Platform

The unstructured data operations platform for AI

MLtwist sits between your raw data and your training pipeline. Ingest, visualize, transform, pre-label, label, check, and version any data type in one place, with a record of everything that happened to it.

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Meet MLtwist

What the platform does, where it fits, and how teams use it to get unstructured data ready for AI.

The problem

AI data preparation is fragmented

Today's AI data work is spread across tools for storage, transformation, labeling, and QA. That sprawl creates hidden risks that directly affect model performance.

Tool sprawl

Storage, transformation, labeling, and QA each live in a different tool, and visualization, filtering, and sharing happen on someone's laptop.

Broken versioning

Datasets get copied between tools and machines until nobody is sure which version a model was trained on.

No governance

It's hard to say how data was changed, who handled it, or whether it met the quality bar — and those gaps show up in model performance.

Where MLtwist fits

The control layer between raw data and model training

Unstructured data is ingested, visualized, transformed, pre-labeled, validated, and versioned in MLtwist before it reaches training. Our data acquisition and labeling services extend it to the full lifecycle, from real-world capture to production-ready, annotated datasets.

Services, when you want them Data acquisition to data labeling, by our expert trainers
Raw data Your GCS, S3, or Azure storage
The MLtwist platform
  • Visualization
  • Transformation
  • Cleaning
  • Pre-labeling
  • Quality control
  • Versioning
ML training Versioned sets in your format
AI systems With a Data ID Card per file

Coverage

Every stage, covered

The platform does the processing, quality control, and record-keeping. Our people add collection and expert labeling when you need them.

Data collection
Services
Data processing
Platform
Pre-labeling
Platform & services
Labeling by expert trainers
Services
Quality control
Platform
Visualization in a shared workspace
Platform
Auditing and versioning
Platform

Data types

Any unstructured data, in any format

Image, text, audio, video, 3D, sensor, CSV, and more — labeled and delivered back in the format your pipeline reads.

  • Images
  • Video
  • Audio
  • Text
  • 3D
  • Sensor
  • CSV and spreadsheets
  • CAD and DICOS
See every feature

Integrations

Works with the tools you already use

MLtwist reads from and writes back to your storage, and plugs into the labeling tools your team already knows, so your data doesn't have to move.

All partners & integrations

Storage

  • Google Cloud Storage
  • Amazon S3
  • Azure Blob Storage

Labeling tools

  • Encord
  • Kili Technology
  • Datasaur
  • Dataloop
  • V7
“Bringing MLtwist to Google Cloud Marketplace will help customers quickly deploy, manage, and grow its platform on Google Cloud's trusted, global infrastructure.”
Dai Vu · Managing Director, Marketplace & ISV GTM Programs, Google Cloud

How you run it

Use the platform, or let us run it

The tooling, QA, and Data ID Card are the same whoever does the work.

Self-serve

Your team runs it

Your engineers and annotators work in MLtwist directly: run Twists, pre-label, label, review, and export.

ReadHybrid

Your team plus ours

Your specialists handle the hard cases and our expert trainers handle volume, in one queue with one QA process.

ReadManaged

We run it for you

Expert trainers, program management, and forward-deployed support, all on the same platform and the same audit trail.

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See MLtwist on your data

Tell us what data you have and where it lives. We'll show you the platform on it, and scope who runs it: your team, ours, or both.

How you buy Get started

Also available through Carahsoft and Google Cloud Marketplace.