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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Codegnan IT Solutions
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+ **Building and running self-hosted AI for Indian languages — and training people to do the same.**
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+
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+ 🌐 [Website](https://[WEBSITE]) · 💼 [LinkedIn](https://[LINKEDIN_URL]) · ✉️ [[CONTACT_EMAIL]](mailto:[CONTACT_EMAIL])
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+
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+ ---
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+
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+ ## About us
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+
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+ Codegnan IT Solutions builds, deploys, and operates AI systems on our own infrastructure,
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+ using open-weight models. Our focus is practical AI for Indian users: Telugu and other Indic
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+ languages, real-world audio, and production reliability over demos.
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+
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+ We also run AI training programs for students, professionals, and business teams.
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+
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+ ## What we work on
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+
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+ | Area | Focus |
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+ |------|-------|
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+ | 🎙️ **Indic speech** | Speech-to-text for Telugu and other Indian languages, including noisy phone-call audio |
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+ | 🗣️ **Voice agents** | Conversational AI agents that speak naturally in Indian languages |
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+ | 📄 **Document intelligence** | OCR and document reconstruction for English and Indic scripts |
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+ | 🧠 **LLM operations** | Serving, monitoring, and governing self-hosted open-weight LLMs |
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+ | 💼 **AI hiring** | [Skillifire](https://[SKILLIFIRE_URL]) — resume matching, ATS analysis, quizzes, and AI interviews |
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+ | 🎓 **Training** | Claude and AI bootcamps for business professionals and developers |
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+
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+ ## How we work
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+
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+ - **Self-hosted first** — models run on our own GPUs; data stays in-house.
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+ - **Open-weight models** — we credit and respect the licenses of the models we build on.
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+ - **Indic-first** — every system is tested on Indian languages, not just English.
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+ - **Measured, not assumed** — we publish numbers only when we have benchmarked them.
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+
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+ ## What you'll find here
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+
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+ | Type | Status |
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+ |------|--------|
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+ | 🤖 **Models** | Coming soon |
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+ | 📊 **Datasets** | Coming soon |
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+ | 🚀 **Spaces** | Coming soon |
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+
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+ ## For members
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+
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+ - Create repos **private by default**; make them public only after review.
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+ - Never upload customer data, call recordings, API keys, or `.env` files.
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+ - Every public model or dataset needs a card with its license and the base model it builds on.
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+ - Naming: `[area]-[project]-[version]` — e.g. `speech-telugu-stt-v1`.
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+
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+ ---
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+ <sub>© Codegnan IT Solutions</sub>