Your unstructured data, ready for AI

MLtwist is the data operations platform that makes raw images, video, audio, text, and 3D files ready for AI: cleaned, converted, labeled, checked, and traced. Run it with your team, ours, or both.

Trusted by national labs, government agencies, and AI teams

  • Sandia National Laboratories
  • U.S. Department of Energy
  • Lawrence Berkeley National Laboratory
  • Stanford HAI
  • Carahsoft
  • Google Cloud Partner
  • AWS Partner
  • GumGum
  • Bobidi
  • Candam
  • Climatiq
  • TrackFly
  • Brunswick
  • Precedent

The platform

One platform from raw file to training set

Ingest from your storage, transform with Twists, pre-label with models, label and review, and ship versioned data with a Data ID Card — in one place, whoever does the work.

MLtwist · Data ID Card

A Data ID Card on every file

Where the data came from, which model and prompt pre-labeled it, who labeled it, and what rights come with it.

MLtwist · Review

Review at the file level

Approve, reject, and comment on each file so labelers know exactly what to fix before anything ships.

MLtwist · Split view

Check labels against the source

Play source and labeled video side by side to catch drift, missed objects, and class errors.

MLtwist · Twist AI Builder

Custom steps without a platform rebuild

Build a Twist for a new format, model, or pre-labeling prompt, and run it inside the same pipeline.

From raw file to training set, on the record

MLtwist is the control layer between your raw data and model training. It runs the same whether our team labels, yours does, or both — so review, lineage, and delivery work the same way.

  1. Raw data GCS · S3 · Azure
  2. Prepare Twists: clean · convert · pre‑label
  3. Label our team, yours, or both
  4. Review consensus + measured QA
  5. Training set versioned, with a Data ID Card

Featured case

Sandia prepared security-screening data in less than half the time

An empty body-scanner booth in a research lab, with a 3D scan on a monitor behind it

Sandia found more than 75 places where errors could creep into its checkpoint-screening datasets. MLtwist automated the cleaning, labeling, and packaging of its 3D scans, with every step versioned and traceable.

weeks to prepare screening data
8 → 3
error points closed
75+
Read the Sandia story
“Thanks to MLtwist's AI data pipelines, we were able to reinvest 50% of our data science spend to increase model performance, while the labeling quality beats any existing open source or commercial solutions we have tried.”
Dr. Soohyun Bae · CTO, Bobidi

Get your data ready for AI

Tell us what data you have and where it lives. We'll set it up on the platform, run by your team, ours, or both — and deliver it versioned, in your format.

Also available through Carahsoft and Google Cloud Marketplace.