Enterprise spending on runtime control infrastructure is accelerating, and LaunchDarkly is the primary beneficiary: the Oakland-based platform has topped $200 million in annual recurring revenue, growing more than 25% year over year, with its AI-specific pipeline nearly doubling since May.
The ARR figure lands at a moment when the industry's focus has shifted from generating code with AI to governing what that code — and increasingly those agents — does in production. LaunchDarkly's platform processes more than 50 trillion feature flag evaluations daily, and since launching AgentControl in May 2026, it has extended that infrastructure to cover AI prompt management, model switching, and policy enforcement at runtime without requiring a redeployment.
Demand for AgentControl has split evenly between new and existing customers, the company said, a distribution that suggests both greenfield adoption and upsell within accounts already relying on the platform for standard feature management.
"Teams aren't just shipping code, they're building systems of agents that act and evolve in production around the clock," said Edith Harbaugh, co-founder and CEO of LaunchDarkly. "LaunchDarkly provides the runtime control layer that makes these factories safe."
Jonathan Nolen, SVP of product, framed the problem more bluntly: agents don't surface bad behaviour in code review, they surface it in front of customers. AgentControl targets that gap — offering correction in seconds rather than through a full deployment cycle.
On the go-to-market side, LaunchDarkly has hired Andy Pemberton as chief revenue officer. Pemberton spent nearly a decade at OutSystems, where he eventually ran global revenue across the Americas, EMEA, and APJ as the company scaled past half a billion in revenue. At LaunchDarkly he will oversee sales, solution engineering, professional services, partnerships, and customer success.
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