Precision Data Labeling for AI

Label data your models can trust.

TagneticAI delivers accurate, human-verified annotation for images, video, text, audio and 3D point clouds. Scale your training data without building a labeling team in-house.

Ground-truth data for every modality, from raw input to model-ready.

Trained annotators and multi-stage QA, so your engineers can focus on building models instead of managing labels.

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Image & Video

Pixel-accurate annotation for computer vision.

  • Bounding boxes, polygons & segmentation
  • Keypoints, landmarks & object tracking
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3D & LiDAR

Point clouds labeled for perception that holds up.

  • 3D cuboids & point-level segmentation
  • Sensor-fusion & frame-to-frame tracking
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Text & Audio

Structured language and speech data, at scale.

  • NER, classification & sentiment tagging
  • Transcription & speaker diarization
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GenAI & RLHF

Human feedback that aligns generative models.

  • Preference ranking & response rating
  • Prompt writing & output evaluation
Discuss your project
Industries

Labeling that speaks
your industry's language.

Every domain has its own edge cases. We build taxonomies, guidelines and QA checks around yours.

Autonomous Mobility

Perception data for self-driving, ADAS and delivery robots.

  • 3D cuboids
  • Lanes & drivable area
  • Sensor fusion

Healthcare & Life Sciences

Medical images and clinical text, labeled to strict guidelines.

  • Radiology & pathology
  • Segmentation
  • Clinical NER

Retail & E-commerce

Catalog data that powers search, discovery and recommendations.

  • Product tagging
  • Attribute extraction
  • Visual search

Agriculture & Geospatial

Field, drone and satellite imagery turned into usable labels.

  • Crop & weed detection
  • Aerial segmentation
  • Change detection

Manufacturing & Industrial

Visual inspection data that catches defects before customers do.

  • Defect detection
  • Pose estimation
  • Anomaly tagging

Finance & Documents

Document AI for invoices, claims, contracts and KYC forms.

  • OCR & transcription
  • Key-value extraction
  • Classification

Generative AI & LLMs

Human judgment for training and evaluating foundation models.

  • RLHF & ranking
  • SFT datasets
  • Safety evaluation

Don't see your industry?

Tell us about your data and we'll shape a labeling workflow around it.

Talk to us
Why TagneticAI

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
How We Work

One accountable pipeline,from raw data to ground truth.

TagneticAI teams scope, annotate, verify and deliver exactly the data your models need to learn.

  1. Scope
    • data audit
    • label taxonomy
    • guidelines
    • pilot batch
  2. Annotate
    • trained teams
    • tool setup
    • edge cases
    • throughput
  3. Verify
    • consensus review
    • gold sets
    • QA audits
    • accuracy reports
  4. Deliver
    • your format
    • secure transfer
    • iteration
    • scale-up

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.

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