Apache 2.0 licensed models, published research, and open-source projects from Eulogik. Built for edge deployment, regulated industries, and quantitative systems.
Byte-level text classifier that runs at <6ms with a 200KB ONNX export. Designed for edge deployment, air-gapped systems, and high-throughput classification pipelines.
Zero-shot time series foundation model scaling from 200K to 6.5M parameters. Runs on Raspberry Pi. No fine-tuning required for most domains — drops straight into edge pipelines.
A 256M-parameter vision-language model for document understanding. Handles OCR, layout analysis, and visual QA — all without a GPU. Built for regulated industries that process high volumes of documents privately.
A federated LLM router with human-interpretable routing logic. Reduces inference costs by 40–70% by intelligently routing requests across model tiers. Privacy-preserving by design.
A token-minimal, platform-agnostic programming language designed for AI agents. 4× more compact than Python for agent logic. Available on PyPI, npm, and featured on Product Hunt.
A 240M-parameter language model trained on Hinglish — the natural code-switching mix of Hindi and English used by 500M+ Indians. Designed for Tier 2/3 city applications and Indian enterprise deployments.