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Inoxoft Launches Offline AI Tool for On-Device Text Classification

PHILADELPHIA, July 30, 2025 (GLOBE NEWSWIRE) — Inoxoft, a custom software development company, has announced the release of WhiteLightning, an open-source CLI tool that enables developers to train and run fast, lightweight text classifiers entirely offline. This tool doesn’t rely on cloud APIs or large LLMs at runtime.

Built over a year by Inoxoft’s AI and ML engineering team, WhiteLightning was created to address a growing need: delivering intelligent, privacy-safe NLP to edge devices, embedded systems, and offline environments. Using a novel teacher-student approach, the tool distills LLM-generated synthetic data into compact ONNX models under 1 MB in size, ready to run anywhere.

“We built WhiteLightning to give developers full control over NLP and without the usual trade-offs,” said Liubomyr Pohreliuk, CEO at Inoxoft. “You don’t need a 175B model on standby. You need something that works offline, fast, and reliably, something you can ship.”

Why it matters

Under the hood

WhiteLightning is not a hosted SaaS. It’s a production-grade CLI utility aimed at engineers who want precise, controllable, local-first AI capabilities without extra infrastructure.

Built and backed by Inoxoft

WhiteLightning is developed and actively maintained by Inoxoft’s ML engineers and OSS team:

Try it yourself

WhiteLightning is available on GitHub with full documentation, test examples, and deployment templates.

Explore the Repo
Read the Docs

For developers who need real-world NLP—fast, free, and fully offline—WhiteLightning offers a clean, powerful alternative to hosted LLMs.

Contact:
pr@inoxoft.com

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/31f97979-3089-48c3-b2ab-7a1217a7dfa0


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