Avoma vs Roboflow Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
Startup
- Up to 25 Paid Seats
- Unlimited Free View-only Seats
- Unlimited 1:1 Scheduling
- Automatic Video Recording
- Unlimited Real-time Transcription
- Unlimited AI Summary Notes
- "Ask Avoma" for a Meeting
- AI Email Follow-ups
- Auto Save Notes to CRM Records
- Dialer Integration
Organization
PopularEnterprise
Conversation Intelligence
- AI Coaching Recommendations
- AI Call Scoring
- Smart Trackers
- Global "Ask Avoma"
Public
- 2 users
- Community Support
- Data labeling suite w/ AI features
- Model training
- Workflow builder
- Cloud hosted deployment
- Edge device sandbox
Core
Popular- 3 users
- Community Support
- Private data & models
- Training analytics
- Model evaluation
- Preprocessing & augmentations
- Train concurrent models
- Download model weights
Enterprise
- Enterprise Support
- Deploy to the edge with commercial Inference model license
- Priority access to faster cloud GPUs
- RBAC with annotation review
- Workflow versioning
- Model monitoring
- Filter model evaluation by tag
Avoma vs Roboflow FAQ
- Which one is cheaper?
- Avoma starts lower at $19/mo, compared to $99/mo for Roboflow.
- Can I use either one for free?
- Roboflow has a free plan. Avoma doesn't — though they do offer a free trial.
- How do they charge?
- Different approach here. Avoma uses per-seat pricing, while Roboflow goes with hybrid. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. Avoma: Avoma sits mid-market — cheaper than heavyweight revenue intelligence platforms like Gong or Chorus, but pricier than bare-bones transcription tools. They're positioning as the value pick for teams that want conversation intelligence AND meeting scheduling/notes in one tool, without paying enterprise-software prices. Roboflow: At $99/mo for the paid entry tier, Roboflow is priced to be approachable for small teams, not a budget tool but nowhere near enterprise-scale MLOps pricing either. They're clearly fishing for the same startups and mid-market teams that might otherwise stitch together open-source CV tools, betting that convenience beats DIY.
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