AI Solutions for Healthcare & Medtech
The healthcare software company engineering production-grade clinical AI that ships past each pilot stage, built HIPAA-native from its very first engineering sprint.
TRUSTED BY CONGLOMERATES, ENTERPRISES, AND STARTUPS ALIKE
Clinical AI Software Designed to Ship in Real Production
Most healthcare software stalls in pilot. Kodexo Labs delivers HIPAA-native AI directly into live clinical environments, architected for HITECH and HL7/FHIR from day one, so your demo-winning architecture still runs in production a full year afterward.
Agentic AI and Multi-Agent Systems
Clinical workflow agents that handle prior authorization, ambient documentation, and care coordination on their own. The agents pass work across EHR, billing, and scheduling without a hand-off breaking, so a task that opens in one system closes in another, with no clinician left to stitch the steps back together by hand.
AI products shipped
Client retention rate
On Clutch
AI Systems Built for Each Clinical or Operational Care Setting
We build across the full healthcare value chain. From the exam room to the back office, our teams ship production AI for diagnostics, documentation, EHR integration, billing, devices, and patient access, engineered for HIPAA and HL7/FHIR from the first sprint.
Healthcare AI Builds That Shipped and Are Still Running Today
Diesel Laptops (Inc. 5000)
Fleet technicians were spending more time searching repair records than fixing trucks. Kodexo Labs built a self-hosted AI search system on AWS VPC that answers queries across 160,000 records in seconds.
85%
Search Time Reduction
160,000+
Repair Records Indexed
12 Weeks
Build to Production
Extensiv (Inc. 5000)
Extensiv's operations team waited on engineering for every data question. Kodexo Labs built an agentic LangGraph system that answers plain-English queries across 4 databases at 90%+ SQL accuracy.
90%+
SQL Accuracy
207
Tables
04
Databases
Teacher AI - Edtech Platform
Personalised tutoring had never scaled affordably. Kodexo Labs built Teacher AI to give every student a tutor in their native language, on demand. The in-house product now generates $5M+ in revenue.
50,000+
Users
30+
Countries
$5M+
Revenue
SmartMedHx (HIPAA-compliant)
Clinicians were losing nearly an hour daily to manual note-taking. Kodexo Labs built a HIPAA-compliant system that captures the patient interview and writes the clinical note automatically.
42
Providers
493
Patient Interviews
40%
Faster Interview Cycles
Sell The Trend
Sellers were typing keyword guesses and missing the products they wanted to source. Kodexo Labs rebuilt the visual-search engine so a single photo returns the right match instantly.
92%
CV accuracy (up from 65%)
88%
Speed Improvement
Production Clinical Engineering Standards
We hold every Kodexo build to these production standards before it goes live in a clinic setting.
Compliance First
HIPAA, HITECH, FDA 21 CFR Part 11, and SOC 2 Type II are architected into the system on day one. Our SmartMedHx build shipped HIPAA-compliant and patent-pending from the first release.
Production Reliability
Healthcare AI cannot lag or drop mid-session. Our Listen AI voice stack returns a response in under 100 milliseconds and holds 99.9% uptime, because the patient waits on the other end.
Clinical Accuracy
Vital Connect's monitor flags issues three times sooner and cuts diagnosis time by 40%. In a clinical build, detection speed and accuracy are the two key metrics we ever track against.
Healthcare Solutions Built for Every Stakeholder Across the Care Ecosystem
Not every healthcare buyer wakes up worried about the same thing. Clinicians, IT leaders, and medtech founders each carry a different bottleneck. We build for the one who lives with the system.
Clinical Teams
Documentation eats clinical hours. The chart catches up at home, the evening goes to notes, and burnout follows the cursor. We build ambient AI that captures the encounter and writes the structured note while the clinician sees the patient. SmartMedHx is the proof. 42 providers documenting visits without typing a word.
Health IT and Operations
Integration debt is the silent killer. Every EHR connector breaks at the seam, every pipeline drifts in production, every audit surfaces a new gap. We build HL7/FHIR pipelines that hold at scale, with SOC 2 controls and monitoring shipped alongside the code. Vital Connect is the proof. 40% faster time to diagnosis.
