Grátis / Código abertoConstrua, treine e implante visão computacional para o mundo físico

Sieve registra 124 visitas mensais com crescimento de +1,6% mês a mês e preços Preço sob consulta. SuperAnnotate registra 386.034 visitas mensais com crescimento de +37,4% e preços Teste gratuito, Preço sob consulta.
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.
| Dimensão / Métrica | ![]() | |
|---|---|---|
| Domínio oficial | sievedata.com | superannotate.com |
| Modelo de preços | Preço sob consulta | Teste gratuito, Preço sob consulta |
| Visitas mensais | 124 (124) | 386,03 mil (386.034) |
| Variação de tráfego mensal |
| +2 (+1,6%) |
| +105,05 mil (+37,4%) |
| Mercado principal e participação | 🌐 Global (—) | 🇺🇸 Estados Unidos (31%) |
|---|
| Visitas diretas / mês | 54 | 248,26 mil |
|---|
| Avaliação dos usuários | 4,1 | 4,6 |
|---|
| Plataformas suportadas | Site | Site |
|---|
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.
Grátis / Código abertoConstrua, treine e implante visão computacional para o mundo físico

Grátis / Código abertoAPIs de imagem e vídeo em tempo real, DAM agêntico e automação criativa em uma plataforma
#2
Rotulagem de dados corporativos robusta e automação de agentes, mas com uma interface colaborativa e estrutura de preços distintas.
#3
EspecializadoExtensive 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.

Grátis / Código abertoAPI multimodal de detecção de IA que sinaliza imagens, texto, áudio, vídeo e deepfakes sintéticos

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

Excelente infraestrutura de dados multimodais para visão computacional, mas carece de algumas ferramentas de gerenciamento de projetos corporativos da SuperAnnotate.

Grátis / Código abertoUma API universal para mais de 500 modelos de IA e 1.000 ferramentas de agente

Grátis / Código abertoInfraestrutura de dados de vídeo para IA física e treinamento de robôs
EspecializadoStrong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.

Grátis / Código abertoPoderosa rotulagem de dados open-source com profunda personalização, mas exige auto-hospedagem e carece de fluxos de trabalho corporativos gerenciados prontos para uso.

Grátis / Código abertoConstrua, treine e implante visão computacional para o mundo físico
Rotulagem de dados corporativos robusta e automação de agentes, mas com uma interface colaborativa e estrutura de preços distintas.
EspecializadoExtensive 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.
Grátis / Código abertoAPI multimodal de detecção de IA que sinaliza imagens, texto, áudio, vídeo e deepfakes sintéticos
EspecializadoExceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.
Excelente infraestrutura de dados multimodais para visão computacional, mas carece de algumas ferramentas de gerenciamento de projetos corporativos da SuperAnnotate.
Grátis / Código abertoInfraestrutura de dados de vídeo para IA física e treinamento de robôs
EspecializadoStrong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.
Grátis / Código abertoPoderosa rotulagem de dados open-source com profunda personalização, mas exige auto-hospedagem e carece de fluxos de trabalho corporativos gerenciados prontos para uso.