OsharaAI was born out of the challenge of building great voice AI in a low-resource environment with limited technology skills. Nepal wasn't a constraint it was the proof point. If we can solve it here, we can solve it everywhere.
While Big Tech builds for the West, OsharaAI builds for the languages that define nations. Every organization deserves AI that speaks their language.
You don't need a massive budget or ML team to build your own voice intelligence. We're proving it at scale.
In 2026, investors have moved past AI hype. They're looking for defensibility and data sovereignty. Governments are mandating local data residency.
OsharaAI is the first-mover in Nepal's sovereign AI layer - and the playbook scales across South Asia.
High-quality, human-labeled Nepali audio is our primary asset. Cannot be replicated by a big tech model trained on Western internet data.
First-mover advantage with the Government of Nepal and local financial institutions creates relationships big tech cannot buy overnight.
By fine-tuning open-source models instead of training from scratch, we do more with less - and pass savings to customers.
Win Nepal, replicate the playbook for Hindi, Tamil, Sinhala, and every other low-resource South Asian language.
We're currently operating in stealth while closing our first enterprise pilots. Our founders bring deep, complementary experience across enterprise technology R&D, the kind that only comes from doing it in production, not in theory.
Identities disclosed to investors under NDA reach out to learn more10+ years building enterprise technology products in global and South Asian markets
Deep experience in AI product strategy, go-to-market, and stakeholder engagement
Led technology initiatives for enterprise clients across Nepal, the US, and South Asia
R&D background in speech recognition, NLP, and fine-tuning pipelines for low-resource languages
Architected production-grade AI systems with high-security, low-latency constraints
Hands-on experience fine-tuning open-source LLMs, voice, and video models for enterprise contexts
We're backed by advisors who've actually built and scaled businesses like this - people who've raised funding, navigated enterprise sales cycles, and grown teams from the ground up in both tech and emerging markets.
Serial entrepreneurs with exits and successful funding rounds in enterprise software
Operators who've run data, partnerships, and go-to-market for AI and SaaS companies
Investors themselves, so they know exactly what it takes to get from pilot to Series A
Looking for investors who believe in sovereign AI and geographic expansion.