Value Added Resellers

About the AI Partner Program

Our AI Partner Program provides Value Added Resellers (VARs) with a straightforward, profitable, and scalable partnering environment. This program rewards your efforts based on an end-user engagement and transaction model. VAR Partners agree to commitments on investment, training, business development and marketing activities. The AI Partner Program is designed for flexibility to meet the needs of your growing business and will provide you with the competitive edge to gain enhanced market opportunities.

Program Benefits

VAR Partners receive sales, technical training, marketing and other support benefits to build a high growth, profitable business with DataRobot.

Program Tracks

Our AI Partner Program features two tracks to align with how you engage with your end-users and enable further expansion of your business opportunities.

Reseller Track

For partners focused on reselling DataRobot solutions, this track offers tier-based discounts, additional sales performance discounts and deal protection to drive sales and boost earnings.

Referral Track

For partners focused on providing consulting and services around DataRobot software, this track provides incentives tied to value-add activities. Partners are rewarded with finder's fees and referral fees.

Partners

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Technology Alliances

Technology Alliances provide platforms and applications that integrate with DataRobot to accelerate the value delivered by automated machine learning.

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Value Added Resellers

Value Added Resellers are a global network of service providers that, in addition to their own services, resell DataRobot to deliver increased value.

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Solution Partners

Solution Partners embed our powerful automated machine learning platform tools into their own applications to enable an AI-driven experience for their customers.

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Systems Integrators and Consulting Firms

Systems Integrators and Consulting Firms use DataRobot to design, plan, develop, and implement vertical and horizontal solutions of all sizes and complexities.

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