Healthcare platforms
Software for medical companies, built inside the operation.
Multi-market ERP for a dental manufacturer. A doctor-validated AI health companion for menopause with a clinician portal. Systems that run in clinics and back offices, with medical safeguards and a person in control of every consequential decision.
Built with clinicians and operators, not around them.
Where healthcare operations break down
The clinical work is careful. The operation around it is manual.
Orders, stock and markets on separate systems
Four countries, four sets of records, no single view of what was sold and what is left.
Knowledge that patients cannot reach
Guidance sits with a few clinicians; patients wait for the next appointment.
Reporting by hand
Regulatory and management reports assembled from exports every month.
AI without safeguards
Generic assistants that cannot say what they do not know, and that nobody validated.
Systems that never reached production
Pilots that impressed in a demo and stalled at integration, data protection or adoption.
In production
Three platforms medical teams use today.
- one ERP integration layer across four European markets, with AI demand forecasting: 60% less manual entry
- Bredent Medicalone ERP integration layer across four European markets, with AI demand forecasting: 60% less manual entry
- AI health companion for menopause with a doctor-validated knowledge base, medical guardrails and a clinician portal
- Lunalta.aiAI health companion for menopause with a doctor-validated knowledge base, medical guardrails and a clinician portal
- healthcare platform built and run with SIEL engineering
- Skyonicshealthcare platform built and run with SIEL engineering
- of consequential actions gated by a named person, by design
- 100%of consequential actions gated by a named person, by design
Details of each engagement on request; some are under NDA.
How we start
One workflow, one platform, one team that stays until it runs.
01
Map the workflow with the people who run it
Clinicians, operators, back office. What happens today, where it slows down, where a mistake would matter.
02
Agree the safeguards first
Data flow, hosting, approved models, retention, who decides what. Written down before a line of code.
03
Build in your environment
Around the ERP, the practice software and the data you already have. Validated against real cases.
04
Hand over
Documentation, training, ownership. Your team runs it and can change it.
What we work with
- Dynamics 365
- practice and clinic software
- laboratory and device data
- e-invoicing
- patient-facing apps
- doctor portals
- on-premises and EU-hosted models
- retrieval over validated medical content
Why SIEL
Medical work needs systems that know their limits.
- Doctor-validated content
- Knowledge bases reviewed by clinicians, with sources, before a patient sees an answer.
- Guardrails, not disclaimers
- Scope limits, escalation to a person, and a log of every decision.
- Data handled by agreement
- Hosting location, retention and access roles are part of the contract.
- Products, not just projects
- We build and run our own healthcare product, so we know what adoption takes.
Start a conversation
What should work better in your organisation?
Tell us the workflow, the systems and who it serves. A senior engineer reads it and replies within two business days.