Healthcare is where we started. It's where we go deepest.
We've been building healthcare software, integrations, and data platforms for over a decade. We understand the regulations, the data complexity, and the workflows that break when systems can't keep up. If you're evaluating us for a healthcare engagement, this page is for you and your compliance team.
Built for regulated environments.
We've operated in HIPAA and GDPR environments and built applications that meet the controls expected under HITRUST criteria, including audit logging, separation of duties, and data access controls.
We don't treat compliance as a checkbox at the end of a project. Security, auditability, and privacy are architectural decisions we make from day one. Our teams understand what it means to build software that will be reviewed by compliance officers, audited by third parties, and used in environments where a data breach isn't just a PR problem.
FHIR-native from the ground up.
Our team includes HL7 FHIR-certified developers at multiple certification levels. We build FHIR-native applications, integrate FHIR and non-FHIR systems, and use AI to dynamically map data into FHIR-compliant resources.
Our product, DocSimplify, is built entirely on the FHIR standard. Every record, every form, every data exchange operates in FHIR natively. We've pioneered the use of FHIR combined with AI to make healthcare system integration faster, more reliable, and truly interoperable.
We also help organizations adopt FHIR within their own technology stack, whether that means building new FHIR-native capabilities or integrating legacy systems with FHIR-compliant platforms.
What we've built in healthcare.
Pure Healthcare
Johns Hopkins ACG integration and unified data warehouse for member risk intelligence.
SaveOnSP
Data warehouse and lakehouse on Microsoft Fabric, preparing data infrastructure for AI.
Anesthesiology Service Network
Automated quality tracking for adverse events during anesthesiology procedures, with real-time EHR integrations.
CareStar
Care management application for a preferred state vendor, replacing a legacy system that had resisted multiple previous replacement attempts.
Gold Youth Development Agency
Large-scale data collection and impact tracking platform reaching 111,000+ participants across Africa.
The impact was long-lasting. It wasn't just “now we have this data integrated.” It was a robust system where the cost of ownership was well managed.
AI that works in healthcare.
We treat AI as a tool to remove drudgery and compress time-to-output in clinical and administrative workflows. Our approach starts with getting the data right, understanding the workflows where AI makes a measurable difference, and building implementations that teams actually adopt.
We've deployed classical machine learning for healthcare data classification, achieving throughput increases of over 300%. We've built LLM-powered systems that handle complex FHIR mapping through natural language. And we build AI implementations with compliance in mind from the start, including architectural patterns that keep PHI out of model context when it doesn't need to be there.
The time it took to build that form in DocSimplify versus configuring one the traditional way... less than 15 minutes and you're done.
What healthcare buyers ask us
We build applications in HIPAA-compliant environments and understand the technical, administrative, and physical safeguards required. We execute Business Associate Agreements with clients where required.
We have built applications that meet the controls expected under HITRUST criteria. We can work within your HITRUST framework and support your certification process.
Yes. We integrate with FHIR-compliant EHR systems and have experience connecting to systems that aren’t FHIR-compliant through APIs, database integrations, file-based transfers, and other protocols.
Yes. We’re accustomed to working alongside compliance officers, security teams, and third-party auditors. We can provide architecture documentation, data flow diagrams, and security control documentation as needed.
We use architectural patterns that keep PHI out of AI model context when possible, including code execution patterns and tokenization layers. We’ve published our thinking on this approach on our blog.
Ready to talk about a healthcare project?
We'll be straightforward about what we can do and what we can't. If your project involves complex data, integration challenges, or AI in a regulated environment, we should talk.