AI development for healthcare
We build AI systems for US healthcare companies from India: clinical documentation tools, patient triage assistants, prior-auth automation, and medical record extraction. PHI handling, audit trails, and HIPAA-aware architecture come standard.
No sales script. You talk to the engineers who'd build it.
Our team works a shifted day so you get real-time standups and same-day turnarounds across US time zones, not next-morning replies.
Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.
You work directly with the engineers building your system. No account managers sitting between you and the people writing code.
We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.
What we build
Concrete systems we ship, tuned to your data and your stack.
Clinical documentation
Ambient scribes and note generation that draft from visit transcripts and let clinicians edit, not retype.
Prior-auth & claims
Agents that read payer rules and patient records to draft prior authorizations and flag denials before submission.
Patient assistants
Triage and intake chat that routes correctly and knows when to escalate to a human.
Record extraction
Pull structured data out of faxes, PDFs, and scanned charts without a human keying it in.
How we work
Scope & evals
We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.
Build in the open
Weekly demos against real data. You see progress every week and can change direction before it gets expensive.
Ship & instrument
We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.
Hand off or stay
Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.
Questions, answered
Can you work with PHI and stay HIPAA-aware?
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Yes. We design around PHI from the start: data minimization, encryption, access logging, and BAAs with model providers where required. We'll sign your BAA and work inside your cloud account if you prefer.
Do you use patient data to train models?
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No. Your data is never used to train shared models. We use enterprise model endpoints with zero data retention and keep everything inside infrastructure you control.
Which models do you use for clinical work?
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It depends on the task. We default to frontier models like Claude for reasoning-heavy work and smaller or self-hosted models where privacy or cost demands it. We pick per use case, not per fashion.
How do you handle hallucination in a clinical setting?
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We constrain outputs, cite source records, and keep a human in the loop for anything that affects care. The system surfaces evidence; the clinician decides.
Let's scope your build.
Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.
Start the conversation