AI Accelerator Program

AI Accelerator Program is sponsored by Databricks Ventures. An accelerator program supporting pre-seed and seed-stage startups focused on AI applications and agents, offering funding, mentorship, and resources to scale innovative technologies.

Databricks AI Accelerator Program | Databricks Databricks AI Accelerator Program Fueling next-gen startups to build, scale and succeed with Databricks Powered by Databricks Ventures, the Databricks AI Accelerator Program is an invitation-only product development initiative designed to strategically support high-potential, early-stage startups building their applications on the Databricks Data + AI Platform.

As enterprises embrace the data intelligence paradigm, our focus is to accelerate the development of an early-stage ecosystem of partners in data-intensive verticals where Databricks customers are looking for next-generation partners that enable composable architectures on the Databricks lakehouse.

Once program participants build and scale their solution, companies will enter our Built on Databricks Partner Program , where they’ll receive GTM guidance, co-selling and marketing assistance.

The Databricks AI Accelerator Program leverages a mix of direct financial incentives of up to $250K in Databricks Ventures funding and product credits, plus tailored mentorship, technical resources and access to a high-value network of industry experts and partners to accelerate product development and GTM scaling.

By offering deep technical and business support in addition to financial incentives, the program aims to foster mutually beneficial relationships that drive startup success, while expanding options in the customer ecosystem with next-generation applications built on the Databricks Data + AI Platform.

Each investment package is customized to the needs of the startup and can include: Databricks Ventures investment — Angel-style investment check to fund growth Databricks product credit — Product credits to build a solution on the Databricks Data + AI Platform Professional services credit — Access to a professional services firm to assist with product build Customer acquisition credit — Credits for prospects to cover the cost of a POC on the Databricks Data + AI Platform Business tier support — Complimentary support for program participants needing help with Apache Spark™, platform development and administration Technical mentorship — Dedicated, hands-on support for architecture and technical consultation Executive sponsorship — Dedicated program support as well as access to Databricks leadership for ongoing alignment Databricks expert network — Ongoing access to over 20 VP+ Databricks executives for advisory opportunities across GTM, pricing/commercialization, partnerships and more Databricks VC investor network — Access to strategic VC firms aligned with the Databricks Data + AI Platform ecosystem of partners Alpha Level focuses on reducing alert noise and false positives in real time by leveraging advanced pattern recognition and machine learning for security teams.

Alpha Level can process security alerts without exporting data, achieving up to 87% noise reduction while maintaining a one-in-a-billion false negative rate. The product integrates directly with existing infrastructure, analyzes multimodal data sources like endpoint telemetry and cloud logs and auto-adjusts through self-learning models to deliver a massive decrease in alert volumes to ensure organizations never miss breaches.

Applied Computing builds Orbital, a domain-specific AI platform for energy, combining time-series and physics-aware models with contextual reasoning to deliver material gains in reliability, efficiency, and yield. Datalinx AI is an AI data refinery that transforms raw consumer data into actionable fuel for enterprise AI models and applications.

Datalinx accelerates AI innovation by removing common data roadblocks, empowering marketing, data science and analytics teams to leverage AI for growth across marketing, advertising, customer experience and business intelligence use cases. Deductive AI is a unified investigation platform that connects to your code base and telemetry (traces, logs, metrics and events) to guide incidents from start to finish.

It mimics the workflow of an experienced SRE by generating hypotheses, testing them against evidence and surfacing precise, actionable insights at every stage. Powered by reinforcement learning and agentic problem-solvers, Deductive continually improves with each investigation — refining strategies, adapting to feedback and delivering faster, more accurate root cause analysis.

Fleak is an enterprise-ready platform that transforms how organizations build transformation layers across different systems. Fleak allows you to create self-healing AI orchestration that adapts to changes automatically — reducing engineering time by 90% while maintaining complete governance and control.

Pomo turns business data into marketing intelligence and action, analyzing performance signals, uncovering opportunities, and activating across channels. Built for growth teams to move faster and drive revenue.

Ziggiz is a data automation and intelligence platform that consolidates, analyzes and enables action on data from every source in an organization, automating over 90% of manual data engineering tasks using advanced AI and data science techniques.

Providing a unified, continuously updated view across all data sources, Ziggiz ensures data is always ready for use, securely stored and rapidly integrated for large enterprises and regulated industries.

Databricks AI Accelerator Program founder interviews Ziggiz CEO Interview at Data + Ai Summit Ziggiz CEO George Webster interviewed by Databricks Head of Evangelism Ari Kaplan at Data + AI Summit 2025 Deductive Co-Founder Interview at Data + AI Summit Deductive Co-founder/CEO Rakesh Kothari and Co-founder/CTO Sameer Agarwal interviewed by Databricks Head of Evangelism Ari Kaplan at Data + AI Summit 2025 The Databricks VC network The Databricks AI Accelerator Program works with a select group of VC firms aligned with the Databricks Data + AI Platform ecosystem of partners that serve as ongoing partners for participants as they scale.

The Databricks VC network includes: Are you a preseed or seed company intending to build your B2B, customer-facing application on the Databricks Data + AI Platform? Then we want to hear from you! Please complete the requested information at the link below, and we’ll be happy to consider your application.

Get started with Databricks In addition to the Databricks AI Accelerator Program, Databricks for Startups offers free credits, expert advice and go-to-market support. What is the Databricks AI Accelerator Program? The Databricks AI Accelerator Program is a selective, application-based initiative by Databricks designed to strategically support high-potential early-stage startups building applications on the Databricks Data + AI Platform.

Our goal is to accelerate the development of an early-stage ecosystem of partners in key data-intensive categories where our customers are seeking next-generation solutions. What makes this program different from other startup programs? The Databricks AI Accelerator Program combines direct financial investment, tailored mentorship, technical resources and access to a wide network of industry experts and partners.

We don’t just provide capital — we offer comprehensive technical and business support to foster mutually beneficial relationships that drive startup success while giving our customers more ecosystem options. What is the ultimate goal of the Databricks AI Accelerator Program?

The graduation criterion for Databricks AI Accelerator Program is enrollment in the Built on Databricks Program, which provides participants with additional go-to-market guidance, co-selling opportunities and marketing assistance. What are the eligibility criteria for the program?

To qualify for the Databricks AI Accelerator Program, startups must meet the following requirements: Incorporation and stage : Your company must be formally incorporated and at the preseed or seed funding stage Founding team : Preference is given to startups with technical founding teams Technical alignment : Your core data and AI architecture or product must be built exclusively on the Databricks Data + AI Platform.

This applies to both traditional SaaS offerings and products deployed into customer clouds. Industry focus : Your product should target a data-intensive, B2B vertical closely aligned with Databricks target audiences. Sectors include (but are not limited to): security, observability, customer data platforms (CDP/MarTech), IoT, product analytics and AdTech.

Product maturity : To be considered for investment, applicants must have specific use cases in mind, a full-time committed team and established design partners These criteria are designed to ensure that participants are well positioned for rapid product development and go-to-market success as part of the Databricks partner ecosystem. Are there specific categories of companies that fit with this program?

The Databricks AI Accelerator Program is open to B2B, customer-facing, data-intensive applications built on the Databricks Data + AI Platform. Attractive categories for this program include security, observability, customer data platforms (CDP/MarTech), IoT, product analytics, AdTech and other data-intensive segments. What stage of company is the Databricks AI Accelerator Program open to?

This program is primarily focused on early-stage, preseed or seed-stage companies that are building their products on the Databricks Data + AI Platform. A candidate company must be incorporated and have a full-time team working on product development.