Funding

Mutable Tactics Raises €1.8M Pre-Seed To Advance AI-Powered Drone Autonomy

Mar 4, 2026 | By Kailee Rainse

Cambridge-based DefenceTech startup Mutable Tactics has raised €1.8 million ($2.1 million) in pre-Seed funding to advance its agentic AI software for defence and security applications.

SUMMARY

  • Cambridge-based DefenceTech startup Mutable Tactics has raised €1.8 million ($2.1 million) in pre-Seed funding to advance its agentic AI software for defence and security applications.

The round was led by Seraphim Space, with backing from the UK’s National Security Strategic Investment Fund, Koro, Entrepreneurs First, and Transpose.

Founded in August 2024 by former British Army officer Colin MacLeod and robotics and AI specialist Enrique Muñoz de Cote the company aims to bridge the gap between the rapid deployment of unmanned systems and the human capacity to operate them effectively in real-world missions.

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Mutable Tactics is developing an AI-powered decision layer that enables unmanned aerial, maritime, and ground systems to function autonomously, even when communications or GPS signals are disrupted. Positioned between the human operator and the robotic platform, the software translates high-level mission intent into locally executable actions.

This allows mixed fleets of drones to coordinate as a team, adapt to changing conditions, and continue operating independently at the tactical edge.

By reducing reliance on constant human input, the platform enables scalable human–machine teaming, allowing a single operator to supervise multiple systems rather than manually controlling each one.

The new funding will support expansion of the engineering team in Cambridge, further development of the decision-layer software, integration with unmanned-system partners and validation projects with two European governments, including live demonstrations in demanding operational environments.

Colin MacLeod, CEO and co‑founder of Mutable Tactics said “Increasingly, the constraint is no longer hardware but human attention. We can deploy more drones than ever before yet we still ask operators to control them one by one, often in environments where communications are unreliable. True autonomy breaks that one‑to‑one link, allowing humans to supervise and direct teams of systems rather than individual machines. That shift is essential for supporting modern military missions, where scale, speed and resilience matter and where operators must remain focused on intent and outcomes rather than manual control.”

“There is no single AI technique that solves autonomy. Deep learning allows systems to operate in uncertain real-world environments while deterministic AI ensures their behaviour remains explainable and aligned with a commander’s intent. Combining both enables autonomy that is resilient in contested environments while preserving meaningful human control critical for military deployments. That fusion sits at the core of Mutable Tactics, and the UK’s leadership in probabilistic inference provides an essential foundation for this work,” said Enrique Muñoz de Cote, CTO and co-founder of Mutable Tactics.

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