Taction Software is a healthcare AI development company that has built HIPAA-compliant software and EHR integrations since 2013. We’ve shipped 785+ healthcare implementations, 200+ EHR integrations, and maintain zero HIPAA findings across every engagement we deliver.
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Taction started building healthcare software in 2013 — before ChatGPT existed. Our Mirth Connect integration practice predates the modern AI industry, giving every engagement a foundation in HL7 and FHIR most AI shops never had time to build.
We’ve shipped 785+ healthcare implementations to production, including 30+ AI features live in clinical settings since 2023 — ambient documentation, AI medical coding, predictive deterioration, and AI prior authorization among them.
Taction has delivered 200+ EHR integrations across Epic, Cerner-Oracle, Athena, and Allscripts, spanning FHIR R4, HL7 v2, CDA, and SMART on FHIR — both read and write-back, not just read-only reporting feeds.
Across 785+ implementations, Taction has zero adverse findings on HIPAA, SOC 2, or HITRUST reviews of shipped software — a track record built by designing every engagement for audit from day one.
Taction holds signed Business Associate Agreements with OpenAI, Anthropic, AWS Bedrock, and Google, each configured for zero data retention. Most AI shops claim BAA coverage; we can share redacted copies with prospective customers under NDA.
Imaging AI, autonomous diagnosis, and clinical-decision-mandating AI usually trigger FDA Software as a Medical Device rules. Taction scopes the SaMD pathway assessment up front, so the requirement surfaces in week one, not month six.
Every engagement runs through five fixed-price gates: Prototype, Refine, Operate, Observe, Formalize. Pricing runs from a $45K Discovery Sprint to $225K production deployments, with no surprise budget conversations mid-engagement — see the full sprint breakdown.
A working concept on real or de-identified clinical data, validated with clinician users, ending in a written go/no-go recommendation for production. Taction’s Discovery Sprint carries a 100% satisfaction guarantee — approve it or don’t pay.
Deployable code, an evaluation harness on your institution’s data, audit logging, BAA paperwork, and override-and-audit UX — production-grade architecture, not a demo. See how our evaluation harness build works.
An MVP integrated with one EHR — Epic, Cerner, Athena, or Allscripts — via SMART on FHIR or FHIR API, with monitoring dashboards and BAA paper trail ready to take to your CMIO for a clinical pilot.
Full production deployment with MLOps, model versioning, and drift monitoring. A clinical eval harness runs on live traffic, so post-launch optimization is based on real clinician override patterns, not assumptions.
Quarterly model retraining, drift remediation, and new use-case scoping, plus SOC 2 and HITRUST audit support. Dedicated retainer tiers run from $7K to $45K+ per month depending on scope.
Most healthcare AI pilots in 2024–2025 never reached production. The ones that did took 3x longer and cost 2–4x more than initial scope — because generalist AI shops stall the moment EHR integration and BAA coverage enter the picture.
The pattern is consistent: generalist teams build convincing prototypes but stall when the engagement needs EHR integration, audit logging, and clinician adoption. Taction tells you in week four if a build can’t reach production — not month seven.
Healthcare AI is roughly 80% healthcare engineering and 20% AI engineering — EHR integration, HIPAA compliance, clinician workflow, and audit trails outweigh model selection. Most AI-first shops have those proportions backwards, which is where engagements break.
Taction doesn’t ship prototypes that demo well and stall at production. We ship deployments built to survive SOC 2 audits and HITRUST reviews — with a written go/no-go recommendation before you commit further budget.
Compliance isn’t retrofitted at Taction — SOC 2 and HITRUST audit-ready documentation, and BAA coverage on every AI inference path, are built into the architecture from day one, not added after a finding.
You get a fixed price, fixed scope, fixed timeline, and a team that has shipped this exact category of feature before. You don’t pay Taction to learn FHIR or discover the FDA SaMD pathway six months in.
Every Taction engagement is fixed-price. Time-and-materials structures reward slowness; we structure pricing around delivery instead, so the incentive is to ship the PROOF Framework gates on time, not to extend billable hours.
PHI flowing through an AI inference path without a signed Business Associate Agreement is a HIPAA exposure. Taction won’t ship that configuration, regardless of timeline pressure or customer preference.
Clinical AI without override capture is a malpractice risk and an audit failure waiting to happen. Override-and-audit UX — logging every clinician decision to accept, edit, or reject an AI output — is non-negotiable on every build.
The Taction moat is healthcare specialization. We don’t take general-purpose AI, fintech, or e-commerce engagements that happen to want AI features — staying healthcare-only keeps the team sharp on Epic, FHIR, and HIPAA, not spread thin.
Imaging AI, autonomous diagnosis, and clinical-decision-mandating features usually trigger FDA SaMD rules. Taction scopes the $30K pathway assessment up front rather than let a customer discover the requirement mid-build.
The Discovery Sprint carries a 100% satisfaction guarantee: if the working concept doesn’t earn a written go/no-go for production, Taction doesn’t get paid. The risk of a stalled prototype sits with us, not the customer.
Generalist AI shops ship prototypes; Taction ships production deployments. The difference shows up at month four, when the prototype has to integrate with Epic, sign a BAA, pass a SOC 2 audit, and survive clinician override patterns.
The $45K, 4-week Discovery Sprint costs about the same as most AI shops charge for discovery. The difference: working code on real data, a written go/no-go, and a 100% satisfaction guarantee — pay only if you approve it.
Taction holds signed Business Associate Agreements with OpenAI, Anthropic, AWS Bedrock, and Google, each configured for zero data retention. We share redacted copies with prospective customers under NDA — most AI shops can’t produce the documents at all.
Across 785+ healthcare implementations shipped since 2013, Taction has had zero adverse findings on HIPAA, SOC 2, or HITRUST reviews of shipped software — the result of designing every engagement for audit from day one, not an accident.
FDA Software as a Medical Device rules apply to AI that diagnoses, screens, or directly influences an individual patient’s treatment. Ambient documentation, coding, and scheduling AI usually don’t qualify; imaging and autonomous-diagnosis AI usually do.
Yes — the $45K Discovery Sprint is the recommended entry point: four weeks to a working concept and a written go/no-go for production, with a 100% satisfaction guarantee. From there, you decide whether to proceed to Refine.
Ready to ship healthcare AI without breaking HIPAA? Book a free 30-minute architecture call and we’ll scope your use case, EHR integration path, and the right PROOF Framework tier for your timeline.
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