OsharaAI lets any organization build sovereign voice intelligence using their own data, processes, and culture without sending sensitive information to foreign clouds.
Nepali dialect detected - cultural context applied
OVIPFine-tuned model on org data - 2.1% WER
OFTAProcessed locally - zero external data transfer
SovereignSpeaker 1: Namaste, how can I help you today?
Agent: I am checking your account details now...
Global AI models weren't built for your language, your culture, or your compliance requirements.
Everything you need to own your voice AI - from model training to production deployment.
Deploy production-ready voice interfaces powered by your own fine-tuned models. Low latency, high security, built for your organization's context.
Automate training and fine-tuning AI voice models on your proprietary data - without needing a dedicated ML team.
Our core mission is to provide the best end-user experience through personalized, sovereign AI. Voice is where we go deepest, but the expertise we've built in fine-tuning open-source models extends across the full AI stack.
Fine-tuned speech recognition and synthesis for low-resource languages. Our primary expertise is sovereign, culturally precise, production-ready.
We fine-tune open-source LLMs on your proprietary data, processes, and domain knowledge so your product gets smarter than any generic model could be.
Leveraging our expertise in talking-head and video generation, we help clients fine-tune video models for personalized, lip-synced multilingual content.
Oshara FTA is model-agnostic. The same pipeline that trains our voice models applies to LLMs and video - a complete, integrated AI stack without switching vendors.
OsharaAI powers the voice interface for our community of thousands of AI professionals. The Nepali accuracy is unlike anything we've seen.
We needed a voice solution that could handle our technical product vocabulary in Nepali. OsharaAI delivered in a fraction of the time we expected.
The sovereign AI approach means our customer data never leaves our infrastructure. That's a compliance requirement we could not compromise on.
Get started in hours with what you already have. No large ML team required.