Resources
Learn how training data gets made
Videos, webinars, guides, and articles from the team that labels and prepares it every day.
The AI Minute Shorts
Short videos on the data behind AI: synthetic driving, low-resource languages, brand safety, and more.
Explore
Events & webinars
Where to meet us, and the Sandia National Laboratories webinar on AI data complexity.
Explore
Downloads
The Ultimate Guide to AI Data Pipelines, our whitepaper with Google, and the 2024 trends report.
ExploreNewsroom
The latest from MLtwist
News, events, insights, and case studies in one list.
- Insights
Multi Signal Data Labeling: Labels Based on Everything You Know
- Insights
Prompts Are the New Bounding Boxes: Human-in-the-Loop for Synthetic Data
- Insights
How Companies That Scraped the Web Before 2022 Got Lucky
- Case study
Maritime Company Uses MLtwist for Nationwide Video Data Collection
- News
Candam Tech Chooses MLtwist Data Solutions: Tech + Workforce
Industry insights
Articles on AI data work
Multi Signal Data Labeling: Labels Based on Everything You Know
Data labeling is usually pictured as one file and one annotation. The harder, more valuable work labels a file using every other signal that surrounds it. Here is why multi signal labeling is becoming table stakes.
ReadPrompts Are the New Bounding Boxes: Human-in-the-Loop for Synthetic Data
Generating data doesn't remove people from the loop. Instead of drawing boxes, they write prompts, set variables, and review the results. The work looks surprisingly similar to data labeling.
ReadHow Companies That Scraped the Web Before 2022 Got Lucky
Since generative AI went mainstream, more of the web is synthetic. Companies holding web data collected before 2022 now have an advantage that may be hard to match.
ReadGet 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.