Databricks AI Research (@DbrxMosaicAI) — Twitter Score 36 out of 1000

Databricks AI Research is the generative AI research team within Databricks that develops large language models, training systems, and data-agent technology. Databricks AI Research's Twitter Score is 36 out of 1000 as of September 2026, ranking #26,165 (top 10%) among 486,621 tracked accounts.

Databricks AI Research was founded by Naveen Rao as CEO and co-founder and Hanlin Tang as CTO and co-founder, originally operating under the MosaicML identity. Databricks announced a definitive agreement to acquire MosaicML in a transaction valued at approximately $1.3 billion, inclusive of retention packages, with the announcement made on June 26, 2023. Following the acquisition, the account transitioned to its current Databricks AI Research identity and links to Databricks' research site. Previously, Playground Global and DCVC had backed the team as investors.

Databricks AI Research built a reputation during its MosaicML era for its MPT family of large language models, including MPT-7B and MPT-30B. The team's open-source model-development software spans Composer, Streaming, LLM Foundry, and MegaBlocks. Its current work under the Databricks umbrella centers on Databricks Mosaic AI Training, a platform designed to make training and fine-tuning large AI models broadly accessible. The team has also published research on data-agent technology, including the paper KARL: Knowledge Agents via Reinforcement Learning. Databricks AI Research has published 1,058 posts and has been mentioned by 9 accounts a total of 11 times, with 53,978 followers as of September 2026 on the platform.

Who follows Databricks AI Research on X?

The accounts that follow Databricks AI Research include 177 founders, 50 angel investors, 28 influencers and 3 VCs, among them Marc Andreessen, 6529, Andrej Karpathy, Tarun Chitra, Mark Cuban and Jake Brukhman.