Databricks Ventures
VC Fund
San Francisco, United States
Databricks Ventures is a VC fund in San Francisco focused on Artificial Intelligence and Software. Databricks Ventures invests in innovative companies that share the view of the future for data, analytics, and AI. Databricks' inaugural initiative, the Lakehouse Fund, is focused on early and growth-stage companies that are extending the lakehouse ecosystem or using the lakehouse architecture to create the next generation of data andAI-powered companies.
- Total investments:
- 66
- Last investment:
- Lead investor:
- 26%
Last updated:
For AI agents: llms.txt
Industries Databricks Ventures invests in
Stages Databricks Ventures invests in
Countries Databricks Ventures invests in
Contacts
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4 more contacts available
Investment Focus
Industry
- Artificial Intelligence 33 (50%)
- Software 24 (36%)
- Machine Learning 18 (27%)
- Analytics 17 (26%)
- Information Technology 14 (21%)
Stage
- Series A 18 (27%)
- Series B 13 (20%)
- Seed 9 (14%)
- Venture - Series Unknown 9 (14%)
- Funding Round 5 (8%)
Country
- United States 46 (70%)
- United Kingdom 3 (5%)
- France 2 (3%)
- Israel 2 (3%)
- Brazil 1 (2%)
Team
| Name | Title | Investments | Links | |
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Andrew Ferguson
Head of Databricks Ventures
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Head of Databricks Ventures | Total investments: 19 | Find email |
Investments
| Company | Description | Round | Links |
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Foundational model for refining operations | $20M / Series A / Jul 16, 2026 | |
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Tsuga is a platform that enables enterprise-grade observability, such as log management, application performance monitoring, infrastructure analytics, and sensitive data scanning, while paying close attention to compliance and cost controls. | $35M / Series A / Jun 22, 2026 | |
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OpenRouter is a platform that connects AI applications with large language models and cloud hosting providers, allowing users to optimize for costs, speed, and performance. The platform supports over 180 AI models, offers a unified API, and includes functionalities like private chat and exploratory data capabilities. OpenRouter sets the newbenchmark for large-scale AI inference with its global edge infrastructure, privacy-focused design, real-time accounting, and integrated billing. | $113M / Series B / May 26, 2026 | |
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Sigma Computing develops cloud-based analytics and business intelligence software for data exploration and analysis. The company provides a spreadsheet-style interface that allows users to work with large datasets using familiar formulas, tables, and reporting workflows. Its platform supports live data analysis, dashboard creation, embeddedanalytics, workflow automation, and collaborative data applications. Sigma Computing also offers AI-powered capabilities for querying data, building applications, and integrating machine learning models within analytics processes. The platform connects directly to cloud data infrastructure, helping teams manage, visualize, and interact with operational and business data without requiring data movement or coding expertise. | $80M / Series E / May 18, 2026 | |
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Pomo (pomohq) is a small, AI‑powered marketing‑tech startup that builds a unified platform of AI agents to plan, create, and optimize cross‑channel marketing campaigns for growth‑focused brands. It aims to replace fragmented tools and manual workflows with an integrated system that scales marketing operations and insights in one stack. | $4.5M / Seed / Apr 08, 2026 | |
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Replit provides a cloud-based software development platform that allows users to write, run, and deploy applications through a browser-based environment. The platform includes an integrated code editor, terminal, debugging tools, and hosting features that support the creation and deployment of full-stack applications from a single workspace. Replitsupports multiple programming languages and provides preconfigured development environments so projects can start without installing local software.The platform includes collaboration features that enable multiple users to edit and run code within the same project in real time. It also offers AI-assisted coding tools that generate code suggestions, help debug programs, and assist with building applications through natural language prompts. Replit provides project sharing, templates, and integration with external services and repositories to support development workflows. | $400M / Series D / Mar 11, 2026 | |
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The company specializes in developing AI research agents that streamline knowledge workflows. | Venture - Series Unknown / Feb 10, 2026 | |
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Datalinx AI is an agentic software application that prepares consumer data for AI models and applications quickly and securely. | $4.2M / Seed / Jan 29, 2026 | |
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The aim of Inferact is to make vLLM the leading AI inference engine in the world and advance AI by lowering the cost and speed of inference. | $150M / Seed / Jan 22, 2026 | |
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Agency AI helps to manage workflows of B2B Customer Success teams | $20M / Series A / Nov 12, 2025 | |
| See all 66 investments → | |||
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FAQ
What does Databricks Ventures invest in?
Databricks Ventures invests primarily in Artificial Intelligence, Software and Machine Learning startups, most often at Series A and Series B stage. Most of the 66 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
How do I contact Databricks Ventures?
Public channels for Databricks Ventures include LinkedIn and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
Who are the partners at Databricks Ventures?
The team at Databricks Ventures includes Andrew Ferguson (Head of Databricks Ventures). The Team section lists each member with their title, investment count and links.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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