Silicon Prime is a healthcare software development company building for providers, payers, and digital health teams. Custom applications, modernization, and EHR, FHIR, and HL7 integrations — engineered HIPAA-ready from the first line, not patched for compliance after the fact.
AI healthcare software development is core to how we work: as a Responsible AI lab, we add machine learning that backs clinicians and staff, governed for risk and shipped on a production cadence — not a demo that never leaves the lab.
Healthcare software is easy to demo and hard to run safely. We build the parts that matter — engineered HIPAA-ready, with privacy and security designed into the architecture, not bolted on.
Patient-facing apps, clinical tools, and administrative systems built for your workflows — engineered HIPAA-ready, with privacy and security designed into the architecture, not bolted on.
Application modernization for legacy clinical and administrative systems — moved to a modern, supportable stack incrementally and safely, without freezing care delivery.
AI and machine learning that backs clinicians and staff — decision support, document understanding, and automation, shipped with evaluation, guardrails, and human oversight.
Standards-based integration with electronic health records and the wider ecosystem — FHIR, HL7, and secure vendor APIs — with the mapping, terminology, and error handling that real interoperability demands.
Encryption in transit and at rest, least-privilege access, audit logging, and data-handling boundaries — the engineering discipline that makes software HIPAA-ready by design rather than patched after the fact.
Long-term ownership — monitoring, security updates, and incremental improvement — from a team with a 90%+ client retention record, because healthcare software lives and breathes for years.
Healthcare software is easy to demo and hard to run safely. Every engagement includes the parts that keep patient data protected and the system trustworthy in production.
The order is the point: privacy and security are designed in first, then proven before release — never patched after the fact. Every step ships behind the same gates.
We start with a costed build plan and design privacy and security into the architecture — encryption, access control, and audit logging engineered in from the first line.
Standards-based integration with EHRs and the wider ecosystem — we handle the messy realities of mapping, terminology, and error handling so data moves accurately and securely.
Continuous validation through Aegis AI — the defect-reduction edge proven across a 200+ location enterprise with twice-weekly releases and zero critical defects.
Each release ships behind quality gates with production monitoring and drift detection — plus documentation and handover so your team can operate and improve it for years.
↺ A continuous loop — every step feeds the next ● HIPAA-ready by design
Healthcare rewards the same discipline behind Aegis AI, our enterprise production suite. Across a 200+ location enterprise, the team sustained twice-weekly production releases with zero critical defects for the past year — a defect-reduction edge that lets us move at speed without breaking what matters.
We are an AI lab born out of Stanford, building Responsible AI for the enterprise since 2011. Healthcare rewards the same discipline we already live by: privacy and security treated as architecture, not afterthought, and AI governed for risk with human oversight built in. That is what human-led AI means in a clinical setting — software that backs your people and protects the patients they serve.
The result: the same production rigor behind Aegis AI, our enterprise production suite, applied to systems where mistakes are not an option. Aegis delivered twice-weekly releases with zero critical defects over 12 months across a 200+ location enterprise — a defect-reduction edge that lets us move at speed without breaking what matters. Pair that with our AI and machine learning expertise, and you get healthcare software your team can trust, operate, and improve.
Healthcare software your team can trust — protected by design, proven in production.
The questions providers, payers, and digital health teams ask before trusting anyone with patient data.
Healthcare software development is the design, build, and operation of applications for providers, payers, and digital health teams — patient-facing apps, clinical and administrative systems, and the integrations that connect them. Done well, it treats privacy and security as part of the architecture, so the software is HIPAA-ready by design rather than patched for compliance after the fact.
Yes. We build software to be HIPAA-ready by design — encryption in transit and at rest, least-privilege access, audit logging, and data-handling boundaries engineered in from the start. Compliance is ultimately a shared responsibility across your organization, processes, and infrastructure, and we bring the engineering discipline of a Responsible AI lab to the parts we own.
Yes. As a Responsible AI lab, we add AI and machine learning features — from clinical decision support to document understanding and workflow automation — with evaluation, guardrails, and human oversight built in. AI in healthcare backs clinicians and staff rather than replacing their judgment, and every model ships with the monitoring needed to keep it safe in production.
Yes. We integrate with electronic health record systems and the broader healthcare ecosystem using standards like FHIR and HL7, plus the secure APIs your vendors expose. We handle the messy realities — mapping, terminology, and error handling — so data moves accurately and securely between your systems and ours.
Tell us what you're trying to build. We'll scope it, design it HIPAA-ready, and give you a costed path to production — with the compliance and security discipline the work demands.
Thirty minutes. No pitch deck. We reply within 48 hours.