Today, we’re excited to launch the Datology Curation Studio, customizable frontier data curation for every team training its own models. Data quality is the ultimate compute multiplier, and Curation Studio makes it easy for everyone.

We built the strongest baseline we could by combining the best publicly curated datasets. Curated data led to meaningfully better models, with the baseline needing 6× the compute to match the same quality. That’s the Datology compute multiplier in action.

We used the same 39 source datasets—including Nemotron, FineWeb, and The Stack v3—and identical pretraining and post-training recipes to make the most apples-to-apples comparison possible. The only change: data curation. Explore the setup and results:

The gains persisted after post-training: our 30B-A3B model scored 46.8% vs. 37.7% for the baseline, averaged across benchmarks. A curated 12B-A1.4B model also beat the 30B-A3B baseline despite using roughly one-fifth of the pretraining compute.

Curation Studio puts this process in your hands: Clean → Calibrate → Create → Compose. Bring your data, optimize for your tasks, and keep your data inside your VPC. See how it works:

If you want to own your own intelligence, book a demo with our team, or join us live on October 27th to see Curation Studio in action and chat with the team behind the research. Save your seat here:

huge congrats Ari and team!!

congrats on the launch!!

🧡🚀we love launch days!!

So cool to see this out!

this is nuts, congrats on the launch!!

same data, same recipe, just better curation and it's 6x?? y'all cooked fr

exciting, congrats!!

so basically it’s not about how big the model is, it’s about what you feed it. kinda makes sense when you think about it

Curious, how much does this change when you use a completely different base model?

everyone's buying more gpus and y'all just fixed the data lol, love this

does it work for fine-tuning too, or just pretraining?

What does “customizable” mean if you do not know what good data looks like?

Big day for 'own your intelligence' -- congrats!!

everyone wants a bigger model until they see the compute bill

Congrats team

Does this mean a lot of models could perform better without getting any bigger?

does the 6x hold for domain-specific data too or mostly general web?

Congrats @datologyai team! This is the future 🙌

6x from curation alone is wild

Would this help a class project, or only a team already training models?

Great launch guys🔥🙏🏻

love that the data stays in your own vpc, that's the part most teams actually care about

you guys COOKED

Love the focus on data quality here

the curated vs baseline chart is so clean, that gap says everything

can you plug in your own quality filters?

about time someone did this congrats guys!

Can a small team use this, or do you need a company setup?

did the baseline really need six times the compute to match that quality?

This is a major leap in quality.

good models start with good data, couldn't agree more

curation finally treated as a product and not a preprocessing script

congrats guys w

is there a minimum dataset size where this starts making sense? asking for a small team