Airspeed raises £15M Series A to put autonomous AI agents inside revenue teams
June 4, 2026
Airspeed, the London- and New York-based platform that deploys autonomous AI agents for revenue teams, has raised £15 million in a Series A led by DN Capital.
Sales organisations have spent a decade buying software that tells them what is happening — dashboards, call recordings, analytics — without much that acts on it. Airspeed's argument is that revenue teams already have a system of record and a system of intelligence but lack a system of action: something that understands a company's commercial context and executes the next step instead of surfacing it for a human to handle later.
The platform, formerly known as Glyphic, runs autonomous agents across calls, emails, support tickets and the CRM. Its architecture has three layers — a persistent memory that centralises commercial context, a runtime that executes a growing library of purpose-built agents, and an evaluation system intended to make each action auditable. In practice the agents update systems, flag deal risk and generate follow-ups, with the company stressing that humans stay in control.
Airspeed says it now serves around 200 customers across 20 countries, among them Persona, Pricefx, Light and Qdrant. Over the past year revenue grew roughly fourfold and headcount doubled, and customers built thousands of custom agents in the first four months of 2026. One customer, the content platform Foleon, reported saving more than $193,000 and reclaiming six hours per rep each week in its first 90 days. Co-founders Adam Liska and Devang Agrawal, both former DeepMind research scientists, started the company in 2022 and rebranded it from Glyphic in May 2026.
DN Capital led the round, with Vi Partners, Framework Venture Partners and Atlassian Ventures also taking part; the raise brings total funding above £19 million. Airspeed plans to use the capital to develop its technology, hire globally and expand in the United States. Thomas Rubens, a partner at DN Capital, framed the investment as a bet that the next wave of enterprise AI will belong to systems that turn insight into execution.
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