AI solutions for healthcare, built for clinical environments.

We help hospitals and digital health teams ship patient CRMs, clinical AI tools, and HIPAA-ready automation — engineered to run where care happens.

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Projected healthcare AI market by 2030.

37% CAGR · Grand View Research, 2024

Healthcare organizations now use AI.

Up from 42% in 2020 · HIMSS, 2024

Reduction in clinician documentation work with AI scribes.

AMA / JAMA, 2024

Faster patient response time with workflow automation.

From our work with mid-size clinics

Common problems in healthcare technology.

Clinician documentation pile-up

Physicians spend two hours on EHR notes for every hour of patient care. Charting backlogs drive attrition and errors across the team.

Fragmented patient records

EHR, labs, imaging, pharmacy, and patient apps don’t talk to each other. Care teams reconcile records by hand.

Low-acuity cases jam the queue

A large share of ER visits and clinic calls could be safely routed elsewhere. Urgent cases wait while staff handle low priority.

Missed follow-ups and no-shows

No-show rates of 15–30% and missed post-discharge follow-ups drive readmissions and revenue leakage.

How Cloudmate fixes these problems.

Solves:Documentation pile-up

AI clinical scribe

Listens to the patient encounter and generates SOAP notes in the EHR — reviewed and signed by the physician. Cuts charting time by 60–80%.

Solves:Fragmented records

FHIR-native data layer

Unifies EHR, labs, imaging, and pharmacy into one patient view. Built on HL7 v2 and FHIR R4, with SMART on FHIR support.

Solves:Triage queue jam

AI triage copilot

Symptom-aware AI routes low-acuity cases to self-service or telehealth, frees clinical staff for urgent cases. Phone, chat, and web.

Solves:Missed follow-ups

Patient CRM with outreach

Schedules and sends follow-up reminders by SMS, voice, and email. Tracks engagement per patient. Cuts no-show rates 30–50%.

Healthcare applications we have shipped.

AI Clinical Scribe

Patient.record

A clinical record platform with an embedded AI scribe. Listens to encounters, generates SOAP notes, files them in the EHR for physician review and signature.

Cuts charting time by 60-80%

Full HIPAA-compliant audio handling

200+ production deployments

Built on Next.js, GPT-4-class LLMs, FHIR R4

The compliance standards we work with.

Healthcare data has its own bar. We build software that meets that bar from day one, not as an audit afterthought.

HIPAA-ready architecture from week one
Encryption, audit logs, and BAAs in place before code ships.
FHIR R4 and HL7 v2 native
Clinical data exchange in the formats your EHR already speaks.
Annual SOC 2 Type 2 audit
Security, availability, and confidentiality controls reviewed yearly.
GDPR-aligned data handling
EU clinical operations served with consent flows and data residency.

Services we bring to every healthcare engagement.

GEN AI · SERVICE

GenAI Development

Clinical copilots, scribes, and RAG systems grounded in EHR data.

GEN AI · SERVICE

AI Agent Development

Autonomous patient triage and clinical workflow agents.

CRM · SERVICE

CRM Modernization

HIPAA-compliant patient CRMs with EHR sync and follow-up automation.

CLOUD · SERVICE

Data Engineering

FHIR data lakes, clinical pipelines, and analytics for health systems.

The questions we get most.

Are your healthcare AI solutions HIPAA-compliant?

Yes. Every healthcare engagement is designed HIPAA-first — BAA signed before discovery, PHI never touches third-party APIs without zero-retention configuration, audit logs on every access, and role-based controls by default. We deploy on AWS, Azure, or GCP HIPAA-eligible services, or on-prem when PHI cannot leave your perimeter.

Can you integrate with our EHR — Epic, Cerner, Athenahealth, or custom?

Yes. We build EHR integrations via HL7 v2, FHIR R4, SMART on FHIR, and direct database connectors where needed. Common integrations include Epic (App Orchard), Cerner, Athenahealth, eClinicalWorks, and regional platforms. We work inside your existing integration engine (Mirth, Rhapsody) or build a new one.

How do you handle PHI in generative AI systems?

Three patterns, chosen per use case: (1) PHI redaction at ingest using Presidio or Azure TIUs before any LLM call; (2) private LLM deployment on AWS Bedrock / Azure OpenAI with BAA and zero-retention; (3) on-prem open-weight models (Llama, Mistral) when no PHI can leave your perimeter. Evaluation harnesses include PHI-leak tests in every release.

How much do healthcare software development projects cost?

Healthcare builds typically range from $60,000 for a focused clinical workflow automation to $350,000+ for a multi-clinic HIPAA-compliant CRM or AI platform. Cost drivers are integration scope (number of EHRs), compliance requirements, user roles, and whether PHI must stay on-prem. We provide a fixed-scope quote after a two-week discovery.

What’s your experience with clinical AI validation?

Every clinical AI system we ship includes a clinician-reviewed evaluation harness, held-out test set, bias analysis across demographic cohorts, and continuous monitoring for drift. We don’t deploy diagnostic AI without signed clinical governance sign-off. Our team includes a medical informaticist on every healthcare project.

Can you help us build a telemedicine or digital health platform?

Yes. We’ve built telemedicine platforms, digital therapeutics products, and care-coordination CRMs. Stack typically includes WebRTC for video, Twilio for SMS/voice, FHIR-compliant data models, and HIPAA-eligible cloud infrastructure. All with role-based access for clinicians, patients, and care coordinators.

Do you work with healthcare startups or only enterprise providers?

Both. We’ve shipped for 200-clinic health systems and 3-person digital health startups. Startups typically use our Fixed-Price MVP model to ship HIPAA-compliant v1 in 12–16 weeks. Enterprises usually run Dedicated Squad engagements for ongoing platform development.

How long does a HIPAA-compliant healthcare build take?

HIPAA compliance adds 2–4 weeks to any healthcare project — for BAA signing, risk assessment, security controls implementation, and audit logging. A standard clinical CRM or AI copilot ships in 14–20 weeks end-to-end, including compliance work. We don’t cut corners on security review to hit timelines.

Bringing AI into your healthcare organization?

Secure, compliant AI tools, built for your clinical and administrative workflows.

Email Ushello@cloudmates.co Call or WhatsApp+91 96243 00546