Deep-tech systems research · India
AI and modern software run on borrowed foundations — someone else's OS, someone else's runtime, someone else's cloud — stacked in layers that nobody can optimize end to end. Saraswati Systems is building the whole stack in-house: language, data engine, AI runtime, and operating system. It starts where the hardest engineering is already done — our own compiler — and grows layer by layer into one substrate you own end to end.
Every AI company today rents its foundation — a foreign OS, a third-party runtime, a hyperscaler's cloud — stacked in layers no single team can see across, let alone optimize. That means no control over cost, no control over performance, and no control over the supply chain underneath the most strategic software on earth.
We believe the answer is sovereignty by construction: build every layer yourself, from the kernel to the model, so nothing between your code and the silicon is borrowed. The language comes first — it is the one layer every other layer is written in. Own it, and you can optimize across the whole stack at once, and no one can pull the floor out from under you.
“The framework is eating the software. We give it back to whoever owns the machine.”
Language first, because every other layer is written in it. Status shown honestly: what runs today, what's in progress, and what's in design.
Our own systems language, compiled to native code. Designed for C-class speed with compile-time safety checks.
enum Shape { Circle(i32), Rect(i32, i32) } fn area(s: Shape) -> i32 { match s { Shape::Circle(r) -> r * r * 3, Shape::Rect(w, h) -> w * h, } } fn main() { println(area(Shape::Rect(3, 4))) // 12 }
One multi-model database beneath every workload — row, column, time-series, blob, and vector in a single engine, built for AI workloads.
Models and GPU kernels built in-house, from first principles — no borrowed framework underneath.
A secure operating-system kernel, designed to be written entirely in our own language.
Each milestone is a demo, not a slide.
mylang ready to build our own OS and products on, benchmarked against C, Rust and Python.
A UFOS kernel, written entirely in mylang, booting on real hardware.
Data engine and AI runtime running natively on UFOS — one substrate, owned end to end.
Because the layers are built in-house, they compound — each one makes the next faster and cheaper to build, and harder to replicate from the outside.
When one team owns the language, runtime and kernel, it can optimize across all of them at once — from scheduling to tensor kernels.
Built to remove dependence on foreign clouds and third-party frameworks. Deploy on your own silicon, on-prem or air-gapped.
AI, databases, or systems software — one substrate to learn, secure and maintain.
The compiler works and is tested. The data engine runs. The AI stack trains on our own kernels. The OS is designed and taking shape in our own language. We're raising to unify these layers into one platform — the fast, independent foundation for AI and every system after it. If you back deep, patient, category-defining infrastructure, we'd like to talk.
