The unified platform accelerates AI application development while providing governance, routing, and cost visibility by default.
Ann Arbor, Michigan and Austin, Texas, March 9, 2026 /PRNewswire/ — One Intelligence ( 1-i.ai ) today announced the launch of its AI control plane. It is an integrated platform designed to help enterprises build, publish, and operate production AI applications with speed, reliability, operational discipline, and visibility from day one.
As AI moves from experimentation to mission-critical infrastructure, organizations face two persistent challenges: how to build AI applications quickly and how to operate them responsibly at scale. Many teams start by connecting model APIs directly to their products, but end up facing unpredictable costs, inconsistent guardrails, provider lock-in, and limited performance and failure visibility.
Despite rapid adoption, industry research suggests as much. 70% of enterprises report challenges when moving AI workloads from experiment to productioncited the lack of basic infrastructure as the main barrier. Industry research also estimates that 85% of AI projects don’t make it past the pilot stage This is due to operational complexity, governance concerns, and integration challenges.
At the same time, enterprise spending on generative AI infrastructure is Over $140 billion per year within the next few yearsincreasing pressure on organizations to manage reliability, cost, and vendor complexity. As AI adoption expands across teams and applications, the need for an integrated operational layer becomes increasingly necessary. Many companies now operate multiple AI model providers simultaneously to balance cost, performance, and reliability, further increasing operational complexity.
1-i.ai is Control plane between application and model providerThis enables teams to build AI capabilities quickly, consistently, and at scale without relying on providers and operating them with the discipline expected of operational infrastructure.
Organizations interested in joining the Enterprise Design Partnership or requesting a demonstration of the platform can learn more at https://1-i.ai.
“AI is now embedded in almost every core product and workflow,” said Deepesh Desai, founder of One Intelligence. “However, most teams still build individual applications by stringing together glue code around model APIs. We built 1-i.ai to accelerate AI application development while introducing the operational rigor that enterprises expect from their infrastructure.”
A unified platform for building and operating production AI applications
This platform enables teams to:
- Design and run definitive, versioned workflows
- Orchestrate fan-out and fan-in across multiple providers and strategies
- Dynamically route between multiple model providers
- Publish managed AI applications with stable input/output contracts
- Connect existing applications, services, and tools through integrated Ingress contracts
- Deploying chat experiences with threaded sessions and memory injection
- Apply policies and guardrails throughout the run
- Monitor costs, latency, and reliability across applications and providers
- Capture end-user feedback signals associated with requests and applications.
Product, engineering, platform, and operations teams can visually design workflows and publish them as production-ready experiences. Ingress app, chat runner, memory-enabled interfaceschema validation, authentication, and version pinning are completed.
This approach allows organizations to ship AI applications and capabilities without rebuilding the underlying AI infrastructure (orchestration, routing, governance, observability) from scratch.
Built for AI at scale
The control plane captures replayable execution artifacts of every request, such as routing decisions and policy evaluations. This enables deterministic debugging, audit trails, incident investigation, and performance regression analysis.
The platform also includes: strategy-based routing, This allows organizations to avoid vendor lock-in while optimizing cost, latency, reliability, and provider health. All of this includes end-to-end operational visibility built through a complete observability stack that includes: Metrics, traces, end-user feedback signals, dashboards Provides real-time insight into overall application performance and cost.
From experiments to infrastructure
By combining speed with governance and operational control in a single operating layer, 1-i.ai helps enterprises accelerate time-to-market for AI applications and product features while maintaining operational control.
“We believe that AI should run like infrastructure: it should be designed to be reliable, measurable, secure, and scalable,” Desai added. “But teams don’t have to build that infrastructure themselves. It needs to be ready for anyone to deploy.”
The 1-i.ai AI control plane is now available to enterprise design partners and early production AI deployments.
For more information or to request a demo, visit 1-i.ai or LinkedIn.
Media Contact: Deepesh Desai, Founder, One Intelligence; [email protected]
About One Intelligence ( 1-i.ai )
One Intelligence ( 1-i.ai ) is an AI control plane for enterprise AI applications.
The platform enables organizations to build, publish, and operate AI workloads with deterministic execution, policy enforcement, routing control, and complete cost and performance visibility in one integrated system. Businesses don’t just need better models. Operational management is required.
Our beliefs are simple. Innovation should be fast, but never obvious.
Velocity must scale, but it can never scale without trust.
Our goal is to help businesses scale AI with control and confidence.
Build AI-like infrastructure. Run AI like infrastructure.
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