Shortlist by what you need
Start here if you know why you are leaving Labelbox.
Want the closest match?
MercorMost similar to Labelbox in what it does, its category and its price.
Visit (opens Mercor in a new tab)Need a free plan?
Mistral AIHas a free plan, rated 4.5 out of 5.
Visit (opens Mistral AI in a new tab)Want the best rated?
RoboflowRated 4.4 out of 5 in our review, against 4.1 for Labelbox.
Visit (opens Roboflow in a new tab)
At a glance
Green means better than Labelbox, red means worse. Prices are starting prices per month.
| Tool | Our rating | Starts at | Free plan | Best for | Compare |
|---|---|---|---|---|---|
 LabelboxBaseline | 4.1 | Free | Yes | Runs reinforcement-learning data factories that power frontier models for the world's top AI labs | |
| Mercor | 4.1Same | Not listed | No | Reached a $10 billion valuation organizing 300,000 human experts to train frontier AI models | vs Labelbox |
 Surge AI | 4.3+0.2 | Not listed | No | Reached $1B+ ARR bootstrapped, with zero venture funding until mid-2025 | vs Labelbox |
 Scale AI | 4.0−0.1 | Free | Yes | Data-labeling infrastructure that trained early GPT and Waymo models, now backed by Meta | vs Labelbox |
 DatologyAI | 3.9−0.2 | Not listed | No | Automated data curation that strips redundant or harmful examples out of AI training datasets before a model ever sees them. | vs Labelbox |
 Dataloop | 3.8−0.3 | Not listed | No | Foundation-model integration, RLHF/RLAIF, and RAG workflows in one platform - claimed 20x faster AI development, trusted by NVIDIA, Ford, and Microsoft. | vs Labelbox |
| Roboflow | 4.4+0.3 | Free | Yes | End-to-end computer vision platform from annotation to production deployment | vs Labelbox |
| Mistral AI | 4.5+0.4 | Free | Yes | European frontier AI platform with open models, fine-tuning and enterprise deployment. | vs Labelbox |
 Tensorleap | 4.0−0.1 | Not listed | No | Debugs neural networks by finding the failure modes, not just reporting the metric. | vs Labelbox |
The alternatives in detail
In order of how closely each one matches Labelbox.
Mercor
4.1Not listed
vs LabelboxSame
Reached a $10 billion valuation organizing 300,000 human experts to train frontier AI models.
- Marketplace matching AI labs with vetted domain experts, not generalist crowdworkers
- Pool of roughly 300,000 professionals across engineering, medicine, law, and other fields
- Built for reinforcement-learning feedback and evaluation work, not just raw labeling
Domain-expert focus fits specialized training data needs generalist labeling vendors can't serve
Recruiting-fee pricing model means costs scale unpredictably with expert seniority and volume
Surge AI
4.3Not listed
vs Labelbox+0.2
Reached $1B+ ARR bootstrapped, with zero venture funding until mid-2025.
- Data annotation and reinforcement learning from human feedback for AI training
- Network of roughly 50,000 expert contributors worldwide
- Reached $1.2B in annualized revenue entirely bootstrapped, no funding until 2025
Trusted by nearly every major frontier AI lab for training data quality
Quote-based pricing requires a sales conversation, no published self-serve rates
Scale AI
4.0Free
vs Labelbox−0.1
Data-labeling infrastructure that trained early GPT and Waymo models, now backed by Meta.
- Data labeling and annotation infrastructure for machine learning training sets
- Self-serve tier with a free monthly allowance before per-unit pricing kicks in
- Enterprise volume pricing for large-scale labeling projects
Long operating history gives it deep experience across autonomous vehicle and LLM training use cases
Meta's large stake raises questions about neutrality for competing AI labs
DatologyAI
3.9Not listed
vs Labelbox−0.2
Automated data curation that strips redundant or harmful examples out of AI training datasets before a model ever sees them.
- Modality-agnostic data curation across text, image, and other data types
- Label-free algorithms for identifying redundant or harmful training examples
- Designed to cut training compute cost for a given model quality target
Research pedigree (Meta AI, DeepMind, MosaicML alumni, award-winning papers) backs the technical claims
No published pricing, and the sales-led model suits large labs more than small teams
Dataloop
3.8Not listed
vs Labelbox−0.3
Foundation-model integration, RLHF/RLAIF, and RAG workflows in one platform - claimed 20x faster AI development, trusted by NVIDIA, Ford, and Microsoft.
- Foundation model / GenAI integration and model management
- RLHF/RLAIF - reinforcement learning from human/AI feedback
- RAG (retrieval-augmented generation) workflow support
Combines data labeling, model management, and RLHF/RAG in one platform
No published pricing - requires a demo or consultation
Roboflow
4.4Free
vs Labelbox+0.3
End-to-end computer vision platform from annotation to production deployment.
- Dataset management and versioning for vision projects
- Model-assisted annotation to cut labelling time
- Augmentation and preprocessing pipelines
Covers the whole vision pipeline rather than one stage
Usage pricing climbs steeply at production inference volume
Mistral AI
4.5Free
vs Labelbox+0.4
European frontier AI platform with open models, fine-tuning and enterprise deployment.
- Frontier-scale models with genuinely open weights available
- Fine-tuning and customisation on your own data
- Self-hosted deployment as well as hosted API
Open weights allow self-hosting, unlike API-only providers
Frontier model rankings shift constantly; benchmark on your own tasks
Tensorleap
4.0Not listed
vs Labelbox−0.1
Debugs neural networks by finding the failure modes, not just reporting the metric.
- Failure mode and edge case detection
- Dataset curation driven by the findings
- Model optimisation guidance
Finds why a model fails, not just how often
No published pricing
FAQ
Questions people ask
Is Labelbox free?
Labelbox has a free plan.
What is the best free alternative to Labelbox?
Mistral AI is the highest-rated alternative here with a free plan (4.5 out of 5). Other free options: Roboflow, Scale AI.
How did you pick these alternatives?
We match tools on what they do, their category and their price, using the details in our directory. Ratings come from our reviews and reader reviews.