Data locked in silos
EHR, claims, lab, pharmacy and patient-reported data sit in separate systems with inconsistent identifiers, so a full view of a patient or a population requires weeks of manual reconciliation.
Providers, payers, digital health companies and life sciences firms carry the same burden: data trapped in systems that do not interoperate, staff buried in administrative work, and regulators that expect every change to be validated. We build and modernize within those constraints.
EHR, claims, lab, pharmacy and patient-reported data sit in separate systems with inconsistent identifiers, so a full view of a patient or a population requires weeks of manual reconciliation.
Prior authorization, documentation, coding and scheduling consume hours that should go to care, and turnover follows.
HL7 FHIR APIs, information blocking rules and payer data exchange requirements demand integration work that legacy platforms were never designed for.
Systems governed by FDA 21 CFR Part 11 or internal quality processes need documented validation, which turns small changes into long projects without the right engineering practices.
Clinical and operational AI must be explainable, monitored for bias and drift, and governed so leadership can answer what it does and why.
Healthcare IT consulting and engineering for providers, payers, digital health companies and life sciences: HIPAA-aligned data platforms, FHIR integration, digital health products, cloud modernization and specialist talent. Organized by practice.
Yes. We sign Business Associate Agreements for any engagement that involves protected health information, and we design access, logging and encryption to meet the obligations in it.
PHI stays in your cloud accounts and regions. We use least-privilege access, encryption in transit and at rest, full audit logging, and de-identified or synthetic data for development and testing wherever possible.
Yes. We build integrations using HL7 FHIR and HL7 v2 interfaces and vendor APIs, and we design them to meet information blocking and interoperability rules.
Yes. For systems that fall under FDA 21 CFR Part 11 or your quality management system, we deliver with documented requirements, traceability, automated test evidence and change control that fits your validation process.
Connecting to an EHR or payer through FHIR is mostly planning: which version and guides to target, how authorization gets approved, and how to handle uneven data. Here is what…
HIPAA has no separate rule for AI, so the existing ones apply. Here is how business associate agreements, minimum necessary, risk analysis and de-identification shape a generative AI feature.
Workflow automation follows steps you define. An AI agent chooses its own steps. Here is how the two differ on cost, predictability and risk, and how to decide for a…
Margins are tightening, regulators are watching AI closely, and customers expect every interaction to be instant. We help you move faster without adding risk.
Retailers and consumer brands compete on experience, availability and margin at the same time. We build the commerce, integration and forecasting systems that let you do all three.
Your product is the business. We extend your engineering team, scale your platform and build the AI features your customers are asking for, without slowing your release cadence.
Manufacturers hold more operational data than almost any other industry and use less of it. We build the data platforms, integrations and analytics that turn machine, quality and supply chain data into decisions.
Carriers, 3PLs, freight forwarders and shippers run on thin margins and tight windows. We build the platforms that show where everything is, pick the best route and load, and take paperwork off your team.
Tell us about the systems, the data and the rules you work under. We will tell you what is realistic.