This article covers Airspeed, an AI startup, which has raised £15m in a growth funding round to scale its agent-native go-to-market platform, hire internationally and deepen its US presence. The funding aims to support Airspeed’s expansion and development of autonomous agents for sales and revenue operations, targeting commercial teams and enterprise go-to-market processes.
Airspeed, an AI startup, has raised £15 million in a growth funding round to scale its agent-native go-to-market platform, hire internationally and deepen its US presence; the company says this takes total funding to more than £19 million. The capital will be used to scale Airspeed’s proprietary technology and expand global teams as it pushes autonomous agents into the revenue stack.
Sales and revenue operations are awash with data but often lack a practical way to convert insight into action. Airspeed is positioning itself as a “system of action” for commercial teams: software that not only analyses deals but executes the next steps across calls, emails, tickets and CRM. If it delivers, the platform could cut manual follow-up work for reps, reduce CRM drift and reframe how enterprise AI is applied to go-to-market processes.
Airspeed’s platform is built around three architectural layers and a centralised memory that holds a unified view of a company’s commercial context. On top of that it provides a library of purpose-built autonomous agents that can update systems automatically, flag deal risks and generate follow-ups. The company says the agents operate on live deal state rather than stale snapshots.
Operational metrics the company shares: headcount has doubled over the last year and revenue has increased fourfold. The platform serves around 200 customers across 20 countries; notable customers named include Persona, Pricefx, Light and Qdrant, which illustrate use cases from identity and security (Persona), pricing orchestration (Pricefx), digital commerce infrastructure (Light), and vector search/embeddings tooling (Qdrant). In early 2026 customers reportedly built thousands of custom agents in the first four months and monthly run volume nearly tripled from January to April. One customer example, Foleon — an enterprise content creation and governance tool — reportedly saved more than $193,000 and reclaimed six hours per rep per week within its first 90 days on the platform.
Airspeed’s new funding brings in capital from institutional backers and corporate venture arms. The company reports the round values at £15 million, taking total raised to more than £19 million. Participants include Vi Partners, Framework Venture Partners and Atlassian Ventures.
In the announcement, Thomas Rubens, Partner at DN Capital, said:
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.
Airspeed’s investor mix combines traditional VC interest with strategic corporate backing, reflecting appetite among investors for enterprise AI plays that go beyond generative chat and embed execution into business workflows.
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In the announcement, Adam Liska, Co-founder & CEO at Airspeed, said:
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.
In the announcement, Devang Agrawal, Co-founder & CTO at Airspeed, said:
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 founders’ background — they were previously research scientists at DeepMind and have assembled engineers from Meta, Apple and Spotify — is presented as a differentiator that combines research expertise with product engineering.
Airspeed’s raise comes at a time when investors and corporates are hunting for enterprise AI applications that move beyond conversational interfaces to embed automation into business workflows. The company’s focus on a “system of action” and its US expansion plans mirror a broader trend of UK AI startups scaling internationally while seeking larger commercial contracts.
For the UK and European ecosystem, the deal highlights continued momentum around enterprise AI productisation and the role of both VC and corporate venture capital in scaling teams with heavy research pedigrees. If Airspeed converts early customer efficiency gains into broader adoption, it could be an example of startups turning advanced AI research into repeatable revenue outcomes for sales and revenue organisations.
| Investors | Investment Focus | Startup Investments | Round Size | Connect |
|---|---|---|---|---|
![]() DN Capital( ) | ||||
![]() Vi Partners( ) | ||||
![]() Framework Venture Partners( ) | ||||
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