Companies bring together experience across AI infrastructure, energy and Bitcoin to develop transparent, usage-based token settlement for AI computing
Bentaus, an AI infrastructure and NeoCloud company, today announced a strategic collaboration with Synota to develop an independent settlement framework for AI infrastructure. The first deployment is targeted to go live on Bentaus infrastructure in Q4 2026. AI infrastructure is becoming increasingly dynamic, while the financial systems supporting it still largely revolve around traditional billing cycles. Bentaus and Synota are working together to create a two-sided settlement model connecting validated infrastructure consumption and AI workloads directly to billing and financial settlement.
The collaboration brings together both companies’ experience across Bitcoin, energy and infrastructure economics. Telemetry and usage data will flow from Bentaus’ data center infrastructure and the Ziani™ Systems power asset orchestrator (PAO) will integrate with Synota’s billing and settlement technology. Bentaus will measure and validate infrastructure consumption, including GPU and token usage, while Synota will apply that data against customer commercial terms for billing. Synota’s patent-pending Collaborative Consensus technology enables buyer and seller to confirm the settlement record and automate payments.
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“Bentaus and Synota both come from markets where infrastructure, energy and economics are deeply connected,” said Bob Davidoff, Founder and CEO of Bentaus. “Bitcoin taught our industry how to measure compute against energy and economics in real time. Now we have an opportunity to apply those lessons to build a financial layer for how AI infrastructure is actually consumed and the value it generated.”
Built for Where AI Pricing Is Going:
A single AI application can consume GPU resources, high-bandwidth memory, storage, networking, software and energy while generating millions or billions of tokens across training, inference and agentic workflows. As AI pricing evolves from GPU hours toward services performed and work delivered, trusted measurement and settlement become increasingly important.
The initial integration is being designed to support daily and monthly settlement based on customer agreements, with the framework evolving toward settlement based directly on token usage and AI work performed. It will support Bentaus NeoCloud services including GPU compute, token consumption, storage, training and inference workloads, agentic AI services, hardware utilization and other metered infrastructure services.
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“Our customers should be able to understand exactly what they consumed and exactly how that consumption became a charge,” Bob Davidoff said. “Whether that is a GPU hour, a billion tokens, a training workload or eventually an AI agent consuming compute autonomously, there should be a clear path from the infrastructure through settlement.”
“Everything we built to enable trusted settlement in energy markets now applies to AI infrastructure as compute commoditizes and pricing becomes more dynamic,” said Austin Mitchell, CEO of Synota. “We are excited to partner with Bentaus because they measure everything and want to meet the growing customer demand for transparency as these costs rise.”
The collaboration supports Bentaus’ broader focus on moving AI economics beyond GPU hours toward measuring useful AI output and price-performance through tokens per dollar.