Medtech Founders
Building regulated software without regulatory expertise burns the runway. Every consulting invoice for FDA orientation is a sprint you didn't ship. We bring FDA 21 CFR Part 11 and IEC 62304 fluency to the first sprint, not the first audit. Listen AI is the proof. 99.9% uptime under medtech-grade reliability targets.
Why Partner with Kodexo Labs as Your Healthcare AI Development Provider?
Generic AI shops learn healthcare on your dime. We bring patterns shipped from real clinical builds, real audit cycles, and the real medtech regulatory work instead.
Capabilities Built to Fit the Full Healthcare Tech Stack
What this build genuinely looks like underneath the marketing. The four clusters below describe the architecture, pipelines, and regulatory artifacts each cluster produces, written for the CTO who needs assurances the system holds together at component level.
[1]
Clinical AI Systems
Architecture: streaming audio capture, on-device VAD, server-side ASR with medical-vocabulary fine-tuning, and a clinical NLP layer producing structured FHIR observations. Inference runs on autoscaling GPU pools behind a 100ms p95 latency budget. Agentic orchestration routes the output across note, billing code, and order entry. SmartMedHx is the reference implementation.
[1]
Compliance and Security
The pipeline produces a signed audit ledger as a first-class artifact. Every PHI read or write emits a structured event with actor, purpose, and data scope. Encryption is AES-256 at rest and TLS 1.3 in transit. Access control binds to EHR role hierarchies via OAuth 2.0 with SMART on FHIR scopes. Release gates include automated penetration testing.
[1]
Data and Integration
Integration targets: Epic via FHIR R4 and HL7 v2 over MLLP, Cerner via FHIR R4 and CCDA, Athena via FHIR R4. Streaming pipelines use Kafka with schema registry for clinical event flows. Retrieval layers use Pinecone or pgvector with provenance metadata preserved through ETL. Vital Connect's signal pipeline runs on this pattern at production scale.
[1]
Medtech and Device Software
Regulatory lifecycle: FDA 21 CFR Part 11 software validation, IEC 62304 Class B and C lifecycle documentation, and ISO 14971 risk management produced alongside the codebase. Device connectivity uses BLE, MQTT, and FHIR Device resources for wearables and bedside hardware. CE-marking technical files generate from the same evidence pipeline that runs the build.
The Tech Stack Behind Clinical AI That Ships
These are the tools we actually use in production healthcare builds. Not a marketing capability list, just the stack our engineers reach for on day one of a new project.
How We Engineer Compliant Clinical AI Platforms
A predictable process is itself a compliance asset in regulated healthcare. Every step produces the documentation a future audit will require.
Discovery and Scoping
Clinical workflow mapping with the practitioners who use the system daily. Interviews span clinical, IT, and compliance, plus an audit of EHR integrations and data sources. The output is a written requirements specification covering every compliance obligation.
Architecture and Compliance Design
System architecture, data flow diagrams, encryption planning, and API contracts are developed collaboratively in parallel. We identify the compliance frameworks: HIPAA and HITECH always, FDA wherever a device is involved, SOC 2 wherever the buyer requires this.
Agile Build and Integration
Sprint-based delivery on a two-week cadence with weekly clinician demos. HL7/FHIR integration and EHR connector work runs in parallel with the model training. Decisions are documented in plain English, so compliance and clinical teams remain aligned throughout.
Compliance and QA Review
HIPAA audit trail validation, penetration tests, access control checks, and FDA software validation where applicable. Independent QA runs against the step one specification. No release ships until every compliance gate passes and the evidence is captured first.
Launch and Live Monitoring
Production deployment with SLA-backed uptime targets and real-time monitoring dashboards. Inference quality, latency, and error rates are tracked from minute zero. Retraining cadence is set in the contract, not left to chance. Support matches the build cadence.
Frequently Asked Questions
A healthcare AI development company builds the production software that runs clinical AI in real environments. That includes documentation AI, diagnostic decision support, ambient voice AI, EHR integrations, and medtech device software. Each build is engineered for HIPAA, HITECH, and HL7/FHIR from the first sprint.
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