We’re Building the Future of Automotive With SDV, AI and Digital Twin, Today: Sergey Malygin, CEO of SODA.Auto

SODA.Auto is a software company that enables automakers to engineer and certify software-defined vehicles much more quickly and affordably. The company offers a suite of tools known as the SODA V platform that includes ready-to-use libraries, simulation environments, validation workflows and system testing rigs. Businesses can move from concept to certification in a fraction of the time and cost they once required without letting go of safety or reliability.

Sergey Malygin, the co-founder and CEO, leads the London-based team of around 60 engineers. He previously guided development at Roborace and Arrival, and he launched SODA.Auto in 2023 with a goal to give businesses tools that let them focus on innovation rather than integration.

A Simple Yet Powerful Vision

Sergey explains what drives their work. In a market where legacy tools can take five years and tens of millions of dollars just to bring a single model to approval, that timeline feels unsustainable. SODA.Auto set out to change that by offering tools that cover the entire software development environment from design and simulation to validation and certification.

He says building a vehicle model should be as easy as writing code instead of bridging fragmented systems across countless vendors. “We imagine a world where launching a new vehicle model takes just a few clicks,” he says.

The Tools That Drive Progress

At the center of SODA.Auto’s offering is the SODA V toolkit which is an integrated platform for Software, Electronics and Electrical architecture. It includes:

1) SODA.Create for designing software and wiring architecture

2) SODA.Validate for automated compliance checks with quality, safety and cybersecurity

3) SODA.Sim for 3D hardware-in-the-loop and software-in-the-loop simulations

4) SODA.CI/CD for continuous integration and testing workflows

5) A rich library of software modules with more than 200 features including drivetrain, lights, ADAS and autonomous systems

That package replaces an unwieldy toolchain with one unified workflow, saving both time and risk.

Digital Twins and AI Agents for Smarter Workflows

The Digital Twin feature provides a virtual copy of the vehicle and its systems, enabling engineers to test and refine behavior before building physical prototypes. This allows rapid iteration and early detection of issues.

On top of that, Multi Agent Generative Systems bring in AI powered agents that carry out specialized tasks such as drafting requirements, checking compliance with standards, optimizing test plans and updating documentation. Those agents work in tandem across complex workflows, speeding up delivery and reducing human effort sharply.

Quality by Design

Speed does not come at the expense of safety at SODA.Auto. Sergey emphasizes that the tools are built to meet or exceed industry standards from the earliest design phases. Simulation, testing and validation are embedded from the start so every vehicle model is engineered with confidence, not guesswork.

He says that when systems are designed with rigorous protocols in mind, engineers can move faster without stepping into risk. The SODA platform ensures that validation is built into every step, not added on as an afterthought.

Gaining Real Traction

Since launch, SODA.Auto has moved rapidly. The company raised six million dollars in seed funding and expanded its team. Tools like SODA V took just over a year to build, yet already perform workflows that once took months now in minutes, and vehicle validation that once took years now in under one year.

Clients from automotive startups to established manufacturers report major cost and time savings with significantly higher confidence in software quality. One early user noted that tasks like test sequence writing dropped from days to minutes.

Leadership That Knows the Road

Sergey Malygin leads with insights from his time managing engineering teams at Roborace and Arrival. He brings that hands-on experience to SODA.Auto, balancing ambition with discipline. He listens closely to customers and stays grounded in real engineering challenges.

“I know what it takes to ship a vehicle under impossible timelines,” he says. He also credits his colleagues for keeping the platform focused on practical outcomes, not theoretical innovation.

What is Next for SODA.Auto

The company aims to expand its tools to include system level modeling, requirements management and deeper integrations across design, testing and validation workflows. More industries are taking notice, with rail, marine and aerospace already exploring pilot use cases.

SODA.Auto expects to support the creation of 150,000 software defined vehicles by 2027 and reach one hundred million dollars in revenue. Sergey holds to the view that long term success rests not on flashy growth but on consistently delivering tooling that works year after year.

SODA.Auto is proving that vehicle development can move at modern speeds without sacrificing safety or quality. By combining digital twins, AI agents and unified development platforms, Sergey Malygin and his team offer automakers tools that turn engineering from a slow cycle into a nimble process.

What matters most is that vehicles become faster to develop, easier to update and more resilient by design. The future of vehicle software is defined less by complexity and more by clarity, speed and the trust engineers have in their tools.

Sergey Malygin, CEO, SODA.Auto

We imagine a world where launching a new vehicle model takes just a few clicks.