Use a Data Annotation Platform That Adapts to You

TensorAct lets you design custom annotation workflows, build flexible data labeling pipelines, and integrate AI agents all in one platform.

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Faster Annotation
Workflows

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Reduction in
Manual Effort

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More Consistent
Annotations

Data annotation platform interface

Trusted by teams across robotics, healthcare, and enterprise AI

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Logo WHY TENSORACT

A data annotation platform that goes beyond labeling.

We know what it's like when data annotation platforms and data labeling software make things harder than they need to be. So we built TensorAct to bring custom templates, workflows, and automation into one platform.

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Custom templates

Use custom labeling templates, without tool lock-in.

TensorAct runs the ones you already have, including Amazon SageMaker Ground Truth templates, so you control what annotators see and how each task runs.

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Workflow engine

Design annotation workflows that fit the way your team works

Create multi-step annotation pipelines with built-in review, validation, and quality checks. Unlike data annotation software that works in silos, TensorAct lets you control how tasks move between steps.

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Plugin-based automation

Bring AI agents into your annotation workflows through plugins.

AI-assisted annotation can lift productivity up to 80%. TensorAct makes it easy to connect models and AI agents as plugins for auto-labeling tasks, so annotators can focus on edge cases.

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Multi-step review & QA

Embed quality into every annotation workflow.

TensorAct simplifies building human-in-the-loop data annotation into your workflow, with layered validation and the option to have one or more reviewers per step who can approve, reject, or escalate a task.

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A data annotation platform for every data type your AI models need

Real-world AI training data is often multimodal. You could be handling robotics footage, clinical scans, and contract PDFs, and with TensorAct you can annotate all of it in one workspace.

Image annotation built for real-world computer vision.

Building autonomous systems, manufacturing inspection, or retail visual search? Each one starts with high-quality image labeling. TensorAct handles bounding boxes, polygon segmentation, keypoints, and classification, and supports DICOM medical imaging, so your computer vision models train on consistent labels across every dataset.

Bounding box Polygon Keypoint Classification DICOM masks
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Logo HOW IT WORKS

Manage your entire annotation workflow in one platform.

TensorAct takes you from raw files to model-ready training data

Train AI to understand the physical world.

Robots learn from movement, not just still frames. TensorAct brings perception data, object tracking, action labeling, and temporal annotation into one workflow for embodied AI.

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Flexible plans for teams of every size

Start with local uploads and grow into S3, team roles, and on-prem deployment.

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Annotation, workflows, and automation, all together.

Bring your data, your templates, and your AI agents into data annotation software that runs your existing setups, including SageMaker Ground Truth.

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Stop rebuilding
Start annotating