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Hyperpilot

Hyperpilot is a control‑software automation platform that uses a proprietary machine‑learning model to generate fully functional code with 100 % accuracy, eliminating manual coding, testing, and documentation.

Traction 6/10
London, United Kingdom · HQ
Founded 202310500+ followers
  • Artificial Intelligence
  • AI Agents
  • Developer Tools
Updated 1 month ago

Funding

Raised to date

$2.7MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 1 round

JCTS

£2M · Pre-Seed

Announced Dec 2025

Disclosed cumulative: $2.5M

Founders

1 founder

Sebastian von Ribbentrop

Founding Partner

Product

Problem

Developing control software for physical systems is labor-intensive, error-prone, and requires extensive manual coding, testing, and documentation, especially in safety‑critical domains such as automotive, aerospace, and defence. The need for expert review of generated code limits scalability and increases time‑to‑market.

Solution

Hyperpilot offers an automation platform that uses a proprietary machine‑learning model to generate control software code without human supervision, guaranteeing 100 % functional accuracy. The platform, called Autopilots, integrates directly with existing development toolchains, eliminating reliance on legacy code and producing domain‑agnostic solutions in real time. Specialized Copilots extend the automation to related tasks such as unit‑test generation, requirements tracing, and documentation creation, further reducing engineering effort. By delivering code that is ten times faster and cheaper to produce, Hyperpilot enables engineers to focus on higher‑value innovation while maintaining the rigor required for safety‑critical applications.

Target Audience

Primary customers are control software engineers and system developers in automotive, aerospace, defence, and other safety‑critical industries who need rapid, reliable code generation and automated testing and documentation.

Features

  • Fully unsupervised generation of control software code with a machine‑learning model that guarantees 100 % functional correctness
  • Seamless integration with standard development toolchains and processes, requiring no legacy code dependencies
  • Autopilot capability to invent novel control algorithms for any physical system domain in real time
  • Copilot tools that automatically create high‑quality unit tests, traceability matrices, and industry‑standard documentation from requirements or prototype code
  • Scalable deployment model allowing unlimited parallel generation of control software solutions
  • Optimized for safety‑critical sectors, delivering 10× faster development cycles and 10× lower cost
This profile is AI-generated and may contain inaccuracies.