Domino Data Lab, provider of the leading enterprise AI platform, has launched its Winter Release, introducing the industry's first fully governed end-to-end platform for operationalizing agentic AI systems. The update establishes a comprehensive agentic development lifecycle (ADLC) experience alongside native LLM hosting capabilities, enabling organizations to build, evaluate, deploy, and monitor agentic AI applications at scale with built-in governance, reproducibility, and enterprise-grade control.
Quick Intel
Agentic AI systems, capable of autonomous decision-making and multi-step orchestration, face significant barriers moving from prototype to production due to fragmented tooling and limited observability. Domino's Winter Release addresses these challenges by extending its established MLOps platform to support the full agentic lifecycle with the same rigor applied to traditional ML workflows.
The platform now includes dedicated instrumentation for agentic development, ensuring traceability from experimentation through deployment. Teams benefit from complete visibility into agent behavior, enabling confident iteration and scaling while maintaining compliance and auditability.
A built-in universal tracing SDK works with any agentic orchestration framework to log every action—prompts, tool invocations, reasoning steps, and outputs—creating a shared system of record across the ADLC. This foundation supports reproducibility and governance at every stage.
Evaluation capabilities have been enhanced with structured, side-by-side comparisons at both summary and granular trace levels. Teams can apply consistent metrics, review configuration lineage, and validate performance to ensure reliable outcomes.
Deployment closes the experimentation-to-production gap through Domino Apps, offering streamlined rollout, autoscaling, and broad policy enforcement. This allows governed access for large user bases without relying on unmanaged APIs or fragile prototypes.
Production monitoring delivers ongoing evaluation using custom metrics, human-in-the-loop feedback, and detailed historical traces, helping teams detect drift, refine agents, and maintain trust in live systems.
Complementing the ADLC, Domino introduces governed LLM hosting for secure, in-house model serving. Organizations gain high-performance inference with full control over data residency, costs, and security—critical for regulated industries.
"Building and deploying agents in production requires both rapid experimentation and robust governance," said Nick Elprin, co-founder and CEO of Domino. "Domino's Winter Release gives enterprises the agility and control they need to deliver agentic systems that drive real business impact."
"Fragmented tools and ad-hoc processes are critical obstacles keeping agentic AI stuck in prototype," said Shawn Rogers, CEO of BARC US. "Enterprises need a single governed lifecycle and a unified platform that connects experimentation, evaluation, deployment, and monitoring of agents at scale. This approach gives teams the ability to iterate rapidly and move agents to production with confidence."
The platform supports high-stakes use cases in regulated sectors. Financial services organizations can govern agents combining credit models, market data, and compliance logic. Government agencies gain transparent coordination of data, policy, and human oversight. Life sciences teams accelerate research and regulatory processes with full traceability.
Domino's integrated approach replaces siloed tools with a single, governable foundation, accelerating enterprise adoption of agentic AI while preserving trust, compliance, and operational reliability.
About Domino Data Lab
Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino's Enterprise AI Platform provides an integrated experience spanning model development, MLOps, collaboration, and governance. With Domino, global enterprises deliver better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.
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