Software built for the way care actually runs, not the way vendors describe it.
Custom platforms, AI agents, and unified data infrastructure for hospitals, health systems, and specialty practices. HIPAA, HL7, and FHIR are the starting point. Clinical adoption is the bar.
Three things slowing down clinical operations.
Disconnected systems
EHR, billing, scheduling, lab, and imaging all run on separate platforms with brittle interfaces between them. Staff bridge the gaps by hand. Data lands late or wrong, and reports are stale before leadership reads them.
Administrative burden
Prior auth, referral routing, and documentation pull clinicians away from patients for hours every day. The work is structured and rule-based, but it sits in inboxes and portals because no off-the-shelf product handles it cleanly.
AI without a foundation
Vendors pitch AI features bolted onto products that don't have access to the right data. Without unified clinical and operational records, models hallucinate, reports drift, and clinicians stop trusting the output.
Three systems we build for healthcare organizations.
Less admin friction,
more patient throughput.
Outcomes from recent healthcare deployments across prior auth automation, referral routing, and data unification. Project specifics scoped on request.
Got a clinical workflow that should be a system?
Straight answers.
HIPAA requirements shape the architecture from day one — encryption at rest and in transit, access controls, audit logging, and BAA execution with all relevant infrastructure and service providers. Technical, administrative, and physical safeguards are designed into the system, not bolted on after development.
Yes. We build systems that operate around and between your existing EHR — Epic, Cerner, MEDITECH — using HL7 FHIR and v2 interfaces. We're not trying to replace your EHR. We build the custom systems that automate the workflows your EHR can't handle and surface the data your analytics tools miss.
Our AI systems are built on retrieval-augmented generation pipelines grounded in your organization's own data and policies. Every AI system includes confidence scoring, source attribution, and human-in-the-loop escalation for decisions that require clinical judgment. We don't deploy models that make things up.
It varies based on scope, integration complexity, and compliance requirements. A focused clinical workflow automation might take 8–12 weeks. A full data platform with EHR integration, AI models, and regulatory reporting takes longer. We provide fixed-scope proposals after a discovery phase that defines the actual requirements.
Yes. We regularly build on top of existing data systems — connecting to EHR databases, billing platforms, lab systems, and imaging archives. We assess your current infrastructure during discovery and design the integration layer based on what your systems actually expose, whether that's FHIR APIs, HL7 v2 feeds, or direct database connections.
We design for the people who use the system every day. If clinicians won't use it, it doesn't matter how elegant the architecture is. That means intuitive interfaces designed for clinical workflows, minimal clicks, and integration into the tools they already use rather than adding another application to their rotation.
Ready to talk about your project?
Whether it's automating a clinical workflow, building a healthcare data platform, or deploying AI that works in a clinical environment — tell us what you're trying to solve.