Iterative.ai
MLOps company behind open-source DVC, CML and Studio; now focused on multimodal AI data tooling for video, audio, PDFs and large datasets.
Our Verdict
Great open-source roots; commercial offering still finding its footing in the MLOps market.
Pros
- Open-source DVC and CML widely adopted
- Git-native workflows familiar to engineers
- New multimodal tooling fills real gap
Cons
- Studio commercial product less mature than rivals
- Git-centric UX confuses non-engineer data folks
- Strategy shifts have created product drift
Best for: Engineering-heavy ML teams that want Git-based data and experiment workflows
Not for: Data science teams preferring notebook-first UIs over Git semantics
When to Use Iterative.ai
Good fit if you need
- Versioning ML datasets and pipelines with DVC and Git
- Running ML experiments with CML in CI/CD pipelines
- Managing model registry and artifacts with DVC Studio
- Building reproducible ML workflows across distributed teams
Lock-in Assessment
Low 5/5
Lock-in Score 5/5
Pricing
Price wrong?Iterative.ai Pricing
- Pricing Model
- freemium
- Free Tier
- Yes
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Project Health
A
Health Score
15.6k 1.3k
Bus Factor
10
Last Commit
today
Release Freq
25d
Open Issues
168
Issue Response
N/A
License
Apache-2.0
Last checked: 2026-04-21
Community Discussion
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