Databricks launched Databricks Ventures in December 2021 as its strategic investment arm for funding innovative startups across the data, analytics, and Artificial Intelligence (AI) landscape—companies that shared Databricks’ view on the importance of open platforms and ecosystems.
Since then, via the inaugural Lakehouse Fund, the company has invested in more than 25 amazing companies that are building on or extending the Databricks Data Intelligence Platform. The result has been a stronger ecosystem, with Databricks’ portfolio companies delivering best-in-class product experiences for joint customers.
Today, Databricks Ventures is excited to announce the Databricks AI Fund, the second fund at Databricks’ strategic investment arm. Just as software ate the world, Databricks’ believes AI is now eating software. As such, the pace of change in the AI ecosystem has dramatically accelerated.
The era of AI in the enterprise has arrived, and this new AI Fund embodies Databricks Ventures’ commitment to supporting a new generation of founders and startups in this critically important ecosystem.
Databricks Ventures to Seek Out Early-Stage and Innovative Startups
To bolster the ecosystem around the Databricks Data Intelligence Platform, Databricks Ventures will be aggressively seeking out investments in innovative, early- to growth-stage startups that are utilising or enabling AI in innovative ways on top of or alongside our platform. These companies will share Databricks’ vision for an open ecosystem and its commitment to using the power of data intelligence for the benefit of joint customers.
Since last fall, Databricks Ventures has already invested in six AI-focused companies: Anomalo, Cleanlab, Glean, Mistral AI, Perplexity, and Unstructured. These portfolio companies fall in very different sectors of the landscape—from open-source large language model development (Mistral AI) to AI-powered data quality monitoring (Anomalo)—but all leverage the power of AI to deliver superior customer experiences.
With these varied investments, Databricks forged deeper partner and integration relationships across the AI value chain that benefit its portfolio companies and their common customers. It has also helped Databricks build a strong, differentiated ecosystem around its pioneering platform.
The company even more excited about the future of data and AI today than it was in 2021—and Databricks Ventures is ready to help a new set of founders and entrepreneurs build AI-first companies.
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)