Forward Deployed Engineering, all the way to production.
A senior US team embedded in your operation, building the AI that moves your numbers and running it in production. Most healthcare AI stops at the demo. We build the version that drives the operation, and you own what we build.
Speed to value, built with judgment.
An applied AI and software firm since 2007. Senior US-based architects, who have built in both startups and enterprise, lead every engagement.
Speed to value
Production in weeks, not years.
Senior architects orchestrate; AI accelerates the build. A RAF platform live in 12 weeks. Ambient documentation in 90 days.
Healthcare-native
HIPAA and the EHR from day one.
PHI and CMS validation built in. Live in production on PointClickCare, with HL7 and FHIR across major EHRs. Not reading the spec for the first time.
You own what we build
Build, operate, transfer.
We hand over the code, the models, and the IP, and build your team’s capacity, not a dependency on ours. Right-sized for the mid-market, not rented from a platform.
Production AI across three healthcare domains.
Most AI stops at the demo. These run in production, and every number is real.
Revenue Cycle
$24M+
Documented revenue impact with CommuniCare via MDS optimization. $10M+ PDPM recovered, plus $2M in annual quality incentives; hours of review cut to about a minute.
Read the case study →Patient Engagement
26,000
Patients a day on NeverAlone, the virtual care platform we built and still operate. 96% treat-in-place across 130+ post-acute locations, 24/7.
Read the case study →Clinical Workflows
45 → 5 min
Ambient documentation per visit at 95%+ accuracy. Clinicians see 2 to 3 more patients a day. EHR-integrated, in production.
See the healthcare proof →The production stack behind the outcomes.
The model is about 20% of the build. The other 80% is the engineering that gets AI to production.
Assurance & delivery
Evals + audit trail
Automated QA & evals · observability · bidirectional EHR write-back · CI/CD
Agentic orchestration & application
Agents inside a real product
Multi-agent orchestration · tool & function calling · workflow & business rules · human-in-the-loop · the app your team uses
Models & AI ~20% of the build
Model-agnostic + custom
Claude · GPT · open-source · fine-tuned · custom vision & edge models · RAG + embeddings · serverless, dedicated, or self-hosted per cost & PHI
Data & integration
Meets your systems where they are
EHR · HL7 / FHIR · clearinghouse & API connectors · data pipelines · custom query engine
PHI / compliance plane
Your PHI never leaves your boundary
HIPAA · signed BAAs · encryption · role-based access · full audit trail
Embedded in your operation. Build, operate, transfer.
Senior product, design, and engineering pods embed close to the operation, map the workflow, deploy the capability, build the integrations, and stay accountable until the system earns its place in production. You receive the trained-on-your-data instance, the configurations, and the integration code as permanent assets.
01 · Assessment
Find the ROI
2 to 4 weeks
02 · Pilot
A production pilot, not a demo
8 to 12 weeks
03 · Production
Operate, expand, transfer
Build · Operate · Transfer
Your hospital’s moat is not in Epic. It’s in the layer above it.
Every comparable health system runs the same EHR, the same patient engagement platforms, the same revenue cycle stack. The differentiation is moving to the layer above them: the system of intelligence that reads across these platforms, decides what matters in the moment, and writes back into the work. Digital Scientists builds healthcare systems of intelligence. The institution owns what gets built.
NeverAlone: the front face of an institutional system of intelligence in production. 26,000+ patients, 130+ post-acute locations, 24/7/365.
MDS Optimization: the back face of an institutional system of intelligence in production. $24M+ in documented healthcare impact with CommuniCare.
Forward Deployed AI Engineering: the delivery model. Senior pods embedded close to your operation. Build, Operate, Transfer commercial terms.
The system of intelligence sits above the EHR. Vendor platforms become commodity infrastructure beneath it.
Field guide
Implementing AI in the Real World
A five-part guide to putting AI into one workflow, in production, this year, and the thinking behind how we work.
Where to start with AI: one workflow, in production, this year
How Forward Deployed AI Engineering actually works
How to pick the AI workflow that pays back this year
Partner or in-house for your AI build: what you own, what it costs
The ROI of AI, and what one workflow becomes
Put your healthcare AI into production.
A senior US team embedded in your operation, accountable to the return. You own what we build.
Talk to a Forward Deployed EngineerDeploying AI inside a health system.
Is Forward Deployed Engineering HIPAA compliant, and will you sign a BAA?
Yes. We are HIPAA compliant and sign BAAs. PHI stays inside your boundary, with role-based access and a full audit trail. Our controls are NIST-aligned, and we operate under a signed BAA with our cloud provider so the chain of custody holds end to end.
Where does PHI live, and how is it protected?
PHI stays inside your environment and your cloud boundary. We build with role-based access, encryption in transit and at rest, and a full audit trail of every read and write. We do not move patient data into our own systems or use it to train anything outside your engagement.
Do you integrate with our EHR?
Yes. We are live in production on PointClickCare with HL7 and FHIR interoperability, and Epic integration is in active R&D. Forward Deployed means we build into the systems you already run, reading across the EHR, patient engagement, and revenue cycle platforms rather than replacing them.
How is this different from the AI features our EHR vendor is shipping?
Your EHR vendor ships the same features to every customer, inside their platform, on their roadmap. We build the system of intelligence that sits above the EHR, reads across your platforms, and encodes how your institution actually works. That layer is where your differentiation lives, and you own it. Vendor features become commodity infrastructure beneath it.
Who owns the models, code, and data when the engagement ends?
You do. You own the code, the integrations, the configurations, the documentation, and any models or prompts we build. Your data is always yours. We document everything so your team can maintain and extend the system after we leave.
What does Build, Operate, Transfer actually mean commercially?
We build the system embedded in your operation, operate it in production while it proves out and scales, and transfer it to your team as a permanent asset. You receive the trained-on-your-data instance, the configurations, and the integration code, with the option for us to keep operating it or hand off entirely.
Do you have healthcare AI in production today?
Yes. NeverAlone is the patient-facing front of an institutional system of intelligence, live across 130+ post-acute locations serving 26,000+ patients, 24/7/365. Our MDS revenue-integrity work with CommuniCare is the operational back, with more than $24M in documented healthcare impact. Both run in production on real patient data today.
How fast can we prove ROI in a regulated environment?
An engagement starts with a 2 to 4 week assessment that identifies where AI can create measurable value and what must be true for it to work in production. A focused pilot then reaches production in roughly 8 to 12 weeks, with the governance, audit trail, and measurement to defend the result to compliance and the board. You see the ROI case before the pilot and the measured return during it.