Healthcare & Life Sciences
Production AI for care teams, patients, and clinical operations — grounded in private data, deployed on HIPAA-aligned infrastructure, and evaluated for safety.
AI that respects patient data, clinical reality, and compliance
Healthcare AI fails when it ignores compliance, ignores clinical nuance, or hallucinates in front of a patient. We build systems that respect all three: permission-aware retrieval over patient records, HIPAA-aligned private endpoints, and eval batteries that measure faithfulness, PII leakage, and out-of-scope refusal before anything goes live.
Compliance posture
- HIPAA-aligned
- BAA available
- Private endpoints
- Audit trails
Use cases we see.
- Patient-facing health information chat grounded in their own records
- Clinical note summarization for care coordination
- Multimodal intake pipelines (forms, IDs, clinical photos)
- Voice intake and triage with structured capture
- Compliance and policy Q&A for care operations
Solutions that fit this vertical.
Conversational AI & Chat Lookup
Production-grade chat systems that answer from your sources with citations, guardrails, and session memory.
Retrieval-Augmented Generation
End-to-end RAG pipelines from ingestion to retrieval to answer generation, built for accuracy and cost control.
Document Intelligence
Pipelines that turn unstructured documents into structured data your systems can use.
Multimodal & Vision AI
Vision-language pipelines for diagrams, photos, scans, and video — with the same grounding, eval, and infra rigor as our text systems.
Voice AI & Realtime Agents
Realtime voice agents that listen, understand, and respond — grounded in your data and integrated with your systems.
Cloud AI Infrastructure
We stand up the platform layer so your AI systems are secure, observable, scalable, and cost-governed from day one.
In production.
Healthcare patient data mapping & health information chat
Mapped and normalized patient data to power a grounded chat experience where patients can ask questions about their own health information — safely.
Multimodal patient intake with schema-constrained extraction
Intake pipeline that parses forms, IDs, and clinical photos into a clean patient record with confidence scoring and human review queue.
Stack we use here.
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