We’re partnering with Dymium to help teams scale AI with tighter control. That means fewer gaps in security, compliance, and cost accountability as agentic systems move from pilots into production.
Adoption is accelerating, but governance is not keeping pace. Many teams want autonomous workflows and faster delivery. They still lack the guardrails that prevent overspending, data exposure, and audit pain. A recent Cisco global survey found that 83% of organizations plan to deploy agentic AI, but only 29% feel confident they can do it securely. Forrester predicts Finance oversight will push more than a quarter of planned 2026 AI spend into the following year.
There’s a clearer path forward. Scale usage without loosening controls, and make ROI measurable while the systems are still being built. Deloitte summarized it in a recent AI trends report: “The leaders will be those that can simultaneously scale adoption, ensure compliance and equip their people to collaborate effectively with AI.”
That’s what this partnership is designed to make practical.
A unified source of AI control
We’re launching a coordinated go-to-market partnership focused on two problems that usually get solved separately. AI economics and AI data security need to work together if agentic workflows are going to be reliable at enterprise scale.
Together, Revenium and Dymium give enterprises:
- Revenium, the AI economic control system that delivers ledger-grade visibility into AI usage and cost across OpenAI, Anthropic, and other providers. Revenium traces calls, tokens, and agent actions so teams can optimize usage, enforce budgets, set guardrails, and prove ROI without slowing down delivery. This matters more in multi-agent environments, where costs can spike in ways traditional monitoring and forecasting miss.
- Dymium, a secure data access layer for agents, analytics, and applications. It supports SQL, APIs, and streams with just-in-time access and full security. Dymium’s Ghost Layer enforces policies at inference time to reduce overexposure, limit data sprawl, and support compliance. Features like column-level redaction and real-time auditing are built for GenAI and agentic systems that touch sensitive production data.
The combination creates a control plane for agentic AI. Data stays protected as automation increases. Economics become visible at the level where decisions get made.
Delivering the wave: a mini-case study with Dymium + Revenium
To see what this partnership looks like in practice, consider the experience of AI systems developer Ride the Next Wave.
Ride The Next Wave has built and deployed agentic AI across manufacturing, healthcare, legal, CPG, agriculture, and more. They understand what production-ready actually requires, not just model performance, but governance and accountability.
“Every production deployment needs three things to succeed, someone to build it right, a governance layer to ensure sensitive data never reaches the LLM, and economics that prove the value back to the business,” explains Shailesh Bhor, Ride The Next Wave’s Founder & Managing Partner. “Ride The Next Wave is the build component of that triad, and we’re proud to turn to Dymium and Revenium as the other two pillars.”
“Dymium governs every data interaction at inference time, and Revenium measures every token, workflow, and dollar,” Bhor adds. “For the first time, our clients have a complete, production-ready stack. Not a science experiment.”
Take control of AI now
If you’re investing in agentic workflows, the next step is operational control. You need guardrails that don’t slow teams down, and economics that connect spend to outcomes.
With Revenium and Dymium, enterprises can move faster while staying secure, compliant, and financially accountable.
Contact us to learn how the combined solution supports responsible AI adoption.
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