Apps & Consumer
New Relic launches no-code platform for AI observability agents
New Relic has launched a no-code platform for managing AI agents and new OpenTelemetry tools, aiming to simplify data observability for enterprises adopting AI.
On Tuesday, New Relic unveiled a no-code agentic platform—software for building and managing artificial intelligence agents without coding—to help enterprises deploy and manage AI agents for data observability. The platform is designed to let companies put together data observability AI agents that monitor a company’s data to catch bugs and issues before they disrupt products. Called the New Relic Agentic Platform, the system allows companies to deploy prebuilt agents and manage existing bots as well. It also supports the model context protocol (MCP), a standard for connecting AI applications to external data sources, and integrates with other New Relic tools.
The launch follows similar moves by other technology providers. Salesforce was arguably the first to release an agent platform, launching Agentforce in late 2024. Earlier this year, OpenAI launched its own version of the technology, OpenAI Frontier. Research organization Gartner has called such agent platforms “necessary infrastructure” and a critical component for getting enterprises to adopt AI.
New Relic does not intend to be the only platform companies use to manage and deploy all of their AI agents, Brian Emerson, the company’s chief product officer, told TechCrunch. Instead, the company is targeting outcomes specific to the observability domain. “We’re not building this as general purpose. 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,” Emerson said.
Alongside the agent platform, New Relic revealed new tools focused on OpenTelemetry (OTel), an open-source observability framework. The company’s application performance monitoring (APM) agents are now equipped with OTel capabilities, allowing enterprises to manage OTel data streams alongside their other data sources in a single place. This integration is aimed at solving a previous fragmentation problem that was holding up mass enterprise adoption of the OTel framework. Nic Benders, chief technology strategist at New Relic, noted that running OTel data collectors is often a burden for teams, making OTel fleet management highly important for reducing data fragmentation.
Why it matters
New Relic’s new platform attempts to solve the fragmentation issues enterprises face when managing AI agents and observability data. By integrating these capabilities, the company positions itself as a critical layer in the enterprise AI infrastructure stack.