New Relic launches startup AI observability programme

New Relic has launched a startup programme for early-stage companies building with artificial intelligence. The scheme combines free access to its observability platform with engineering support.

The programme targets startups at Series A or earlier that are building with large language models, agents and AI-generated code.

Called New Relic for Startups, it offers five users and monthly data ingest at no cost, along with access to AI monitoring tools, SRE Agent and related AI features. It also includes launch-day support from a dedicated engineer, quarterly architecture reviews with Principal Engineers, ongoing office hours with Forward Deployed Engineers and peer troubleshooting sessions with other founders.

The launch reflects growing concern among software companies about the operational risks tied to the rapid deployment of AI-generated code. New Relic cited findings from its 2026 State of AI Coding report showing that 94% of leaders rated AI-generated code as higher quality than human-authored code at the review stage, while 78% reported more incidents after that code had been deployed.

That gap points to a problem for young companies with small engineering teams and limited site reliability resources. Startups often release products quickly across multiple layers of their technology stack but may lack the visibility needed to identify failures before they affect customers, fundraising efforts or key product launches.

Support model

New Relic is positioning the scheme as more than a credits-based startup offer. Alongside free use of the platform, it is providing engineering resources intended to help founders prepare major releases and address operational issues as their systems grow more complex.

Jemiah Sius, Vice President of Market Strategy and Developer Relations at New Relic, described the programme as a response to the pressures created by fast software shipping cycles in AI-led businesses.

"Scaling at the speed of AI means shipping faster than ever, but you can't scale what you can't see," said Jemiah Sius, Vice President of Market Strategy and Developer Relations at New Relic.

"Growth requires absolute clarity into how your stack performs when the pressure is on. We're not just handing out credits. We're bringing our technology and Forward Deployed Engineers together to give founders the observability foundation they need to launch confidently and scale without limits," Sius said.

Startup focus

The programme is open to vetted startups and is designed to support companies from launch through early growth. Participants will also have a path into a standard commercial relationship as they expand.

Observability platforms have become more central to software operations as companies seek to track performance across applications, infrastructure and user-facing services in real time. For startups building AI products, that task can become harder as systems rely on multiple models, external services and generated code that may behave unpredictably in production.

By offering support from its own engineers, New Relic appears to be targeting a common weak point in the startup market: companies that need production oversight but cannot yet justify building large internal reliability teams. Its inclusion of architecture reviews and office hours suggests an effort to embed itself early in the technical workflows of founders and engineering teams.

One early participant is UseBump, whose Chief Operating Officer said reliability was a priority as the company scales.

"Scaling our product means our infrastructure has to perform flawlessly when it matters most-even without a massive SRE team behind us," said Sir Charles Hill, Chief Operating Officer of UseBump.

"Joining the New Relic for Startups programme will give us the enterprise-grade visibility and expert guidance we need to stay reliable as we scale. We don't just view New Relic as a vendor, but as a long-term partner in our growth," Hill said.

The offer underlines how infrastructure and monitoring suppliers are competing for influence earlier in the lifecycle of AI startups, where technical failures can quickly damage customer trust. In this market, access to engineers and direct operational support may prove as important as free software access for founders trying to move quickly without losing control of their systems.