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Datology introduces Curation Studio for custom AI data curation

Datology says Curation Studio delivered a 6x compute multiplier by making better use of existing data.

Jonathan FrankleJF
Andreas Kirsch 🇺🇦AK
Ari MorcosAM
9 Sources, 1h ago, first seen 1h ago

TLDR

Datology says Curation Studio lets teams customize data curation for their AI use cases. The company claims it delivered a 6x compute multiplier using publicly curated datasets from Nvidia, Hugging Face and others. Datology also says it helped Thomson Reuters build Thomson-1 for $450,000 in compute, and claims the model outperformed GPT 5.6 Sol in head-to-head comparisons at 100 times lower cost per task.

Combined views

47.5K

9 Sources, first seen 1h ago

296 likes57 comments121 saves178 reposts

Combined views

47.5K

9 Sources, first seen 1h ago

296 likes57 comments121 saves178 reposts

DatologyAI introduced Curation Studio, a product designed to let teams customize how they curate data for training their own AI models. The company framed data quality as a way to get more from the same training budget.

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CEO Ari Morcos said Datology applied the product to publicly curated datasets from Nvidia, Hugging Face and others, producing what he described as a 6x compute multiplier through better use of existing data. That figure is a company claim; Morcos's post did not provide benchmark methodology or independent validation.

Morcos also said Datology helped Thomson Reuters build Thomson-1 using $450,000 in compute. He claimed the model beat GPT 5.6 Sol in head-to-head comparisons while costing 100 times less per task, but the post did not identify the evaluated tasks or comparison protocol. Datology plans to expand Curation Studio to more modalities and industry-specific uses.

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9 Sources

DatologyAI@datologyaiToday, 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.1h
Ari Morcos@arimorcosOwning your own intelligence is more critical than ever, but harnessing your data to build a model that can beat the frontier has required deep data curation expertise. We built @datologyai Curation Studio to change that. Curation Studio enables teams of all sophistication levels to customize curation to their use cases, delivering a massive compute multiplier that fundamentally changes the economics of model ownership. We applied Curation Studio to the best publicly curated datasets from Nvidia, HuggingFace and others, and were able to deliver a 6x compute multiplier out of the box, all through better use of existing data. This has allowed us to deliver huge wins for our customers. For example, we worked with @thomsonreuters to help them build Thomson-1 for only $450K in compute, which outperformed GPT 5.6 Sol in head-to-head comparisons and did so for 100x lower cost per task. Curation Studio brings those capabilities to everyone. This is a big moment for us at Datology, but it's just the beginning. We'll be expanding Curation Studio support to more modalities and verticals. And stay tuned for more research releases coming very soon!1h
Jonathan Frankle@jefrankleRT @datologyai: Today, we’re excited to launch the Datology Curation Studio, customizable frontier data curation for every team training it…1h
Will Held @ COLM 6-8@WilliamBarrHeldCongrats on the launch @arimorcos, @josh_wills, @lukemerrick_, @pratyushmaini, @KaleighMentzer, @RicardoMonti9 and the rest of the Datology team on the launch! They know data!!!1h
Andreas Kirsch 🇺🇦@BlackHCLooks really cool!49m
Ravid Shwartz Ziv@ziv_ravidWe spend so much energy on architectures and compute, and so little on the data itself. Same sources, same training recipe, only the curation changed, and the baseline needs 6x the compute to catch up. If @arimorcos and @leavittron are launching something, you can be sure it's awesome. Congrats to the @datologyai team!40m
Sarah Catanzaro@sarahcat21Nothing. Actually nothing. moves the needle on model performance as much as improvements in data quality. You probably can’t trust your vendors, your data is probably a mess. You need tools to curate data yourself. @datologyai is making this possible.39m
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    9 Sources

    DatologyAI@datologyaiToday, 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.1h
    Ari Morcos@arimorcosOwning your own intelligence is more critical than ever, but harnessing your data to build a model that can beat the frontier has required deep data curation expertise. We built @datologyai Curation Studio to change that. Curation Studio enables teams of all sophistication levels to customize curation to their use cases, delivering a massive compute multiplier that fundamentally changes the economics of model ownership. We applied Curation Studio to the best publicly curated datasets from Nvidia, HuggingFace and others, and were able to deliver a 6x compute multiplier out of the box, all through better use of existing data. This has allowed us to deliver huge wins for our customers. For example, we worked with @thomsonreuters to help them build Thomson-1 for only $450K in compute, which outperformed GPT 5.6 Sol in head-to-head comparisons and did so for 100x lower cost per task. Curation Studio brings those capabilities to everyone. This is a big moment for us at Datology, but it's just the beginning. We'll be expanding Curation Studio support to more modalities and verticals. And stay tuned for more research releases coming very soon!1h
    Jonathan Frankle@jefrankleRT @datologyai: Today, we’re excited to launch the Datology Curation Studio, customizable frontier data curation for every team training it…1h
    Will Held @ COLM 6-8@WilliamBarrHeldCongrats on the launch @arimorcos, @josh_wills, @lukemerrick_, @pratyushmaini, @KaleighMentzer, @RicardoMonti9 and the rest of the Datology team on the launch! They know data!!!1h
    Andreas Kirsch 🇺🇦@BlackHCLooks really cool!49m
    Ravid Shwartz Ziv@ziv_ravidWe spend so much energy on architectures and compute, and so little on the data itself. Same sources, same training recipe, only the curation changed, and the baseline needs 6x the compute to catch up. If @arimorcos and @leavittron are launching something, you can be sure it's awesome. Congrats to the @datologyai team!40m
    Sarah Catanzaro@sarahcat21Nothing. Actually nothing. moves the needle on model performance as much as improvements in data quality. You probably can’t trust your vendors, your data is probably a mess. You need tools to curate data yourself. @datologyai is making this possible.39m
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