Firemetrics

What is Firemetrics?

Firemetrics is a clinical data repository for hospitals that stores data from many source systems as relational FHIR in one transactional store. Hospital IT teams can query live data with plain SQL, applications connect through a FHIR R4 API and SMART on FHIR, and AI assistants or agents connect through an MCP server that inspects the schema, builds the query and displays the steps it took. Terminology services such as LOINC, SNOMED and ICD-10 are built in. On top of the data layer sit tools for daily work, including Studio, dashboards, a patient viewer and FLAME, a local AI that answers questions about clinical data in everyday language. Access is controlled: IT approves each connection, roles and permissions apply, and every SQL, FHIR and MCP access is logged. It can run in a commercial cloud, on-premises or in a hybrid setup. Pricing is not published; the team offers technical deep-dives on request.

Use cases

• Unify hospital source system data in one store
• Query clinical data with SQL
• Connect AI assistants to clinical data
• Ask clinical data questions in plain language
• Build real-time dashboards on live data
• Expose data to SMART on FHIR apps
• Link imaging data with FHIR records

Who it's for

• Hospital IT teams
• Clinical data scientists
• Healthcare analytics teams
• Hospital clinicians

Why use Firemetrics

• One shared data layer means each new AI tool connects through standard interfaces instead of a separate integration.
• Data stays in open standards and can be read with SQL or FHIR even if you change vendors.
• IT decides which application or AI tool can see which data, and every access is logged.
• Analysts query live data directly, without waiting for nightly batches.
• Deployment can be cloud-hosted, on-premises or hybrid to match hospital requirements.

Firemetrics features

• Relational FHIR storage with transactional CRUD
• SQL queries on live data without a separate warehouse
• FHIR API facade with SMART on FHIR app launch
• MCP server for AI assistants and agents
• FLAME local AI for natural-language queries
• Real-time analytics with SQL and Grafana dashboards
• DICOM ingest, storage and linking with FHIR
• Built-in terminology services including LOINC, SNOMED and ICD-10
• Full-text search for AI workflows
• Roles, permissions and audit logs for SQL, FHIR and MCP access
• Cloud, on-premises or hybrid operation

Firemetrics integrations

• Grafana
• Claude

How to get started with Firemetrics

1. Connect source systems such as EHR, LIS, RIS, PACS, ERP and CSV files once to the repository.
2. Data is stored as relational FHIR with terminologies built in.
3. Approve which applications, BI tools or AI assistants can access which data through SQL, the FHIR API or MCP.
4. Use Studio, dashboards, the patient viewer or FLAME for daily work, or connect your own tools.

Firemetrics limitations

• Pricing is not published and is discussed with the team
• Aimed at hospitals rather than individual users
• Connecting source systems such as EHR, LIS, RIS, PACS and ERP is part of setup

Firemetrics pricing

Firemetrics is sold on custom quotes, so its prices aren't published.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Firemetrics alternatives

The main Firemetrics alternatives listed on Debuly are HEAVY.AI, PandasAI, Weaviate, Gradio, Metorial and Vanna. The table compares pricing and platforms; order is A–Z.

1. 

   Gradio

   Open source Python library for turning machine learning models into web apps and demos that you can share by link.

   Developer platformsCodingChat assistants
   Open sourceVisit Gradio (official site)
2. HA

   HEAVY.AI

   GPU-accelerated analytics database and visual analytics platform for large geospatial and time data, with natural-language queries.

   Developer platformsResearch and search
   FreemiumVisit HEAVY.AI (official site)
3. 

   Metorial

   Control plane for AI agents with 1,000+ managed MCP integrations, per-user permissions, SSO and audit logs behind one connection URL.

   Developer platformsAutomation and agents
   FreemiumVisit Metorial (official site)
4. 

   PandasAI

   Ask questions of your data in plain language and get charts and answers, as an open source Python library and a hosted analyst called Annie.

   Developer platformsProductivityResearch and search
   FreemiumVisit PandasAI (official site)
5. 

   Vanna

   Open-source Python framework for building user-aware AI agents, such as SQL data analysts, with an optional managed cloud.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Vanna (official site)
6. 

   Weaviate

   Open-source vector database with hybrid search and a managed Weaviate Cloud for semantic search, RAG and recommendations.

   Developer platformsResearch and search
   FreemiumVisit Weaviate (official site)

Firemetrics FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from firemetrics.ai · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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