Deterministic infrastructure for the AI era
MIND is a full, self-hosting systems programming language and compiler — deterministic by construction.
From ML models to systems code, the same source compiles to bit-identical output across CPU, ARM, and GPU — up to 176,000× faster than PyTorch — and every artifact carries a tamper-evident evidence chain.
About STARGA
We build compilers, not wrappers.
STARGA is a deep-tech company building the foundation AI runs on. Infrastructure this critical should be engineered from the ground up — deterministic, inspectable, and fast by design — not wrapped around someone else's runtime.
MIND is our flagship: a full, self-hosting systems programming language and compiler. The same source compiles to bit-identical output across CPU, ARM, and GPU, and every artifact carries a tamper-evident evidence chain — so a build you can't reproduce, or a result you can't audit, simply doesn't happen.
It's a complete systems language — a full cryptography, TLS 1.3, and HTTP-2 stack is written in MIND. No runtime surprises. No PyTorch-to-C++ rewrite for production. One language, prototype to proof.
Founded
2025
Delaware C Corp
Focus
AI Infra
Systems programming
Product
MIND
Open-core + commercial runtime
Contact
info@star.ga
1-877-STARGA-1
Why Mind
A full, self-hosting systems programming language and compiler.
MIND compiles high-level programs into deterministic, hardware-efficient native code—
bit-identical across CPU, ARM, and GPU, with a tamper-evident evidence chain in every artifact.
fn forward(x: Tensor[B, 784]):
h = relu(x @ w1)
return h @ w2
shapes verified
native binary
Tensor shapes in the type system
Tensor[batch, 784] × Tensor[784, 256] → dimensions verified at build time.
Shape mismatches become compile errors, not runtime failures.
Native-ELF backend
MIND compiles straight to native ELF binaries—no interpreter, no GIL, no GC pauses, no runtime VM. Your computation runs on bare metal, exactly as it was compiled.
A complete systems language
MIND is a full systems language: a complete crypto, TLS 1.3, and HTTP/2 stack is written in MIND itself. Prototype and production ship from one codebase—no rewrites, no framework lock-in.
Open core model
Mind uses a dual license: open core compiler you can inspect and modify, plus commercial runtime for enterprise deployment with support and guarantees.
Pricing
Start free, scale as you grow
Mind is open source at heart. When you need enterprise features, we're ready to support your scale.
Let's engineer your
deterministic infrastructure
Whether you're scaling AI systems or evaluating your compiler and runtime stack, our engineering team is ready for a deep technical conversation. Start free with the open-core MIND compiler — bit-identical across CPU, ARM, and GPU, with compile latency up to 176,000× faster than PyTorch — or explore the commercial runtime and hosted control plane.