Any source, as it already exists
Clinics and patients already hold the data: lab printouts, discharge PDFs, handwritten prescriptions, voice notes, WhatsApp messages, device readings, intake forms. Nothing has to be re-typed into a new system first.
On a mission to On a mission to reduce doctor workload, increase patient time and trust, reduce healthcare cost, and give better treatment outcomes for clinics, nursing homes, small and medium hospitals, labs and individual doctors.
What we provide
Coordinators and health managers keep patients informed and coming back, and a doctor support network takes on the admin, legal and documentation work.
Everything said, shown or sensed is captured and structured into one record, run by voice and prompts.
Agents and transparent reasoning work on the full record and return tasks, answers and evidence.
Care that continues between visits, with less paperwork and more evidence behind every decision.
Each closed loop leaves a more complete record and a clearer view of what worked.
How the ecosystem works
Any data being ingested is cleaned, classified and stored. A team of people and Shishyan AI ensure it is complete, so each decision and answer is based on extensive data. Select a stage to see what happens there.
Illustrative diagram of the architecture.
Clinics and patients already hold the data: lab printouts, discharge PDFs, handwritten prescriptions, voice notes, WhatsApp messages, device readings, intake forms. Nothing has to be re-typed into a new system first.
Each file is classified by type, its fields are extracted, cleaned and sorted into investigations, medications, procedures, history and signs, then written to the patient's record with the original file kept alongside.
One continuously updated record per patient (vitals, diagnoses, medicines, allergies, labs and history) that every other part reads from. Continuous inflow keeps it current, so nobody works from last month's picture.
People talk to the patient, build trust, bridge the communication gap between clinic and home, and chase the missing data points the system flags. AI is the backbone behind them; it does not face the patient.
A single agent runs workflows, tasks and schedules, watches for abnormalities and worsening, does the computation and runs simulations. It proposes and prepares; clinical decisions stay with the doctor.
Doctors and care teams get a complete, current picture. Patients get explained plans through their coordinator. Population-level, de-identified data supports policy, epidemiology and research.
Certified infrastructure — data & AI
Storage infrastructure is HIPAA-eligible and ISO/IEC 27018 certified for cloud PII protection. AI inference runs on ISO/IEC 42001 certified infrastructure with zero-data-retention providers — your inputs are never stored or used for model training.
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