AI healthcare app cost calculator
An AI feature layered onto an existing healthcare product — a triage chatbot or a document assistant — costs $70,000–$130,000. Ambient scribes, RAG over clinical content and predictive risk models with a proper evaluation harness land at $150,000–$350,000, and regulated-adjacent builds reach $700,000. Every configuration here assumes AI assists, humans decide: a clinician stays accountable for the output.
- 6 separately priced features
- Compliance costed as line items
- Itemised, not a single guess
- ±15–20% confidence range
At a glance
Baselines before features, compliance and multipliers.
- MVP$70K
- Standard$150K
- Advanced$350K
A typical configuration lands near $281,000 over 20–29 weeks.
Configure your ai healthcare app
Work through the steps below — scope, features, compliance and integrations — and you get an itemised estimate with a range, a midpoint and a delivery window.
What each scope tier includes
Every calculator starts from one of three baselines. This is what separates them.
| Scope | Baseline | Typical shape |
|---|---|---|
| MVP | $70K | Narrowest useful release — one workflow, one user type, launched fast. |
| Standard | $150K | The common case: multiple roles, reporting, and the integrations most buyers expect. |
| Advanced | $350K | Multi-site or enterprise scope, deeper interoperability and heavier non-functional requirements. |
Baselines are before feature adders, compliance programmes, integrations and the platform, design and team-location multipliers. The headline range for this calculator is $70K–$420K. See how the numbers are built.
Frequently asked questions
How much does an AI healthcare app cost to build?
An AI layer on an existing product costs $70,000–$130,000. A purpose-built AI product with an ambient scribe or RAG assistant, human review workflows and an evaluation harness costs $150,000–$350,000. Builds that touch regulated clinical decisions run $350,000–$700,000 before any FDA work.
Which LLM providers can handle PHI?
The PHI-safe options that will sign a BAA or run in your own boundary are OpenAI via Azure, Anthropic via AWS Bedrock, Google Vertex AI, Azure OpenAI, and on-prem Llama, Mistral or Mixtral. Expect $0.25–$15 per million tokens on hosted APIs, or $2,000–$8,000 per month in GPU capacity for a self-hosted open-weight model. Never send PHI to a consumer endpoint with no BAA.
Why is the evaluation harness the most expensive AI feature?
At $40,000 the eval harness is the difference between a demo and a product you can defend. It covers a labelled gold set, automated regression runs on every prompt or model change, hallucination and omission scoring, and drift monitoring in production. AI assists, humans decide — and the harness is how you prove the assistance is safe enough for a human to rely on. Taction runs it as a fixed $40,000 Eval Harness Build.
Related calculators
Need a number you can put in a board deck?
A fixed-scope quote comes out of a 4-week Discovery sprint, which starts at $45,000 and ends with an architecture, a backlog and a firm price.