MOBILE·APP·FLOWSCREENS·3FHIR·R4HIPAASLA·99.9V·2·6·STABLE9:4172BPMSpO298%BP120/78!SYNC9:41CLINICAL DASHBOARDHR72bpmBP120/80TEMP98.6FSpO298%ACTIVE MEDICATIONSMetformin 500mgBIDLisinopril 10mgQDAtorvastatin 20mgQHSA1C TREND · 12MO7.0ORDER LAB PANELREVIEW9:41LAB RESULTSCOMPREHENSIVE METABOLICGLUBUNCRNaKClCO2FLAGGED VALUESGlucose126 HA1C6.8Creatinine0.9eGFR>90BUN18SIGNMESSAGEAI SUMMARY · PRE-DIABETICRECOMMEND FOLLOW-UP 3MOPATIENTPHYSICIANPHYSICIANAPRIL·13·APRIL·19TIMEZONE UTC-6SEQ·09347CHK·0xA3F1D2HEAP·0.972TR·28·0.4·UTUE07·0.41·0485SIG·0.972SYNC

Healthcare software for the clinical frontline.

HIPAA-compliant platforms, AI-powered clinical tools, and patient-facing experiences. We build healthcare software that holds up in production, where reliability affects care, not just uptime.

Gritwell4-month MVP
Dr. Reddy'sOngoing since 2021
HIPAACompliant
Multi-platformWeb, mobile, PWA

What we build for healthcare

Healthcare software fails in predictable ways: compliance treated as an afterthought, multi-role workflows that collapse under real clinical load, patient-facing interfaces designed for power users instead of people under stress. We've built across all of it, and the common thread is the same. The complexity belongs in the system, not in front of the user.

Patient portals and apps

Appointment booking, care plans, messaging, and test ordering. Designed for patients under stress, not power users.

Provider and clinical dashboards

Multi-role workflows for care teams, providers, and admins. Built for speed between patients.

Insurance and benefits platforms

Health insurance, telemedicine integrations, claim processing, and policy management across web and mobile.

Telemedicine and virtual care

Video consultations, appointment and payment flows, 24/7 availability. Built as a PWA, no native install required.

Compliance infrastructure

HIPAA, audit trails, encryption, and access controls. Designed in from day one, not added at the end.

What we build for healthcare now, including platforms we operate

We design, build, and now operate healthcare software. Following our acquisition of Svaas Wellness from Dr. Reddy's Laboratories, we run two clinical platforms ourselves: an AI-native oncology treatment management platform supporting care programs across Latin America and India, and an AI-driven musculoskeletal health platform for physiotherapy and injury recovery. Operating them means we're accountable for the same things our clients are accountable for. Clinical workflow reliability. Regulatory compliance. Patient data security. Outcomes that affect real people.

That changes how we approach new engagements. We've been on the receiving end of architecture choices that make a healthcare platform hard to maintain. We know which corners cut time upfront and cost more later. HIPAA compliance and EHR integration get scoped before any product code is written, because those decisions shape the data model, the authentication layer, and the API design in ways you can't easily retrofit.

We've shipped HIPAA-compliant platforms for Gritwell (MVP in four months, $3M raised post-launch) and Dr. Reddy's (ongoing since 2021 across multiple markets). The Svaas acquisition adds direct operational accountability on top of the delivery work we've always done.

Where AI in healthcare is going

Most clinical AI today surfaces information. A risk score. A flagged data point. A suggested protocol that a clinician still has to act on manually. The useful shift is AI that completes workflow steps directly: drafting a care plan from intake data, pre-filling documentation from a consultation transcript, routing a referral without a coordinator in the middle. The compliance requirements for that level of involvement are real, but so is the clinical benefit, especially in high-volume workflows where time between patients is measured in minutes.

The Svaas musculoskeletal platform already does this. It uses AI to adapt rehabilitation programs to each patient's actual progress rather than running a fixed protocol. The patient gets a program that responds to how they're doing. The care team gets a system that flags when someone isn't progressing rather than requiring a manual review cycle. That pattern is spreading quickly into chronic disease, mental health, and remote monitoring.

On the operational side, there's significant work still to do on closing the gap between what clinical data says and what care coordinators can act on. Scheduling, follow-up, care gap identification: these are repetitive enough for AI to handle, but they require clean data architecture and integration with EHR systems that vary significantly in what they expose. Teams that get this right in the next 18 months will have products that are harder to displace. Teams that treat it as a roadmap item will be catching up.

Case study

Gritwell: zero to MVP in 4 months

We co-built Gritwell's wellness platform as a venture partnership. Client portal, provider back-office, real-time connectivity. $3M raised post-launch.

Read the case study

Common questions

HIPAA compliance is an architecture decision, not a checklist item. We design audit trails, role-based access controls, and data encryption into the system from the start. PHI handling, session management, and data retention policies are scoped before development begins, not added at the end. We've built HIPAA-compliant systems for Gritwell and Dr. Reddy's, and the patterns are consistent across every healthcare engagement.
Yes. EHR integrations typically use HL7 FHIR, vendor-specific APIs, or both. The complexity depends on how much the vendor exposes and which version of their API is in production. Some integrations are well-documented; others require working directly with the vendor's implementation team. We scope EHR integration as a distinct workstream and tell you upfront what's possible, what's limited by the vendor, and what workarounds exist where the API doesn't reach.
A focused patient-facing application covering appointment booking, messaging, and care plans for a single clinical use case typically runs 3 to 5 months for a first production release. Full telehealth platforms with video consultation, scheduling, payments, and multi-role access take longer. We scope every engagement before we quote it. The right starting point is a conversation about your specific use case and constraints.
HIPAA sets the floor. Depending on your user base, payer relationships, and investor requirements, SOC 2 Type II, CCPA, or state-level privacy laws may apply on top. We design systems that can meet those requirements, and we'll flag where additional controls or audits are needed. If your team is pursuing SOC 2 certification, we'll work with your compliance auditor directly.
We've built clinical decision support tools and AI-assisted diagnostic features. For software that may qualify as a Software as a Medical Device, the FDA regulatory path depends on risk classification and intended use. We design systems with traceability and documentation practices that support a regulatory submission, and we'll flag early in scoping if your product is likely to require FDA review so you can engage a regulatory consultant before development begins.

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