Free / Open-sourceBuild, train, and deploy computer vision for the physical world

Sieve records 124 monthly visits with +1.6% month-over-month growth and Contact for Pricing pricing. SuperAnnotate records 386,034 monthly visits with +37.4% growth and Free Trial, Contact for Pricing pricing.
The data lab for real-world intelligence
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | sievedata.com | superannotate.com |
| Pricing Model | Contact for Pricing | Free Trial, Contact for Pricing |
| Monthly Visits | 124 (124) | 386.03K (386,034) |
| MoM Traffic Delta |
| +2 (+1.6%) |
| +105.05K (+37.4%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (31%) |
|---|
| Direct Visits / mo | 54 | 248.26K |
|---|
| User Rating | 4.1 | 4.6 |
|---|
| Supported Platforms | Website | Website |
|---|
The data lab for real-world intelligence
First-person recordings of economically valuable physical work, paired with hand-pose, motion and synchronised sensor annotations.
Multi-camera video and audio collection with bespoke rigs and controlled environments built to a client's specification.
Both simulated and real-world test suites that measure how well robot policies perform across tasks and conditions.
Petabyte-scale synchronised video and audio datasets, including published engineering work on embedding a billion videos for retrieval.

AI data infrastructure for building production-grade models
One configurable annotation surface for image, video, text, and audio projects, so multimodal datasets can be labeled without switching tools.
Search, filter, and inspect datasets to find the examples that will most improve a model, then route them into targeted annotation or review queues.
Dashboards for annotation volume, reviewer agreement, and project progress, plus advanced analytics on upper tiers for program-level reporting.
Metered orchestration capacity for running annotation, evaluation, and data-processing workloads, scaled by plan from roughly 1K to 10K compute hours.
Free / Open-sourceBuild, train, and deploy computer vision for the physical world

Free / Open-sourceReal-time image and video APIs, agentic DAM and creative automation in one platform
#2
Strong enterprise data labeling and agentic automation, but offers a distinct collaborative interface and pricing structure.

SpecialistExtensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility.
The data, evaluations and systems behind AI that has to be right.

Free / Open-sourceMulti-modal AI detection API that flags synthetic images, text, audio, video and deepfakes

SpecialistExceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.

Excellent multimodal data infrastructure for computer vision, but lacks some of SuperAnnotate's broader enterprise project management tools.

Free / Open-sourceOne universal API for 500+ AI models and 1,000+ agentic tools

Free / Open-sourceVideo data infrastructure for physical AI and robot training
SpecialistStrong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.

Free / Open-sourcePowerful open-source data labeling with deep customization, but requires self-hosting and lacks out-of-the-box managed enterprise workflows.

Free / Open-sourceBuild, train, and deploy computer vision for the physical world
Strong enterprise data labeling and agentic automation, but offers a distinct collaborative interface and pricing structure.
Free / Open-sourceMulti-modal AI detection API that flags synthetic images, text, audio, video and deepfakes
SpecialistExceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.
Excellent multimodal data infrastructure for computer vision, but lacks some of SuperAnnotate's broader enterprise project management tools.
Free / Open-sourceVideo data infrastructure for physical AI and robot training
SpecialistStrong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.
Free / Open-sourcePowerful open-source data labeling with deep customization, but requires self-hosting and lacks out-of-the-box managed enterprise workflows.