Building the Future of AI Data Annotation Workflows
We spent years fighting annotation tools before we built one. TensorAct is the data annotation platform we wanted, with custom templates, structured review, and automation that adapts to how your team already works.
Our Mission
Every AI team deserves annotation workflows that fit how they actually work. That means being able to use the custom templates you already have, build review into the process, and control when automation applies. Our mission is to put that within reach for everyone, not just teams with the budget to build it.
Our Vision
You shouldn't have to compromise between flexibility, scalability, and usability when annotating data. We've watched teams lose time to limited customization, fragmented workflows, missing review systems, and platforms that get expensive to scale. TensorAct closes that gap. Our vision is to make advanced annotation infrastructure more accessible across robotics, healthcare, and multimodal AI.
Trusted by teams across robotics, healthcare, and enterprise AI
Teams building AI systems across industries use TensorAct to annotate image, video, text, audio, and PDF data.
FAQs
Your Questions about TensorAct, Answered
Anyone labeling data for AI, from a solo researcher on a first dataset to enterprise teams running production pipelines. It handles image, video, text, audio, PDF, and DICOM, with the same workflow tools at every scale.
Most platforms make you pick between customization and structure. You get both here, with custom templates, a workflow engine, plugin automation, and multi-step review in one system.
Yes. TensorAct runs custom labeling templates, including Amazon SageMaker Ground Truth setups, so you don't rebuild what already works.
You can build reviews into any annotation workflow on TensorAct. Assign one or more reviewers per step, add validation layers, and route or escalate tasks based on each decision.
Yes, on the Enterprise plan, along with advanced prebuilt templates, bundled plug-in modules, and dedicated professional services hours.
We spent years fighting annotation platforms that were either too rigid or too expensive to scale. Rather than pick one, we built the one we actually wanted.
Data annotation that fits how you work.
Bring your data, your templates, and your AI agents into a data annotation platform that adapts to how your team already works.