"We spent months evaluating Indic AI models. What we actually needed was a platform that could go live, handle our compliance requirements, and scale from day one. Gnani gave us that. No custom engineering required."
"We needed one orchestration layer across every channel. Sarvam could give us a model. Gnani gave us a platform with voice, WhatsApp, SMS and analytics already connected. We were live in three weeks."
"Inya Shield was the deciding factor. We needed real-time guardrails on every conversation before it was a regulatory requirement. No research lab was going to give us that. Gnani already had it in production."
Sarvam AI is built around model development and research advancement. Enterprises need production-ready infrastructure with uptime SLAs, enterprise integrations, and support for real-world deployment complexity. A model is not a platform.
Gnani.ai powers 30M+ conversations per day across 200+ enterprise deployments with 30K+ concurrent sessions. Sarvam AI is not operating at comparable production scale. When volume grows, the gap between a research lab and an enterprise platform becomes critical.
Taking a Sarvam model to production requires additional engineering for orchestration, workflow management, analytics, governance, and channel integration. Gnani delivers all of this as a single integrated platform. The gap in time-to-production is measured in months.
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Criteria
At enterprise scale, in production
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Recommended
Gnani.ai
Full-stack enterprise AI platform, India-built, in production at scale
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Sarvam AI
Indic AI research and model-building company; early-stage on enterprise deployment
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|---|---|---|
| Production ScaleLive enterprise deployments | ✓30M+ conversations/day200+ enterprise deployments; 30K+ concurrent sessions in production | ✗Not at comparable scaleResearch and model-building focus; limited enterprise production deployments |
| Platform vs ModelWhat you get out of the box | ✓End-to-end platformSTT, TTS, orchestration, agent workflows, analytics, governance: fully integrated | ✗Models onlyRequires additional engineering layers to reach enterprise deployment; no complete stack |
| No-Code Agentic AIWorkflow deployment without engineering | ✓Inya.ai builderNo-code platform to build and deploy complex agentic workflows; reduces go-live from months to weeks | ✗Not availableModel-centric approach requires custom orchestration and deployment engineering |
| Multimodal OrchestrationChannels supported in one platform | ✓Voice, Email, SMS, WhatsAppSingle orchestration layer across all channels; unified conversation context | ✗Voice and text models onlyCross-channel execution not part of core offering; focused on model capabilities |
| Governance and SafetyReal-time guardrails in production | ✓Inya ShieldReal-time guardrails, compliance enforcement, and risk mitigation built in; critical for BFSI and telecom | ✗Not a core offeringEnterprise-grade governance layer not part of Sarvam's current product focus |
| Conversation IntelligenceAnalytics and continuous improvement | ✓Inya InsightsSentiment tracking, intent detection, churn signals, and closed-loop model retraining built in | ✗No analytics layerResearch-stage tooling; no production observability or closed-loop optimization |
| Time to ProductionFrom contract to first live deployment | ✓Weeks, not monthsPre-built workflows, 100+ enterprise integrations, no-code deployment; SLA-backed go-live | ✗Months of engineeringRequires custom orchestration, workflow management, and integration work on top of models |
| On-Prem / Air-GappedFull data residency for regulated industries | ✓YesCloud / On-Prem / Hybrid / K8S; ISO 27001, SOC2, HIPAA, PCI DSS, GDPR | ◑PartialCloud deployment available; full on-prem enterprise deployment stack not confirmed |
| Business Outcome FocusWhat you are buying | ✓Cost reduction, CX, revenueMeasured by conversation outcomes, containment rates, and cost per interaction | ✗Model capabilityResearch advancement and model benchmarks; not yet mapped to enterprise business outcomes |
Data sourced from public product documentation, company disclosures, and independent evaluations as of Q1 2026.
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