Healthcare AI that respects the clinician and the patient
From appointment automation on WhatsApp to clinical documentation assistants and research-literature RAG, we build with privacy, HIPAA-style controls and human oversight designed in.
Where AI pays off in Healthcare & Life Sciences
Patient engagement
Appointment booking, reminders and follow-ups on WhatsApp and voice with EHR integration.
Clinical documentation
Summaries and structured notes from consultations, reviewed and signed by clinicians.
Research assistants
Cited retrieval over literature, protocols and internal guidelines for research teams.
Healthcare & Life Sciences at a glance
How we help
Problems we solve in Healthcare & Life Sciences
Each maps to a reference architecture and to outcomes the industry has documented.
Calls missed, callers on hold
Clinics, dealerships and service businesses lose bookings after hours and during peaks. IVR menus frustrate callers and staff repeat the same ten conversations all day.
How the system works
- Call arrives
- Streaming speech-to-text
- Agent reasons & checks calendar / CRM
- Streaming text-to-speech
- Book, confirm, hand off
Outcome: Voice agents replacing IVR resolve a majority of qualified calls automatically (66% at one Parloa customer) and cut wait times by a third or more, at turn latencies under a second. Parloa customer results
ArchitectureDocuments keyed in by hand
Invoices, KYC files, claims and contracts arrive as PDFs and photos. People retype them, errors slip through, and the backlog grows every month-end.
How the system works
- Ingest PDF / image / email
- Classify document type
- Extract to a schema
- Validate & score confidence
- Auto-post or route to review
Outcome: Documented deployments classify documents in under a second, turn day-long claims backlogs into minutes, and reach 85% no-touch invoice processing within six months with a seven-month payback. DXC with Claude; Vic.ai
ArchitectureAnswers buried in ten systems
Policies live in SharePoint, decisions in email, procedures in Confluence and history in tickets. New staff take months to become useful and experts answer the same questions daily.
How the system works
- Connect sources
- Chunk with context, embed + index
- Hybrid retrieval + rerank
- Cited answer with permissions
- Feedback into evals
Outcome: Contextual chunking with hybrid search and reranking cuts retrieval failures by 67% versus plain vector search, which is the difference between an assistant people trust and one they abandon. Anthropic: Contextual Retrieval
ArchitectureLet's build intelligent systems that drive growth
Tachyon is the engineering partner for teams that need AI in production, not in a deck. Start with a free 60-minute discovery call.
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- Clients worldwide · English
- Pune, India · Headquarters