How do you handle PHI in AI models?

All models process PHI within HIPAA-compliant infrastructure. We support on-premise and private cloud deployment. Data is encrypted at rest and in transit, and we never use client data to train shared models.

What if we need FDA clearance for our AI feature?

We provide guidance on FDA Software as a Medical Device classification and help structure your AI pipeline for regulatory submission. We have experience supporting clients through 510(k) and De Novo pathways.

Do you work with early-stage startups?

Yes. We have flexible engagement models including equity-friendly pricing for pre-Series A companies. We believe in building long-term partnerships and have seen several of our early clients through to successful raises.

How fast can you ship the first feature?

Typically 4-6 weeks from kickoff to production for a single AI feature. This includes integration, HIPAA compliance review, and testing. More complex features with custom model training may take 8-10 weeks.

Can your AI features be white-labeled?

Absolutely. Every module is fully brandable with your product identity. End users interact with your brand, not ours. We stay invisible in the background.

Digital Health & HealthTech

Build Smarter Health Products with Embedded AI That Scales

Your healthtech product needs AI features yesterday, but hiring an ML team takes 6 months and HIPAA compliance adds another layer. We embed production-ready AI into your platform so you ship faster without cutting compliance corners.

Explore the Approach Explore Challenges

Faster Feature Shipping

40%

Higher Patient Engagement

99.9%

Platform Uptime SLA

HealthTech Scale

Platform Intelligence Metrics

AI features embedded across a Series B telehealth platform

Symptom Triage Accuracy91%

Patient Retention78%

Provider Match Rate85%

Engagement Score82%

Industry Challenges

Scaling HealthTech Is Harder Than It Looks

Product-market fit is just the start. Regulatory pressure, data complexity, and enterprise buyer expectations create unique engineering challenges.

🚀

Pressure to Ship AI Features Fast

Competitors are announcing AI capabilities weekly. Your roadmap cannot wait for a 6-month ML hiring cycle.

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HIPAA Adds Engineering Overhead

Every new feature touching PHI requires security review, encryption layers, and audit trails that slow velocity.

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Enterprise Buyers Demand Compliance

Hospital and payer buyers run 200-question security assessments. One gap can kill a deal worth millions.

📱

Patient Engagement Is Stubbornly Low

Average health app retention drops 80% after 30 days. Generic push notifications and static content do not retain users.

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EHR Integration Is a Minefield

Every health system has a different EHR config. Building one-off integrations is expensive and unscalable.

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Proving Clinical Outcomes to Payers

Payers and self-insured employers want outcomes data, not feature lists. Without measurable impact, reimbursement stalls.

Our Solutions

AI Capabilities You Can Embed Today

Modular, API-first AI services designed to plug into your existing healthtech stack without architectural rewrites.

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Conversational Symptom Triage

NLP-powered chatbot that guides patients through symptom assessment and routes to the right care level.

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🗣️

Voice AI for Telehealth

Real-time transcription and clinical note generation during virtual visits, reducing provider documentation burden.

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🧠

Custom Clinical ML Models

Disease-specific prediction models trained on your dataset and optimized for your patient population.

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⚙️

Patient Journey Automation

Automated care pathways that trigger reminders, escalations, and content delivery based on patient behavior.

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📊

Outcomes Analytics Engine

Track clinical endpoints, generate real-world evidence, and produce reports that satisfy payer requirements.

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🛡️

Compliance-as-a-Service Layer

Pre-built HIPAA controls, consent management, and audit logging that wrap around your existing application.

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Ship AI Features Without the Compliance Headache

We help healthtech teams go from concept to HIPAA-compliant production in weeks, not quarters.

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HealthTech Results

What Series B Platforms Achieve

Aggregated outcomes from four digital health clients with 50K-500K monthly active users.

Faster AI Feature Delivery

40%

Higher 90-Day Retention

67%

Fewer Integration Bugs

$2.4M

Saved vs In-House ML Team

Impact Metrics

Impact Across the Product

How embedded AI improves metrics across acquisition, engagement, and clinical outcomes.

40%

Patient Engagement Lift

Personalized AI-driven nudges and content delivery increase 90-day retention from 22% to 31%.

Development Velocity

Pre-built AI modules with HIPAA wrappers eliminate months of security engineering per feature.

91%

Triage Accuracy

NLP symptom assessment matches physician triage decisions 91% of the time, reducing unnecessary urgent care visits.

Compliance & Regulations

Compliance That Accelerates Sales

Stop losing enterprise deals to compliance gaps. Our modules come pre-certified and audit-ready.

🔐

HIPAA / HITECH

Every AI module includes BAA coverage, PHI encryption, minimum necessary access, and complete audit trail generation.

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SOC 2 Type II Aligned

Security controls mapped to SOC 2 criteria so you can include our infrastructure in your own SOC 2 report.

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HITRUST CSF Ready

Control mappings provided for HITRUST certification, accelerating your assessment timeline by months.

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FDA & International

Guidance on FDA SaMD classification, CE marking for EU MDR, and international data transfer mechanisms.

Why OpenMalo

Why HealthTech Teams Pick OpenMalo

We think like product engineers, not consultants. Our job is to make your product better, not to generate reports.

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API-First Architecture

Every capability ships as a documented REST API with SDKs. Drop it into your stack without rearchitecting.

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Startup-Speed Delivery

We work in 2-week sprints with your team. First production feature live in 4-6 weeks, not 6 months.

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Compliance Built In

HIPAA controls are baked into every module. No separate compliance workstream needed.

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Outcomes-Focused

We help you instrument clinical endpoints from day one so you have the data payers and investors want.

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Equity-Friendly Pricing

Flexible engagement models for early-stage companies. We invest in relationships, not just contracts.

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White-Label Ready

All AI features are fully brandable. Your users see your product, not ours.

Get Started

Let Us Review Your Product Roadmap

Share your AI feature wishlist and we will show you what can ship in the next sprint.

Free AI feature feasibility assessment

HIPAA compliance gap analysis included

Integration architecture recommendation

Timeline and cost estimate in 3 business days

NDA signed before any discussion

Featured Case Study

HealthTech Success

Case Study

Telehealth Startup Boosts Retention 40% with AI

A Series B virtual care platform embedded conversational triage and personalized care nudges to improve patient outcomes.

40%

Retention Increase

91%

Triage Accuracy

Faster Feature Delivery

The Challenge

The Problem

Patient drop-off after initial consultation was killing unit economics and making it impossible to demonstrate outcomes to payer partners.

78% of patients did not return after first virtual visit

No automated follow-up or symptom monitoring between visits

Manual triage by nurses was a bottleneck limiting scale

Enterprise buyers rejected bids due to missing HITRUST controls

Our Approach: We embedded an NLP-powered symptom triage chatbot as the first touchpoint, automated personalized care plan nudges via SMS and in-app messaging, and wrapped the entire feature set in HIPAA-compliant infrastructure with SOC 2 audit trail support.

Read Full Case Study

Client Stories

What Our Clients Say

“OpenMalo shipped our AI triage feature in 5 weeks. Our internal estimate was 5 months. The quality was better too.

Priya Sharma

CTO, VirtualCare Health

“We closed our first health system contract within a month of adding their compliance layer. It removed the blocker entirely.

Marcus Johnson

CEO, CareLoop AI

“They think like product people, not vendors. Every suggestion made our platform better for patients and providers.

Emily Watson

VP Product, MedBridge Digital

FAQ

Frequently Asked Questions

Yes. Our modules are API-first and designed to integrate into existing healthtech stacks. We provide REST APIs with SDKs for major frameworks. Most integrations require minimal changes to your existing architecture.