Databricks Inc.

09/18/2025 | News release | Distributed by Public on 09/18/2025 06:58

Fueling the Next Generation of AI: Announcing the Databricks AI Accelerator Program

At Databricks, our mission is to empower builders pushing the boundaries of data and AI. Today, we're proud to introduce the Databricks AI Accelerator Program - an exclusive initiative powered by Databricks Ventures designed to discover, accelerate, and scale high-potential early-stage AI startups building transformative applications on the Databricks Data Intelligence Platform. The program is an invitation-only product development and investment initiative focused on pre-seed and seed-stage startups. By supporting founders from day one with hands-on technical mentorship, executive guidance, capital and access to our partner ecosystem, we are seeding the next generation of game-changing data and AI products built on Databricks.

More Than Capital: Accelerating Early Stage Data + AI Innovators

The Databricks AI Accelerator Program blends direct financial investment (up to $250K in funding and product/services credits) with tailored technical resources, mentorship, and a powerful network of Databricks and VC leaders. Each investment package is customized to the startup's unique needs, including:

  • Databricks Ventures Investment: Angel-style funding to catalyze growth
  • Product Credits: Get started quickly on Databricks with credits for your team
  • Professional Services Credits: Collaborate with delivery experts to build robust solutions
  • Customer Acquisition Credits: Lower POC costs for your prospects on Databricks
  • Business Tier Support: Free access to Databricks technical specialists
  • Technical Mentorship: Hands-on guidance in AI-first architecture and engineering
  • Executive Sponsorship: Regular touchpoints and guidance from Databricks leaders
  • Databricks Expert Network: Access to over 20 Databricks VP+ executives for advice on GTM, pricing, partnerships, and more
  • Databricks VC Investor Network: Strategic connections to a select group of venture firms aligned with Databricks' data + AI vision

After participants build and scale their solution, they graduate into our Built-On Databricks Partner Program to unlock advanced go-to-market guidance, co-selling, and marketing support.

Meet Our Portfolio: Building the Future on Databricks

The Databricks AI Accelerator Program The Databricks AI Accelerator isn't just a program-it's growing a vibrant community of builders and visionaries aiming to address some of the toughest challenges in data and AI. Through this initiative, Databricks is attracting ambitious, technical startups that push the envelope in their respective industries. What sets these companies apart is their fierce commitment to leveraging the full power of Databricks to solve real-world enterprise problems, accelerate data-driven outcomes, and build AI solutions that stand out in data-intensive verticals. Each startup enters the program with a clear use case, early momentum from design partners, and a relentless drive to scale.

We are excited to unveil the inaugural cohort of program participants:

  • Alpha Level - Tackles security alert fatigue using powerful AI and pattern recognition.
  • Datalinx AI - An AI data refinery that transforms raw consumer data into actionable fuel for enterprise AI models and applications.
  • Deductive AI - Accelerates root cause analysis in large-scale software systems by combining observability data with AI-powered code-aware reasoning, agentic problem-solving, and reinforcement learning.
  • Fleak - AI-powered universal translator that ingests and maps any machine data to a data lakehouse.
  • Ziggiz - An automation and intelligence platform for enterprise data, Ziggiz consolidates, analyzes, and enables action across every source, automating over 90% of manual data engineering through advanced AI.
Databricks Inc. published this content on September 18, 2025, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on September 18, 2025 at 12:58 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]