Weights & Biases is recognized as an Emerging Leader for Generative AI Engineering category

Weights & Biases is proud to be in the 2025 Gartner® Innovation Guide for Generative AI Technologies. Here's what you need to know.

Chander Matrubhutam

Created on June 26|Last edited on June 26

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We’re proud to announce that Weights & Biases has been recognized as an Emerging Leader in the 2025 Gartner Innovation Guide for Generative AI Technologies. We believe this recognition reflects our deep investment in AI observability and governance tools that leading enterprises and foundation model builders rely on to develop agentic AI and large language models. Our mission is to equip developers and ML engineers with the best tools to build AI agents, applications, and models.
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Put agentic AI into production with Weights & BiasesWeights & Biases offers an end-to-end platform to take AI from idea to production.
﻿W&B Weave helps you evaluate, monitor, and iterate on LLM-powered agents and applications
﻿W&B Models helps you train, fine-tune, and manage AI models
﻿W&B Inference powered by CoreWeave makes it easy to access top open source models via the playground and API
These tools come together in a single, unified platform, designed from the ground up for enterprise-grade performance, scalability, governance, and security. We continue the rapid clip at which we are adding new features to help customers stay at the frontier of AI development. Here is a sample of the latest features we announced in the past quarter:
﻿W&B Inference powered by CoreWeave provides playground and API access to popular open-source LLMs 
﻿Online Evaluations enable continuous monitoring and iteration of AI agents and applications in production
﻿CoreWeave Mission Control’s infrastructure observability now integrated into W&B training workflows
﻿Traces log video, expanding multimodal support
﻿Trace trees tailored for agentic system
﻿Integrations with agent frameworks such as OpenAI Agents SDK and CrewAI 
Built-in support for open standards such as Anthropic’s Model Context Protocol (MCP) and OpenTelemetry﻿
﻿Saved views for seamless collaboration
﻿EvaluationLogger API for advanced logging
﻿Automatic notifications based on run metrics 
﻿Shared run mode for distributed training
﻿Semantic coloring to visualize patterns in your runs using specific metrics such as eval accuracy and GPU utilization
With Weights & Biases, customers feel future-proof, confident that we’re continuously innovating on their behalf and equipping them with the cutting-edge tools they need to stay ahead in the rapidly evolving world of AI.
Ready to get started with agentic AI? Leverage our AI Advisory Services and build your proof of concept today.
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Gartner, Innovation Guide for Generative AI Technologies, Generative AI Team, 17 June 2025
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