Government health · Data science · Software
The nation’s health, optimized through engineering.
Hale Data Sciences builds data platforms, machine-learning systems, and secure software for the government agencies that safeguard American health.
HDS · Population health
SYNDROMIC · WK 36
Ingest · 24h
12.4M
+2.1% vs prior day
Forecast Δ · 4wk
+8.2%
model CI ± 1.9
Open signals
1
wk 30 · under review
Respiratory ED visits per 100k — observed & 8-week forecast
Supporting missions across
VAHHSCMSCDCDHANIHState & LocalHow we deliver · The Dark Factory™
Every release, off a governed production line.
Every release class we ship — software, data, models, AI systems, decision products — moves through its own proprietary Dark Factory pipeline. Specs go in continuously; signed, evidence-backed releases come out. Every stage clears three layers of validation: programmatic checks, AI evaluation, and human sign-off. And the line learns: what the evaluation gates find feeds the next round of specs.
HDS · Dark Factory
RUN 2381 · CHECKS 9/9
Diagram of the Dark Factory delivery pipeline. Specifications of every kind, written by people, arrive continuously and converge on a specification gate at the factory wall — the barrier to entry: no spec enters the line without clearing it. Inside the sealed factory, three verification gates each apply three validation layers: programmatic, ai evaluation, human sign-off. A signed release exits and fans out into the releases this line ships: software, data, models, decisions. Evidence accrues on a ledger at every gate — 1,284 artifacts this run, reviewed by people. A feedback loop returns what the evaluation gates find — failed checks, AI-review findings, human review notes — to the specification gate, sharpening the next round of specs before they enter the line. Fabricated illustrative data.
- DF/SWSoftware Pipeline™Applications · APIs · FHIR interfaces
- DF/DAData Pipeline™Pipelines · curated datasets · research enclaves
- DF/MLMachine Learning Pipeline™Classification · regression · forecast · vision models
- DF/AIAI Systems Pipeline™LLM assistants · clinical NLP · agentic workflows
- DF/DXDecision Pipeline™Dashboards · geospatial · reports · decision support
- DF/YOUYour Pipeline™Custom-built for your mission's release class
What we do
Four disciplines. One delivery standard.
Everything we build is engineered for the realities of government health programs: sensitive data, strict accreditation, and zero tolerance for downtime.
Data Engineering & Analytics
Pipelines, warehouses, and governance that turn fragmented health records into decision-grade datasets.
AI & Machine Learning
Predictive models, clinical NLP, and full ML/AI operations — built and run for accreditation, not just accuracy.
Software Engineering
Modern, Section 508-compliant applications delivered by small agile teams shipping to production weekly.
Cloud & DevSecOps
FedRAMP-aligned architectures and pipelines that cut months off the path to ATO.
Domain depth
Healthcare is where we go deepest.
From FHIR interoperability to claims analytics at CMS scale, our teams work in the grain of health data — its standards, its privacy law, and its clinical stakes. The same engineering travels well to any mission built on sensitive data.
Claims & Payment Integrity
Fraud, waste, and abuse detection across billions of claim lines; risk adjustment; prior-auth decision support.
Population Health & Surveillance
Syndromic surveillance, outbreak detection, and jurisdiction dashboards that hold up during a crisis.
Clinical Operations
Risk stratification, capacity forecasting, clinical NLP, and decision support inside the EHR workflow.
Research Data Platforms
OMOP research enclaves, registry systems, de-identification, and reproducible analysis environments.
How every release is validated
Gate 1 · Programmatic
Checks run on every artifact
Tests, static analysis, and policy checks execute continuously — nothing advances with a red result.
Gate 2 · AI evaluation
Models judge the work
Automated evaluation reviews each release candidate against its spec before a person ever sees it.
Gate 3 · Human sign-off
A person signs the release
Every release ships signed, with its evidence ledger attached — accreditation accrues from the first commit.
Why Hale Data Sciences
Built different, on purpose.
Small-business speed, enterprise rigor
Compact teams with direct access to principals — governed by the same engineering discipline you'd expect from a prime ten times our size.
Compliance is a feature
NIST 800-53 controls, audit trails, and 508 accessibility are designed in from the first sprint, so accreditation never becomes a rewrite.
Founded at the intersection
Hale Data Sciences was founded by a psychiatrist and an AI systems engineer. That pairing runs through every delivery team, so our models reflect medical reality — not just the training data.
Bring us a hard problem.
Whether you’re shaping a requirement or rescuing a program, we’ll show you working software before we show you a slide deck.