We're the humans in your
human-in-the-loop.
TagneticAI LLP is a data labeling company built for teams developing AI. We turn raw images, video, text, audio and point clouds into clean, consistent training data, so your engineers can spend their time on models instead of managing annotation.
We believe great models are built on careful, well-understood data, and that this work is too often rushed or treated as an afterthought. Our approach is simple: learn your use case, agree on clear guidelines, and check every batch before it reaches you.
Make training data the easiest part of building AI.
Quality is the product
A dataset is only as good as its weakest label, so QA is part of the work, never an add-on.
Transparent by default
You see what we see: progress, accuracy and open questions, as they happen.
Your data stays yours
Access is limited to the people working on your project, and nothing is reused elsewhere.
Partners, not vendors
We learn your edge cases and grow with your roadmap, batch after batch.
Stop cleaning up bad labels.
Ship models with confidence.
The usual way
- Inconsistent labels that quietly erode model accuracy
- Engineers pulled off model work to manage annotators
- Endless rework because guidelines get lost in handoff
- Opaque vendors with no visibility into quality or progress
- Sensitive data passed around without clear controls
With TagneticAI
- Multi-layer QA with consensus review on every batch
- Dedicated annotators trained on your edge cases
- Living guidelines refined with your team in pilot rounds
- Transparent reporting on accuracy, throughput and delivery
- NDA-bound teams working in access-controlled workflows
Ready for training data
you can trust?
Tell us about your project and we'll recommend the right workflow, starting with a pilot on your own data.