Former DeepMind founders secure $20 million for Airspeed's AI sales representatives.

Former DeepMind founders secure $20 million for Airspeed's AI sales representatives.

      TL;DRAirspeed, previously known as Glyphic, has secured $20 million in a Series A funding round led by DN Capital to develop an AI execution layer tailored for revenue teams. The startup, founded by two former DeepMind researchers, is based in London and utilizes autonomous agents that act on sales signals instead of simply highlighting them.

      The standard pitch for any AI sales tool promotes the same narrative: increased signals, enhanced insights, and improved forecasting. However, what’s often omitted is that many of these insights are frequently overlooked. Sales representatives become overwhelmed by dashboards, and CRM records become outdated. Crucial deals that could have closed last week fail to materialize because no action was taken on a significant intent signal received on Tuesday.

      Airspeed addresses this issue directly, having raised $20 million in a Series A led by DN Capital, with contributions from Vi Partners, Framework Venture Partners, and Atlassian Ventures. The new funding brings Airspeed’s total capital raised to over $25 million, which includes an earlier pre-seed round of more than €5 million.

      Transforming insights into actions, Airspeed implements autonomous AI agents that operate across calls, emails, support tickets, and CRM systems. Instead of merely surfacing insights for humans to follow up on, these agents take action by updating records, identifying risks, generating follow-ups, and routing tasks without waiting for a sales representative to respond.

      Co-founders Adam Liska and Devang Agrawal, who left DeepMind in 2022 to establish the company from a small WeWork in London, frame the challenge as one of execution rather than intelligence. Liska, who possesses a PhD in brain and cognitive sciences and has previously worked at Spotify and Facebook, emphasizes that having extensive data alone is insufficient if execution does not occur at the right time and in the right manner.

      Agrawal, an engineering graduate from Cambridge, shares that the relationship with DN Capital began not in a formal setting but at a customer event in Stockholm, where the investor witnessed the high level of customer engagement. The company was initially branded as Glyphic but rebranded to Airspeed on May 20, 2026.

      Airspeed claims to have quadrupled its revenue year-on-year and currently caters to nearly 200 customers across 20 countries, including identity verification platform Persona, vector database provider Qdrant, and pricing software firm Pricefx. During the first four months of 2026, customers reportedly built thousands of custom agents on the platform, with monthly run volume nearly tripling from January to April, according to VentureBurn.

      The company operates in both London and New York and intends to use the new funding for product development and hiring for its go-to-market strategy.

      Despite entering a competitive landscape, Airspeed sees a future where the market isn’t just about better analytics, but about agentic execution—AI that performs tasks rather than just advising humans on their next steps. The involvement of Atlassian Ventures is significant as the company has been developing its own agent ecosystem around Confluence and Jira, indicating a strategic alignment with revenue operations.

      Whether agentic AI in sales marks a true evolution or is merely a rebranding of CRM automation will hinge on whether solutions like Airspeed can prove they deliver superior outcomes compared to traditional dashboards. The founding team’s background from DeepMind offers credibility to the technical approach, but the real challenge lies in persuading revenue leaders that an invisible agent can outperform a visible sales representative.

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Former DeepMind founders secure $20 million for Airspeed's AI sales representatives.

Airspeed has secured $20 million in a Series A funding round led by DN Capital to develop agentic AI capable of autonomously carrying out go-to-market tasks, rather than merely providing insights.