Airspeed, an agent-native platform for go-to-market execution, has raised £15 million in a Series A led by DN Capital, with participation from Vi Partners, Framework Venture Partners, and Atlassian Ventures. The round brings total funding to more than £19 million. New capital will be used to scale Airspeed's proprietary technology, hire new global talent, and expand its United States presence.
Revenue teams typically have systems of record and systems of intelligence but lack a system of action - one that understands their commercial context and executes the next steps. Airspeed addresses this gap by deploying autonomous AI agents that act on commercial contexts across calls, emails, tickets, and CRM. The platform operates across the entire revenue workflow of an organisation, automatically updating systems, flagging risks, and generating follow-ups to help sales teams close deals. Its architecture has three layers, built on a unified understanding of each company's commercial context. A persistent layer of memory centralises knowledge across the go-to-market process, keeping humans in control, while a growing library of purpose-built agents executes across the revenue workflow.
Founded in 2022 by two former DeepMind research scientists, Airspeed was previously known as Glyphic. The team has assembled AI and engineering expertise with backgrounds at Meta, Apple, and Spotify, and operates from offices in London and New York. Over the last year, headcount has doubled and revenue has grown 4x. The platform now serves 200 customers across 20 countries, including Persona, Pricefx, Light, and Qdrant. Customers built thousands of custom agents on the platform in the first four months of 2026, with monthly run volume nearly tripling from January to April. Foleon, an enterprise-grade content creation and governance tool, saved more than $193,000 and reclaimed six hours per rep per week in its first 90 days.
Revenue teams have systems of record and systems of intelligence. What they don't have is a system of action - one that understands their unique commercial context and does the work. Dashboards weren't wrong; they were incomplete. The next leap comes from agents that close the loop.
Most teams retrofit AI onto legacy systems. We built the foundation from scratch. Airspeed is a unified understanding of commercial context, an agent runtime with the right guardrails, and rigorous evaluations so every action is trustworthy. Our agents act on the live deal, not a stale snapshot of it.
Every CEO wants a single source of truth for what is driving the business. The next wave of enterprise AI belongs to systems that turn insight into execution. Airspeed is building that system of action for modern organisations: combining real-time commercial visibility with AI agents that help teams execute faster and more consistently across the customer journey.
The next wave of enterprise AI belongs to agents that act on deep context, not chat that summarises it. We see that shift happening firsthand at Atlassian. Airspeed is bringing the same paradigm to the revenue stack, with the research rigour of a team built out of DeepMind. They're not building another point solution; they're building the system of action modern GTM has been missing.
