimeter that stays in your VPC.
Most healthcare and life-sciences companies cannot hire a full AI org overnight — and shouldn't. We operate as a fractional AI team that builds the first capability, embeds with your engineers, and hands off when you're ready to own it.
A senior AI team — architects, ML engineers, MLOps — designs and ships the first production system end-to-end inside your environment.
We integrate with your cloud, IAM, data warehouse, and compliance posture — no greenfield assumptions, no rewrites.
We pair with your engineers — code reviews, design docs, on-call rotations — so the capability lives where your team works.
When you are ready to own it, we hand off with documentation, runbooks, and a hiring profile. No lock-in.
A selection of recent systems — each running on real data, under real compliance, with real users.
A high-throughput pipeline that ingests unstructured clinical text — notes, journals, contracts — classifies it, extracts entities, and normalizes the output into a structured warehouse.
Outcome Millions of pages processed monthly with auditable evals on every model version.
A physician-facing assistant grounded in local drug, clinical, and protocol data — answers in the clinician's language, citing the source of every claim, with hallucination guardrails at the orchestration layer.
Outcome Adoption across multiple LATAM markets with citation-backed answers in physicians' native languages.
A four-tier matching stack that resolves provider identities across NPI, claims, directory, and EHR sources — with deterministic exits at every tier so cheap matches never wait on expensive ones.
Outcome Match precision over 99% on tier-1, with downstream model load cut by an order of magnitude.
Generated reports run through an LLM judge that scores them on factuality and policy; high-confidence reports go straight to the analyst inbox, low-confidence ones bifurcate to a human reviewer with the judge's rationale attached.
Outcome Analyst review queue cut by ~70% while keeping zero policy escapes in audit.
Voice agents that handle routine outreach — appointment reminders, care-gap follow-up, intake screening — handing off to humans on any signal that needs one.
Outcome Coverage on populations that were previously unreachable inside staffing budgets.
Offline evals, LLM-as-judge harnesses, and LangFuse traces wired into every release — so model regressions are caught before they reach production.
Outcome Every model change ships with a quantitative story, not a vibe check.
Reference architectures and IaC for running LLMs and vector stores inside customer VPCs — no data egress, full audit trail, BAA-friendly.
Outcome Production AI that passes HIPAA, SOC 2, and HITRUST review the first time through.
Opinionated but not dogmatic. We meet you on your stack and extend it — these are the tools we reach for first.
Does your organization need the architectural depth to build stable solutions? Speak with a lead consultant to discuss your infrastructure, migration, or AI needs — give us the brief, and we'll build the solution.
