New Relic launches new AI agent platform and OpenTelemetry tools | TechCrunch
Summary
New Relic has launched an AI agent platform and enhanced OpenTelemetry tools to improve data observability for enterprises, allowing better integration and management of AI agents.
Why It Matters
As enterprises increasingly adopt AI technologies, New Relic's new offerings provide essential tools for monitoring and managing AI agents, addressing concerns about data access and integration. This move aligns with industry trends emphasizing the need for robust observability solutions in AI deployment.
Key Takeaways
- New Relic's AI agent platform allows enterprises to create and manage observability AI agents.
- The platform integrates with existing tools and supports the model context protocol for external data connections.
- New Relic's enhancements to OpenTelemetry aim to streamline data management and reduce fragmentation for enterprises.
Companies are increasingly launching software to build and monitor AI agents in an effort to get enterprises to adopt AI. New Relic is no different. As the data observability company launches an AI agent platform of its own, it knows it isn’t the only game in town. New Relic on Tuesday unveiled a no-code agentic platform that lets enterprises put together data observability AI agents that monitor a company’s data to catch bugs and issues before they disrupt products. Called New Relic Agentic Platform, it lets companies deploy pre-built agents and manage existing bots as well. It also supports the model context protocol (MCP), which connects AI applications to external data sources, and integrates with other New Relic tools. New Relic isn’t looking to be the only platform that companies use to manage and deploy all of their AI agents, Brian Emerson, the startup’s new chief product officer, told TechCrunch. Instead, the aim is to offer clients the same agent-building capabilities they are getting elsewhere for observability as well. “We’re not building this as general purpose,” Emerson said. “We’re building it for outcomes that we care about inside observability. It’s also a world that allows us to work with the rest of the ecosystem or tools that exist out there, but bring it back into the context of problems we’re trying to solve around our personas and the observability domain.” Software that lets users manage AI agents has proliferated in recent months as companies look ...
