ClinicFrame vs Supernova: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ClinicFrame and Supernova — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
ClinicFrame
ClinicFrame
Ambient AI medical scribe that transcribes visits in real time and delivers a structured SOAP note within seconds.
Key features
- Ambient Voice Capture: Runs on the clinician's laptop and records the patient visit in real time without requiring extra hardware, in person or on telehealth.
- Specialty-Trained Transcription: Reaches 96% transcription accuracy across 15+ medical specialties using models trained on specialty-specific clinical language.
- Structured Note Generation: Produces SOAP notes for medicine and DAP/BIRP notes for behavioral health seconds after the visit ends, plus configurable custom templates.
- EHR Copy-In: Notes can be pasted into Epic, Athenahealth, Cerner and Healthie in under 30 seconds, so it slots into existing charting workflows.
- HIPAA-Aware Handling: Audio is discarded after the note is generated and a signed Business Associate Agreement is available on request.
- Flat Monthly Pricing: Priced per clinician per month with no per-hour surcharges, replacing traditional human scribing services.
Best for
- Primary Care Documentation: A family physician sees back-to-back patients and finishes the day with SOAP notes already drafted, cutting after-hours charting time.
- Behavioral Health Notes: A therapist runs 50-minute sessions and gets DAP or BIRP notes generated automatically instead of writing them up between clients.
- Telehealth Visits: A remote clinician on a video call has the conversation transcribed and structured without a separate device or human scribe on the line.
- Multi-Specialty Clinics: A clinic covering cardiology, dermatology and psychiatry gets specialty-appropriate note formatting from a single tool.
- Scribe Cost Reduction: A practice that has been paying hourly for human scribes switches to a flat monthly software subscription.
Supernova
Supernova
An encrypted Iceberg data lake with a built-in engine and MCP endpoint, so Claude and Codex can query every tool your company uses.
Key features
- MCP Endpoint for Claude and Codex: Point any MCP-speaking assistant at mcp.supernova.ai/mcp and every synced table becomes queryable in natural language.
- Encrypted Iceberg Lake: Open Apache Iceberg tables in object storage with table-level encryption, so the data stays in a portable open format you control.
- Zero-Copy Connections: Any engine that speaks Iceberg can read the lake directly, avoiding a second copy of your warehouse.
- Time Travel: Every table retains version history, so you can query the state of your data as of any earlier point.
- Built-In Frontier Models: Ask a question or describe a dashboard in plain language and Supernova generates the models and visualisations without a data team.
- TypeSQL: Schema-aware SQL that autocompletes across joins and type-checks before execution, catching errors the way a typed language would.
- Single-Binary CLI: One command-line tool connects sources, runs queries, tails live table changes and registers the MCP endpoint with Claude Desktop, from a laptop or CI.
- Git-Backed Dashboards: Models and dashboards are readable and writable through Git, putting analytics artefacts under normal version control.
Best for
- Conversational Revenue Analysis: Ask Claude which customers churned last quarter and why, with the answer computed over live Stripe and HubSpot tables.
- Warehouse Cost Reduction: Replace a multi-vendor pipeline-plus-warehouse stack with one usage-billed platform, which the vendor illustrates as $5,640/mo dropping to $540/mo for a hardware company.
- Dashboards Without a Data Team: Describe the dashboard you want in a sentence and have the models and charts generated for you.
- AI-Native Data Access Layer: Give internal agents a governed, encrypted single endpoint for company data instead of per-tool API integrations.
- Auditing Historical State: Use table version history to reconstruct what the numbers looked like before a pricing or schema change.
- CI-Driven Data Workflows: Drive connections, queries and change tailing from pipelines using the single CLI binary.