We are engineering the foundational layer of Voice AI to work where others fail. From noise-resilient neural smoothing to native Indic dialect intelligence, our research is built for the complexity of the subcontinent.
Adding parameters does not make models smarter. We show why real modalities — enriched with explicit temporal and spatial input layers — make transformers more accurate in live interaction, at fixed or smaller parameter budgets.
Standard Voice AI fails in low-bandwidth or noisy conditions. We deploy custom smoothing models that strip adversarial noise and reconstruct phonemes in real-time, ensuring clear interaction even on 2G networks.
We solve for the "Indian accent problem" through specialized ASR engines tuned for 12+ languages and hundreds of regional dialects, moving beyond generic global models to true native intelligence.
Storing complex business logic and massive datasets in ultra-fast memory buffers. Our agents navigate hour-long conversations while referencing deeply nested data points with zero retrieval latency.
Accuracy in Noisy / Adversarial Contexts
"Vanira works where others fall silent."
Benchmarked against noisy Indian telephony lines.
Our roadmap is defined by the technical challenges of the Indian enterprise.
Custom neural smoothing models that reconstruct high-fidelity speech from noisy, low-bandwidth, and adversarial acoustic environments.
Industry-leading Language Identification built natively for 12+ major Indian languages, with sub-100ms detection even in code-switched Hinglish.
Speech-to-Text engines engineered to handle regional Indian dialects and diverse accents that standard out-of-the-box models routinely fail.
Compressing active client browser viewport states and DOM structures into descriptive visual streams for real-time model evaluation.
Optimizing and fine-tuning lightweight, high-fidelity text-to-speech engines (like Piper) to run locally on edge hardware for sub-200ms audio delivery.
Lifelong conversations through in-memory complex data storage, navigating massive business datasets and multi-hour contexts with zero retrieval lag.
We're solving the memory decay problem. Our architecture stores massive business datasets directly in high-frequency memory, ensuring your agent knows the client's full history and your full product catalog — at every millisecond of the call.
Access to 100k+ business data points without increasing API latency.
Native ASR tuning for regional dialects (Bhojpuri, Marathi, Tulu, etc.) built specifically for India.
Real-time voice smoothing for adversarial/telephony noise cancellation.
Vanira works where others fall silent. Start building with the most resilient Voice AI platform on the planet.