Blog

Notes from the workshop.

Deep dives on our products and research — inference engines, GPU compilers, backend infrastructure and AI security, written by the team building them in Nagercoil.

FeaturedResearchMay 28, 20267 min read

Inside ZSE: how we cut LLM cold starts from minutes to seconds

Most inference engines spend minutes just getting a model ready to serve. ZSE rebuilds the stack from first principles so a 7B model is live in seconds — on a single T4.

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locomp

ResearchMay 20, 2026

locomp: write a GPU kernel once, run it everywhere

One Python function, four hardware backends. locomp compiles plain Python into native Metal, CUDA, HIP and RISC-V vector code through a single SSA intermediate representation.

Building zMesh: a complete backend you can ship in minutes

Postgres, auth, storage, realtime and edge functions in one place. Here's how zMesh collapses the backend stack so you can spend your time on the product, not the plumbing.

Nexula AIBOM: securing your entire AI supply chain

Models, datasets and dependencies are software too — and they ship with risk. Nexula generates an AIBOM, scans for vulnerabilities and scores your AI stack against real compliance frameworks.

zBrowser: browser automation that drives itself

Spin up real browsers on demand, drive them with AI agents and extract structured data at scale — with stealth and proxies handled for you. A look at how zBrowser works.

Why we own the full stack — the Zyora Labs philosophy

From kernel compilers to inference engines to file formats, we rebuild from first principles instead of stacking dependencies. Here's the thinking behind that choice.