New program delivers deal protection, certifications, and tailored support for SIs, resellers, and referral partners as synthetic data demand surges.
SAN FRANCISCO, CA, UNITED STATES, July 14, 2026 /EINPresswire.com/–With major AI research labs and global service firms pouring resources into enterprise AI rollouts, the need for accurate, safe, and regulation-friendly data has reached an all-time high. Today, Tonic.ai—the synthetic data platform serving AI and engineering teams—unveiled the Tonic.ai Global Partner Program. This structured ecosystem allows systems integrators, managed service providers, value-added resellers, and referral partners to build profitable businesses at the crossroads of synthetic data, AI, software engineering, and enterprise data privacy. The initiative features three tracks—Build, Resell, and Refer—each offering free role-based certifications, deal protection on registered opportunities, and dedicated support from Tonic.ai sales, engineering, and forward deployed engineering (FDE) teams.
“Every enterprise AI project bumps into the same obstacle: either the data isn’t safe to use, or it doesn’t exist at all. Through this program, the firms that enterprises count on to deliver AI gain a synthetic data partner they can build a profitable practice around—moving beyond software testing into agent development and AI evaluation,” stated Tomer Benami, CFO and VP of Business Development at Tonic.ai.
What does the Tonic.ai partner program involve?
The Tonic.ai Partner Program is specifically crafted for the organizations and practitioners who implement, resell, and introduce Tonic.ai to enterprise engineering and AI groups. Partners receive complimentary certifications in four role tracks—Sales, Pre-Sales Engineering, Solution Architecture, and Platform Management—alongside NFR licenses for demo and proof-of-concept environments, a dedicated Partnerships Manager, and co-marketing assistance. This program is tailored for the age of AI-native enterprises, where the primary growth opportunity now extends beyond software testing and development to encompass agent development, agent testing, and large-scale AI evaluation.
Why do AI-forward enterprises require a synthetic data platform at this moment?
Engineering and AI teams grapple with a fundamental data issue that intensifies as AI adoption accelerates: production data introduces privacy and compliance risks, manually redacted data is sluggish and inconsistent, and poor or absent data stalls every software, agent development, or AI training project that depends on it.
The global landscape is rapidly transitioning from pure software development and testing toward agent development and testing. This shift calls for a new class of data infrastructure. Tonic.ai meets this need with its synthetic data platform, allowing organizations to produce high-fidelity synthetic data and de-identify production data for development pipelines, LLM fine-tuning, and simulated agent evaluation environments.
Just as top AI companies are heavily investing in the services ecosystem to speed up enterprise AI deployment, Tonic.ai’s Partner Program rests on the same premise: the firms that implement and support enterprise AI require a dependable synthetic data partner. Enterprises must juggle legacy approaches with bold AI investments, and Tonic.ai acts as the bridge in the AI transformation for testing, development, and AI delivery available right now.
Partner adoption is gaining momentum. Those who establish a practice early are poised to expand alongside a category that is evolving from niche to standard across the global market.
“I’ve spent my career building de-identification solutions, and our customers’ needs have changed more in the last two years than in the previous ten—moving from test data to agent testing and AI training environments. Axis partners with Tonic.ai because it’s designed for where our customers are headed, and this program provides the certifications and engineering support to deploy it at the scale our clients demand,” said George Barroso, VP of Data Solutions at Axis Technology.
What partners receive
Across all three tracks, the Tonic.ai Partner Program is founded on three core value pillars:
– Lucrative incentives
– Deal protection
– Self-service and live training and enablement
– Solutions engineering and professional services support and enablement
Partners gain access to Tonic.ai’s complete product suite. This equips them with the tools to broaden engagements beyond conventional software delivery and testing into AI development, agent testing, and evaluation.
“Our clients come to us to turn AI ambitions into production systems, and that always comes down to data they can use safely. With the Tonic platform and this partner program, our teams can offer global enterprises a repeatable method to unblock development, testing, and AI training—consistently and at scale,” noted Kunal Nigam, NA TDM Practice Lead at Cognizant.
To fuel the program’s growth, Tonic.ai is reinforcing its partnerships leadership. Mike Xenakis, formerly Global Head of Partnerships at Delphix, MicroStrategy, and Adobe, has joined Tonic.ai as a strategic advisor, bringing extensive experience in building partner ecosystems.
“The partner opportunity in this market is the largest it has ever been, and it’s pivoting toward AI. Tonic.ai offers the product and strategy to help partners create durable practices around it, and I’m pleased to help shape that,” said Xenakis.
How to begin
Partners can register a deal, access certifications, and connect with the Tonic.ai Partner Team by reaching out at: partnerships@tonic.ai.
About Tonic.ai
Tonic.ai is the synthetic data platform that provides engineering teams with on-demand production-like data for every workload, enabling them to test software and AI safely without risking sensitive data exposure. Founded in 2018, Tonic.ai is trusted by thousands of developers globally at companies such as Comcast, eBay, UnitedHealthcare, JPMorganChase, and Fidelity Investments. Learn more at www.tonic.ai, or follow @tonicfakedata on X and /tonicfakedata on LinkedIn.
David Watson
Tonic.ai
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