Databricks Secures Series K Funding, Valued at Over $100 Billion

2025-08-20
Databricks Secures Series K Funding, Valued at Over $100 Billion

Databricks, the Data and AI company, announced it has secured Series K funding, valuing the company at over $100 billion. This investment will fuel Databricks' AI strategy, expanding its Agent Bricks product, investing in its new Lakebase database, and driving global growth. Agent Bricks builds high-quality AI agents, while Lakebase is a new operational database built on open-source Postgres, both optimized for AI. The funding will also support future AI acquisitions and research. With over 15,000 customers, Databricks' platform democratizes data and AI access, enabling organizations to leverage their data for analytics and AI applications, increasing revenue, lowering costs, and mitigating risks.

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AI

Databricks Acquires Neon: Serverless Postgres for the AI Era

2025-05-14
Databricks Acquires Neon: Serverless Postgres for the AI Era

Databricks announced the acquisition of Neon, a developer-first serverless Postgres company. Neon's team, renowned for their Postgres expertise, built a database platform known for its speed, scalability, and cost-effectiveness, particularly appealing to AI agents. This acquisition strengthens Databricks' position in AI-native databases, offering developers and AI systems a powerful database solution.

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Tech

Databricks' TAO: Outperforming Fine-tuning with Unlabeled Data

2025-03-26
Databricks' TAO: Outperforming Fine-tuning with Unlabeled Data

Databricks introduces TAO (Test-time Adaptive Optimization), a novel model tuning method requiring only unlabeled usage data. Unlike traditional fine-tuning, TAO leverages test-time compute and reinforcement learning to improve model performance based on past input examples. Surprisingly, TAO surpasses traditional fine-tuning, bringing open-source models like Llama to a quality comparable to expensive proprietary models like GPT-4. This breakthrough is available in preview for Databricks customers and will power future products.

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