
Engineering potential, unlocked.
Utilise specialist AI engineers to automate control software delivery and free humans to create what’s next.
/ Team Experience
/ Built by engineers for engineers
Control software engineers operate at 10% of their potential — trapped in endless delivery, blocked from real innovation. Until now.
Develop control software without compromise.
The only way to unlock the next step of what’s possible with software-defined hardware is to achieve 100% automation of software development. We won’t get there with code automation that needs human review.
Unlike LLM-based tools that depend on human review and manual fixes, Hypercritical’s model delivers fully automated, production-grade software. It does not just replicate patterns. It engineers novel possibilities. That means you can scale faster, spend less, move quicker, and achieve uncompromised quality all at the same time.
What makes Hypercritical's machine learning different?
True automation
Achieve up to 80% cost reduction by removing the need for manual coding and human validation. Hypercritical replaces the cycle of writing, reviewing, and fixing with outputs that are 100% valid every time.
Parallel problem-solving
With less reliance on scarce specialists, multiple approaches can be tested simultaneously. This expands innovation and removes bottlenecks.
Elevated quality, human-led
Engineers are freed from repetitive tasks and can focus on what matters most: strategic oversight and quality control. Our AI-generated test suite provides a strong foundation and enables even higher standards when required.
Hyperpilot ^
Copilot ^
LLM-based productivity tools that automate critical factors in your software development process, freeing your engineers for vital work.
Founders Alexey and Elie met each other at Arrival, where every coffee break or after-work beer chat consisted of what idea would be cool, or what was broken in the industry they had spent 12 years in. After deciding that the most urgent problem was the lack of capacity, and capability, in software engineering, they decided to found Hypercritical^ and build the first ever AI super-engineer.

Elie Talj
After completing his Mechatronics and Computer Science degrees at the University of Melbourne, Elie was only interested in entering the automotive industry. The UK’s love of engineering inspired him to move halfway across the world to work for Jaguar Land Rover and McLaren. After delivering multiple vehicle systems, including the world’s most power-dense traction battery in the McLaren Speedtail, he left to join Arrival, where he led the Electric Drive team, engineering vehicles for the land, sea, and sky.

Alexey Barinov
One of the top 40 STEM students across Russia, Alexey completed his Masters in Physics at Moscow State University in 2012, where he quickly became the youngest ever project manager at Marussia Motors. He joined Arrival, which eventually took him to the UK in 2019, where he was a critical part of the journey of Arrival from startup to IPO, leading all of the hardware and software engineering for the High Voltage systems.
Redefine how software is built. One odd piece at a time.
At Hypercritical, we build differently. We’re deep in the weird parts of tech — where the rules aren’t written yet.
That means faster decisions. Sharper thinking. Relentless curiosity. We have a bold vision for the future of software development — and we plan to shape it. But we can’t get there without the best.
That’s where you come in.
What you can expect:
A true meritocracy: No tick boxes. No pigeonholes. Just people who bring energy, hunger, and a willingness to dive in — wherever they’re needed.
Blunt honesty: We don’t lie. We don’t hide. We default to full transparency.
Delivery first: We’re not running science projects. We know what needs to be built. But we don’t get married to ideas. The best solution wins — always. Challenge us.
What we look for:
Hungry, energetic, and looking for something different.
Driven to build what no one else has.
Motivated by seeing real-world impact.
Smart enough to think from first principles — not just experience.

