ClinicFrame vs Rep by Clarify: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ClinicFrame and Rep by Clarify — 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.
Rep by Clarify
Clarify
AI-native CRM that automates updates, follow-ups, and pipeline hygiene for founder-led startups.
Key features
- Automated Updates: Uses AI to capture signals from sales interactions and automatically update contact and deal records to reduce manual data entry.
- Smart Follow-ups: Generates and schedules context-aware follow-up tasks or messages based on conversation content and deal status to increase engagement.
- Pipeline Hygiene: Detects stale or at-risk deals, surfaces required next actions, and recommends prioritization to keep the sales pipeline healthy.
- Founder-Focused Workflows: Lightweight UX and prioritized automation designed specifically for founder-led teams to minimize CRM setup and maintenance overhead.
- Deal Prioritization: Scores or surfaces high-impact opportunities so small teams can focus efforts on deals most likely to close.
- Activity Capture: Continuously records and consolidates sales activities (calls, meetings, notes) to maintain an accurate timeline for each opportunity.
- Automated activity updates (auto-capture and log activities)
- Automated follow-ups and reminders
- Pipeline hygiene and cleanup automation
- Cloud-hosted SaaS CRM
- Developer integrations via SDKs and connectors (Go, Python, Node-RED/TypeScript)
- Multiple plan tiers including a free plan and Enterprise offerings
Best for
- Reducing CRM Data Entry: Automatically updating contact and deal records from sales interactions so founders spend less time on manual logging.
- Automated Follow-Up Sequences: Drafting and scheduling context-aware follow-ups after meetings or emails to maintain momentum on deals.
- Pipeline Cleanup and Management: Identifying stale opportunities and recommending next steps to improve forecast accuracy and sales throughput.
- Founder-Led Sales Execution: Enabling small founding teams to maintain a disciplined sales process without dedicating resources to CRM upkeep.
- Prioritizing Sales Work: Surfacing high-impact opportunities and next actions for limited sales capacity to maximize closed revenue.
- Founder-led startups automating CRM maintenance to focus on sales
- Small sales teams using automated follow-ups to increase conversion
- Engineering teams integrating CRM data via SDKs (Go, Python) into internal tools or pipelines
- Companies that need cloud-hosted, low-maintenance CRM with developer-friendly APIs and SDKs