AI & ML interests

Edge AI and intelligent super usable systems

Recent Activity

Organization Card

Eulogik

Frontier Edge AI & Vernacular Intelligence Systems

Eulogies for black boxes — hyper-efficient, auditable, edge-first foundation intelligence.

ArXiv Paper License Website GitHub Hardware


We build machine intelligence that runs locally, reasons without hallucination, and scales sovereignly.
Established in 2007, Eulogik is a frontier systems engineering and edge AI company operating across India and the UAE (Dubai). We specialize in private on-premise foundation models, vernacular intelligence systems, and agentic compilers engineered to run with zero cloud dependencies and 100% data sovereignty.


⚡ Core Breakthroughs & Model Portfolio

🇮🇳 1. Vernacular Intelligence & Indic NLP

  • Bharat-Tiny-LLM v3: Edge-first 1.7B Hindi/Hinglish foundation model built on Qwen3. Quantized for GGUF, WebGPU, and llama.cpp. Native tool-use and GSM8K Hindi mathematical reasoning running fully offline.
  • Brahmi Tokenizer: Eulogik’s proprietary Indic script tokenizer engineered specifically for Devanagari and regional phonetic structures. Delivers 33–45% token compression over standard LLaMA/GPT tokenizers with zero byte-fragmentation.
  • PolyWhisper: Indic multilingual speech recognition across 5 languages (Hindi, Tamil, Telugu, Bengali, Marathi) using frozen Whisper encoders with language-specific LoRA experts and 20× hallucination reduction.
  • Brahmi Neural Codecs (BNC): Sub-12kbps Indic acoustic neural speech codecs designed for real-time edge voice streaming under constrained bandwidth.

🔬 2. Edge Foundation Models & TinyML

  • pico-type-v02 & pico-type: 1.5M-parameter, tokenizer-free byte-level classifier executing in <6ms on CPU with a ~200KB ONNX binary. Classifies 62 programming languages and 90 MIME types directly on edge hardware (ArXiv:2608.14658).
  • nanoforecast-v05: Zero-shot time series foundation model family (DeltaNet + LongConv, 200K–6.5M params). Performs probabilistic forecasting with uncertainty quantification directly on Raspberry Pi. Published on ArXiv.
  • TinyDoc-VLM-256M: 256M-parameter CPU-runnable document vision-language model (SigLIP + SmolLM2). Performs on-premise OCR, layout parsing, and visual question answering without GPU acceleration.

🧠 3. Zero-Hallucination Cognitive Architectures

  • Prajna-V2 & Prajna-CRNv2: Cognitive Resonance Network adapters on frozen backbones (Gemma-4-E2B). Incorporates EpisodicMemory retrieval tables achieving 100% exact factual recall on verifiable knowledge with zero hallucination. Optimized for Apple Silicon via MPS.

⚙️ 4. LLM Optimization & Federated Routing

  • fugusashi-v1.3 & fugusashi-router: Federated LLM routing middleware with human-interpretable preference tables. Slashes enterprise API costs by 40–70% via intelligent query routing.

⚡ Interactive Spaces & Browser Demos

Test our edge models live directly in your browser:


🏢 Enterprise & Sovereign AI Deployments

All Eulogik core public models are open-sourced under Apache 2.0 or MIT licenses.

For regulated institutions, banks, defense, and healthcare enterprises requiring complete data sovereignty:

  • Eulogik Edge: Private on-premise foundation model deployment with air-gapped runtimes (compliant with India DPDP Act and UAE data protection laws).
  • Custom Indic Foundation Models: Enterprise fine-tuning and tokenizer adaptation with the Brahmi Tokenizer and BNC.
  • Token Compaction & Optimization: Enterprise routing proxies and memory adapters.

📧 Inquiries: info@eulogik.comgautam@eulogik.com
🌐 Website: eulogik.comeulogik.com/solutions
📍 Locations: India & UAE (Dubai)

© 2007–2026 Eulogik. Engineered for efficiency and sovereignty.