Kili vs Supervisely: Which is Better in 2026?
Choosing between Kili and Supervisely comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.
Bottom line: Kili is our overall pick for AI data labeling workflows. Pick Supervisely if you need its specific feature set.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
Kili
The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets.
Best for you if:
- • You want to try before committing
- • Builds high-quality training data for AI/ML models 10x faster.
- • Supports diverse data types and scales annotation teams from 1 to 500+ collaborators.
Supervisely
Curate, label, and build production computer vision models in one comprehensive platform.
Best for you if:
- • End-to-end platform for computer vision development.
- • Comprehensive data labeling tools for various data types (images, video, LiDAR, DICOM).
| At a Glance |  Kili |  Supervisely |
|---|---|---|
Starts at | FreeFree tier available | Custom |
Best For | AI Data Labeling | AI Data Labeling |
Rating | 4.7/5 | 4.7/5 |
Free plan | Yes | No |
Choose Kili or Supervisely?
Choose Kili if
The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets.
- Accelerates data labeling and iteration cycles significantly
- Supports a wide range of complex data types and specialized formats
- Provides robust collaboration and quality control features for large teams
- You want a free tier before you commit
Choose Supervisely if
Curate, label, and build production computer vision models in one comprehensive platform.
- Provides a complete data treatment pipeline for computer vision.
- Offers flexible deployment options, including self-hosted instances.
- Highly responsive and supportive customer service and development team.
| Feature | Kili | Supervisely |
|---|---|---|
| Pricing Model | Freemium | Paid |
| User Rating | ★4.7/5 53 reviews | ★4.7/5 10 reviews |
| Categories | AI Data LabelingData & Databases | AI Data LabelingComputer Vision |
In-Depth Analysis
Kili
The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets.
Kili's pricing model is opaque beyond the free tier, making it difficult to assess fairness.
Watch out
Custom pricing for Grow and Enterprise tiers
Strengths
- +Accelerates data labeling and iteration cycles significantly
- +Supports a wide range of complex data types and specialized formats
- +Provides robust collaboration and quality control features for large teams
- +Offers flexible deployment options and strong security compliance
- +Integrates well with existing machine learning infrastructure
Weaknesses
- -No specific cons mentioned in the provided text.
Key features
Supervisely
Curate, label, and build production computer vision models in one comprehensive platform.
Supervisely's pricing, with only an 'Enterprise' tier available via 'Contact us', makes it difficult to assess fairness.
Watch out
Likely high minimum spend for custom solutions.
Strengths
- +Provides a complete data treatment pipeline for computer vision.
- +Offers flexible deployment options, including self-hosted instances.
- +Highly responsive and supportive customer service and development team.
- +Extensive labeling capabilities for diverse data types, including medical and 3D.
- +Strong ecosystem with SDK/API for automation and integration.
Weaknesses
- -Team scaling gets expensive fast because the Pro plan starts at 199 euros per month but each additional full member costs 385 euros, so growing a labeling team quickly multiplies the bill.
- -Advanced modality capabilities are paid add-ons that stack on top of the base subscription, with Image Max and Video Max at 99 euros each, Medical Max at 149 euros, and Cloud Max at 399 euros, so a fully featured setup costs well beyond the headline price.
- -The free Community tier is tightly capped at 5 GB storage, 10,000 files, and 2 team members, and it archives inactive projects after 30 days, making it viable only for individuals or small experiments.
- -Essentials like SSO, on-premise deployment, and custom Python apps are locked behind the custom-priced Enterprise tier rather than included in the paid Pro plan.
Key features
Pricing: Kili vs Supervisely
| Plan | Kili | Supervisely |
|---|---|---|
| Tier 1 | $0/month Free Trial | Contact us Enterprise |
| Tier 2 | Custom Subscription Grow | N/A |
| Tier 3 | Custom Contract Enterprise | N/A |
Pricing verified from each vendor's public pricing page. Compare in detail on Kili pricing and Supervisely pricing.
Who Should Use What?
On a budget?
Kili has a free tier. Supervisely is paid only.
Go with: Kili
Want the highest-rated option?
Kili: 4.7/5 (53 reviews). Supervisely: 4.7/5 (10 reviews).
Go with: Kili
Value user reviews?
Kili: 53 reviews (4.7/5). Supervisely: 10 reviews (4.7/5).
Go with: Kili
3 Questions to Help You Decide
What's your budget?
Kili is freemium. Supervisely is paid. Kili lets you start free.
What's your use case?
Both are ai data labeling tools. Compare their specific features to decide.
How important are ratings?
Both are rated 4.7/5.
Key Takeaways
Kili
- Larger review base (53 reviews)
- Free tier available
- Our pick for this comparison
Supervisely
- Choose if you want curate, label, and build production computer vision models in one comprehensive platform
The Bottom Line
Kili is our pick.
Frequently Asked Questions
Is Kili or Supervisely better?
Kili is rated in our evaluation. Kili is freemium and Supervisely is paid.
What are Kili and Supervisely used for?
Kili: The most robust annotation tool for building powerful AI with high-quality, trustworthy datasets.. Supervisely: Curate, label, and build production computer vision models in one comprehensive platform..
What does Kili cost vs Supervisely?
Kili is freemium (free tier + paid plans). Supervisely is a paid tool. Visit their websites for detailed pricing.