Governments, enterprises and startups design, manufacture and operate sophisticated physical products from one integrated stack — at the speed of writing software, and without handing the know-how to anyone else.
Most organisations buy engineering one project at a time and own nothing at the end of it. Djinious is the platform underneath instead — so every system you build makes the next one faster, cheaper and more yours.
Design, electronics, embedded software, robotics and local manufacturing in a single environment. No integration tax, no coordination overhead, no finger-pointing.
A components library with digital twins and programmatic interfaces means systems assemble like software instead of being drawn from scratch every time.
The IP, the tooling and the production line stay with you. Engineering independence is the point of the platform, not an upsell on top of it.
Every product means coordinating dozens of vendors — engineering firms, electronics, mechanical, software, overseas production and logistics.
High engineering cost, slow iteration and a path from idea to production measured in years.
The industry standardizes the product, not the process — so it rarely fits the real need, making it too costly in use and across the whole value chain.
With AI, hyperspecialization is losing its edge to hyperintegration — far more robust against the market’s ultra-fast shifts.
Organisations want to design, build and own their technology — but the engineering stack was never built for it.
Mechanical CAD, electronics, embedded software, robotics and AI-assisted engineering — combined in one environment.
Digital production workflows, manufacturing automation, supplier independence and local production capability.
Every product becomes a managed engineering asset — software lifecycle, documentation, reproducibility and continuous improvement.
From idea to production in weeks instead of years.
Four products on one stack. Each is useful on its own; together they are the reason a system that took a year now takes weeks.
An AI-native engineering environment for exploring, specifying and validating systems — interactive computing, block-diagram modelling and simulation in the browser, with generation down to embedded targets.
Cloud-native, with worked use-cases showing the platform in action.
lab.djinious.comA proven-code toolchain for safety-critical embedded software (IEC 61508 · SIL 4). Safety functions are specified and proved in Lean 4, then generated as panic-free no_std Rust — with a machine-checked certificate that the shipped code equals its spec.
Five reference safety functions certified end-to-end.
Design a system and its full architecture from the Components Library. Each component ships with a digital twin and a programmatic interface — so systems assemble like software.
Integrated with NVIDIA Isaac Sim™ for physics simulation.
workshop.djinious.comThe operations layer: real-time supervision, a live digital twin, alarm management and BPMN-driven process automation with an embedded AI copilot — the control room for the systems you build on the platform.
ISA-101 high-performance HMI; proven on green-energy plant operations.
cc.djinious.comThe Components Library is where the advantage accumulates. Every delivery adds reusable, twin-backed hardware and software components — so reuse rises, cost per system falls, and the platform gets better at your problem the longer you use it.
Each component carries a digital twin and a programmatic interface, so systems compose like software.
Design, simulation, software and manufacturing connected end-to-end — the advantage rivals can’t buy.
The same library builds USV, UAV and UGV systems — and the industrial devices around them.
Mission-critical systems where modularity, IP control and fast iteration are decisive.
Specialised devices, tools and automation for industry and the energy sector.
Platforms for research, prototyping and building local engineering talent.
Ventures that need engineering infrastructure to reach market fast.
Any organization building domestic engineering capability can skip a generation of industrial development by adopting an integrated foundation stack from the start — rather than assembling one out of decades of legacy tooling.
Several global shifts make that possible now: nations and enterprises are investing in domestic engineering and manufacturing, supply chains have become a board-level risk, AI has collapsed the cost of design and simulation, manufacturing has become modular and local, and autonomous systems are spreading across every industry.
“To orchestrate a solution to a structural problem, it takes a 360° view based on experience.”Victor Andritoiu, Founder & CEO
Two decades turning complex systems into shipped products — from urban-rail validation at Alstom to founding ventures across real-time simulation, modular open hardware, cloud frameworks and agentic AI. A full-stack builder who designs, engineers and manufactures.
Founder of Resologi and father of the Dainsy product — a career spent shipping electronics and automation into critical infrastructure, on 20–30 year lifecycles.
IV&V manager for urban-rail platforms — critical systems, delivered worldwide.
Built the Open System Simulation Solution, sold to a competitor in 2015. First exit.
Complex-systems house behind IgnitialIO, Tukhla and Taonautics — the Djinious engine.
Design and manufacture locally in the EU at low cost — the proving ground for on-demand, in-house production.
Tell us what you need to design, manufacture or operate. We’ll tell you honestly whether the platform is the right way to do it — and what the first weeks would look like.
Investors:Djinious is raising a pre-seed round. Request the deck through the same form.
