Gnani AI

What Gnani AI does

Gnani AI is a frontier Voice AI company that builds proprietary speech and language models for enterprise deployments. Its model stack includes Gnani Prisma v2.5 (Speech-to-Text), Gnani Timbre v2.0/v2.5 (Text-to-Speech), Gnani Warp v2.0 (Speech-to-Speech), and language models Gnani Aion v3.2 and Gnani Evon 14B v3.2. These models are trained on 14 million hours of telephonic audio across 40+ languages, including 12+ Indian languages, and serve over 200 enterprises in banking, insurance, healthcare, and government, processing over 30 million voice interactions daily. Gnani AI's platform offers enterprise products like voice agents, speech analytics, agent assist, and voice biometrics, designed for real-world conditions with high accuracy and low latency. The company emphasizes data sovereignty and offers deployment options including cloud, private cloud, on-premise, and air-gapped environments.

Products

• Gnani Warp v2.0India’s first foundational 5-billion-parameter model built to process speech-to-speech directly.
• Gnani Prisma v2.5Speech-to-Text model ranked #1 in 8 of 9 Indian languages on Kathbath Noisy 8kHz, trained on 14M+ hours of real telephonic audio.
• Gnani Timbre v2.0/v2.5Natural-sounding Text-to-Speech synthesis in 21+ languages with context-aware tone.
• Gnani Aion v3.2Language model for enterprise-scale reasoning with deep domain calibration including BFSI, insurance, healthcare, and telecom. Scores 37.99% on Berkeley BFCL v3.
• Gnani Evon 14B v3.2Language model that outperforms GPT-4o-mini, Claude Sonnet 4, Claude Opus 4.1 and Gemini Flash on Berkeley BFCL v3.
• AgentsVoice agents for collections, customer service, KYC, and outbound, built on custom workflows and deployed rapidly. Also includes HumanOS for AI-driven digital human solutions with real-time engagement on video.
• AnalyticsOmnichannel analytics and quality assurance that turns interactions into customer delight.
• BiometricsAI-powered voice authentication to replace passwords, PINs, and security questions with voiceprints.
• AssistAI co-pilot for customer service teams, providing sub-500ms hints, compliance prompts, and next-best-action during live calls.
• HumanOSAI-driven digital human solution for human-like real-time engagement on video, supporting 40+ languages with low latency and scalable deployment.

Key capabilities

• Proprietary foundational models (Speech-to-Text, Text-to-Speech, Speech-to-Speech, Language Models)
• Trained on 14M+ hours of real telephony audio across 40+ languages
• Sub-200ms P95 latency for speech processing
• Ranked #1 on IndicToolBench and Berkeley BFCL v3 for agentic function calling
• Support for 40+ languages, including 12+ Indian languages, with native script transcription and synthesis
• Automatic language detection and code-switching handling
• Noise robustness optimized for telephony-grade and noisy real-world audio
• Real-time transcription and streaming synthesis
• Voice cloning from short audio samples
• Multi-speaker identification (speaker diarization)
• Customizable voice output for brand-specific tone and style
• SLMs & RAGs built for business-grade AI, fine-tuned for industry-specific data
• Deployment options: Cloud, Private Cloud, On-Premise, Air-Gapped
• Omnichannel support: Voice, WhatsApp, Chat, SMS
• Barge-in intelligence for accurate speech recognition mid-call
• AI-powered noise suppression
• Accent conversion for bridging accent barriers

Use cases

• Customer Support (FAQ handling, inbound call triage, complex case routing)
• Lead Qualification (inbound inquiry answering, BANT qualification, hot lead transfer)
• Collections & Recovery (outbound reminder calls, payment plan enrollment, FDCPA-compliant conversations)
• Appointment Booking (24/7 inbound booking, calendar sync, confirmations, reminders, rescheduling)
• Onboarding & KYC (voice biometric enrollment, consent capture, regulatory disclosures, document follow-ups)
• Survey Automation (NPS, CSAT, Voice of Customer, large-format research programs)
• Fraud detection (via voice biometrics)
• Talent acquisition cost reduction (via AI automation)
• Automating onboarding and compliance checks
• CSAT feedback automation
• Subscription renewals
• Loan disbursal acceleration
• Policy renewals and compliance streamlining
• Reviving lapsed policies
• Boosting acquisition for stock broking
• Debt recovery
• Automating customer conversations across various channels

AI approach

Gnani.ai is a frontier Voice AI company that builds proprietary speech and language models for enterprise deployments. Their models are trained on 14 million hours of telephonic audio across 40+ languages, engineered for accuracy and resilience in real-world enterprise voice deployments. They offer a full model stack (STT, TTS, and language models) developed entirely in-house with no dependency on third-party model providers. Their models include Gnani Prisma v2.5 (Speech-to-Text), Gnani Timbre v2.0/v2.5 (Text-to-Speech), Gnani Warp v2.0 (Speech-to-Speech), and language models Gnani Aion v3.2 and Gnani Evon 14B v3.2. They also utilize SLMs (Small Language Models) and RAGs (Retrieval Augmented Generation) for business-grade AI.

Tech named: Gnani Warp v2.0, Gnani Prisma v2.5, Gnani Timbre v2.0, Gnani Timbre v2.5, Gnani Aion v3.2, Gnani Evon 14B v3.2, ASR, TTS, NLP, Deep Learning, Machine Learning, Generative AI, Conversational AI, SLMs, RAGs, Neural Voice Synthesis, Codec, Speaker Diarization, Voice Cloning, Barge-in ASR

Industries served

• Banking and Financial Services (BFSI)
• Insurance
• Healthcare
• Telecom
• Government
• Retail
• Consumer Durables
• Automotive
• Real Estate
• Hospitality
• Public Sector
• BPOs
• Home services
• Salons
• E-commerce

What it says sets it apart

• Frontier Voice AI built natively for voice, not adapted from general-purpose language models
• Models trained on 14M+ hours of real telephonic audio, specifically for noisy, real-world conditions, unlike typical models trained on clean studio audio
• Achieves #1 ranking on Berkeley BFCL v3 (37.99% accuracy) for agentic function calling, outperforming GPT-4o-mini, Claude Sonnet 4, Claude Opus 4.1, and Gemini Flash
• Top performance across 8 of 9 Indian languages on the Kathbath Noisy 8kHz benchmark
• Full model stack (STT, TTS, language models) developed entirely in-house with no dependency on third-party model providers
• Ensures complete data sovereignty with deployment options including on-premise, private cloud, and air-gapped environments
• Low latency (sub-200ms P95) for production-grade environments
• Supports 40+ languages and dialects, with deep coverage across Indian languages and code-switching capabilities
• Offers a comprehensive platform covering every layer of the stack: Frontier Voice AI Models, Voice Intelligence, Application Studio, Agents + Analytics, Integration + Insights
• Proven production at global scale with 30M+ daily voice interactions for 200+ enterprises

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.