Kostenlos / Open SourceComputer Vision für die physische Welt entwickeln, trainieren und bereitstellen

Sieve verzeichnet 124 monatliche Besuche mit +1,6 % Wachstum gegenüber dem Vormonat und einem Preismodell „Preise auf Anfrage“. SuperAnnotate verzeichnet 386.034 monatliche Besuche mit +37,4 % Wachstum und einem Preismodell „Kostenlose Testversion, Preise auf Anfrage“.
Sieve is a data lab that supplies multimodal video, audio and interaction datasets — egocentric demonstrations, multi-camera studio recordings, robotics evaluations and large-scale media — to frontier AI teams.

SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
| Dimension / Kennzahl | ![]() | |
|---|---|---|
| Offizielle Domain | sievedata.com | superannotate.com |
| Preismodell | Preise auf Anfrage | Kostenlose Testversion, Preise auf Anfrage |
| Monatliche Besuche | 124 (124) | 386.034 (386.034) |
| MoM-Traffic-Delta |
|---|
| +2 (+1,6 %) |
| +105.047 (+37,4 %) |
| Primärmarkt und Anteil | 🌐 Global (—) | 🇺🇸 Vereinigte Staaten (31 %) |
|---|
| Direkte Besuche / Monat | 54 | 248.258 |
|---|
| Nutzerbewertung | 4,1 | 4,6 |
|---|
| Unterstützte Plattformen | Website | Website |
|---|
Sieve is a data lab that supplies multimodal video, audio and interaction datasets — egocentric demonstrations, multi-camera studio recordings, robotics evaluations and large-scale media — to frontier AI teams.
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.

SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
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.
Kostenlos / Open SourceComputer Vision für die physische Welt entwickeln, trainieren und bereitstellen

Kostenlos / Open SourceEchtzeit-Bild- und Video-APIs, agentisches DAM und Kreativ-Automatisierung in einer Plattform
#2
Starke Enterprise-Datenmarkierung und Agenten-Automatisierung, bietet jedoch eine andere kollaborative Oberfläche und Preisstruktur.

SpezialisiertExtensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility.
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.

Kostenlos / Open SourceMultimodale KI-Erkennungs-API für synthetische Bilder, Text, Audio, Video und Deepfakes

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

Exzellente multimodale Dateninfrastruktur für Computer Vision, bietet jedoch weniger umfassende Enterprise-Projektmanagement-Tools als SuperAnnotate.

Kostenlos / Open SourceEine universelle API für über 500 KI-Modelle und 1.000 Agenten-Tools

Kostenlos / Open SourceVideo-Dateninfrastruktur für Physical AI und Robotertraining
SpezialisiertStrong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.

Kostenlos / Open SourceLeistungsstarkes Open-Source-Datenmarkieren mit tiefgreifender Anpassbarkeit, erfordert jedoch Self-Hosting und bietet keine verwalteten Enterprise-Workflows ab Werk.

Kostenlos / Open SourceComputer Vision für die physische Welt entwickeln, trainieren und bereitstellen
Starke Enterprise-Datenmarkierung und Agenten-Automatisierung, bietet jedoch eine andere kollaborative Oberfläche und Preisstruktur.
SpezialisiertExtensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility.
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Kostenlos / Open SourceMultimodale KI-Erkennungs-API für synthetische Bilder, Text, Audio, Video und Deepfakes
SpezialisiertExceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.
Exzellente multimodale Dateninfrastruktur für Computer Vision, bietet jedoch weniger umfassende Enterprise-Projektmanagement-Tools als SuperAnnotate.
Kostenlos / Open SourceVideo-Dateninfrastruktur für Physical AI und Robotertraining
SpezialisiertStrong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.
Kostenlos / Open SourceLeistungsstarkes Open-Source-Datenmarkieren mit tiefgreifender Anpassbarkeit, erfordert jedoch Self-Hosting und bietet keine verwalteten Enterprise-Workflows ab Werk.