Healthcare AI & software development, clinically precise.

    Diagnostic AI, clinical prediction models and patient-facing platforms engineered for accuracy, privacy and regulatory compliance.

    Book a Free Strategy Call
    Overview

    AI & software for healthcare

    Healthcare is where AI can do the most good and where mistakes cost the most. Models must be validated against clinical requirements, patient data must be protected end-to-end, and software has to fit into the real workflows of clinicians and administrators.

    ArrLink has built AI for healthcare in production: the AI backbone of Krinos AI's HIPAA-compliant dental diagnostics platform, from CBCT scan analysis to automated insurance claims, and a clinically precise ECG arrhythmia prediction model for Mythyaverse. We bring that experience to hospitals, clinics, health-tech startups and diagnostics companies.

    Our healthcare engineering process puts safety first: we involve clinicians early, validate models against representative patient data, keep a human in the loop for clinical decisions, and document data flows so your compliance team can sign off with confidence. Whether you are a health-tech startup building your first product or a provider modernizing operations, we help you move fast without cutting corners on patient safety.

    The Challenge

    What holds healthcare teams back.

    Clinical accuracy

    Models must be validated against medical benchmarks, not just general accuracy metrics.

    Data privacy & HIPAA

    Protected health information requires encryption, access control, audit trails and careful vendor choices.

    Administrative burden

    Clinicians spend hours on documentation, scheduling and insurance paperwork.

    Legacy systems

    EHRs, PACS and practice-management software rarely talk to each other cleanly.

    What We Build

    Solutions we deliver.

    Diagnostic & imaging AI

    Computer vision for scans and images, with clinician-in-the-loop review.

    Clinical prediction models

    Signal and tabular models — like ECG arrhythmia detection — validated for production use.

    Insurance & claims automation

    Automated claim preparation, eligibility checks and document extraction.

    Patient-facing agents

    Scheduling, intake and follow-up agents over chat, WhatsApp and voice.

    Clinical documentation AI

    Summarization and structured note generation that saves clinicians time.

    Health-tech platforms

    Secure patient portals, telehealth and practice-management software.

    Related Work

    Proof in production.

    Healthcare AI01

    Krinos AI

    AI-powered dental diagnostics platform

    The AI backbone of a HIPAA-compliant oral-healthcare platform, spanning CBCT scan analysis through to automated insurance claims.

    Computer visionHIPAA complianceClaims automation
    Clinical ML02

    Mythyaverse

    ECG arrhythmia prediction

    A clinically precise, production-ready model that detects cardiac arrhythmias from ECG signals, built against strict medical requirements.

    Signal processingDeep learningModel validation
    FAQ

    Questions, answered.

    Can't find what you need? Email info@arrlink.com.

    Do you build HIPAA-compliant healthcare software?

    Yes. We engineer healthcare systems with HIPAA-aware architecture — encryption in transit and at rest, role-based access, audit logging, BAAs with infrastructure providers and private model deployments where needed.

    Can AI be used for medical diagnostics?

    AI can support diagnostics — for example analyzing scans or ECG signals — with clinicians reviewing results. We've delivered dental imaging AI and ECG arrhythmia prediction models built against strict clinical requirements.

    Can you integrate with our EHR or practice-management system?

    Yes. We integrate through standard interfaces such as HL7 and FHIR where available, and through custom APIs or secure data pipelines for other systems.

    How long does it take to build a healthcare AI product?

    A focused first release — for example an AI-assisted workflow or a patient-facing agent — typically takes 6–10 weeks. Products involving new clinical models take longer because of data preparation and validation.

    Do you work with health-tech startups?

    Yes. We work with both health-tech startups and established healthcare providers, from MVPs to production platforms.

    Free Strategy Call

    Have a problem worth solving?
    Let's build it.

    Tell us what you're trying to build. In one 30-minute call we'll map the scope, the fastest path to production and a tailored proposal — no obligation.