Agni vs Sarvamwhich voice AI fits Indian customer calls?
Sarvam builds India's sovereign foundation models and the APIs around themserious, important work. Agni is a calling-operations platform: agents, campaigns, compliance workflows, and analytics. In August 2026 Sarvam also opened a self-serve Voice Agents builder, so the two now overlap at the platform layer. What still separates them sits above it.
Choose by fit, not by feature count
Both now have a calling product, so this is no longer a pure layer decision. It is a question of how much of the India calling operation you want to buy already assembled.
- You need phone campaigns running nowagents, telephony, and analytics in one console
- Business teams will operate it; engineering shouldn't be on the critical path
- DND/DLT/consent workflows and calling windows must come built in
- You want per-minute INR pricing from ₹2,999/month you can model per campaign
- Call outcomes should sync to your systems via GoHighLevel, Cal.com, REST APIs, and webhooks
- You're an engineering team building your own voice or language product
- You need Indic foundation models, speech, and translation APIs across many surfaces
- Sovereign-AI positioning and model-layer control are strategic requirements
- Per-API-unit INR pricing fits how you meter usage
- You are comfortable assembling India campaign compliance yourself, on top of what the workspace gives you
How the platforms compare
A model-and-API layer against an operations platformmapped honestly. Sarvam facts are from its public site, docs and August 2026 Voice Agents launch note; verify current details with both vendors.
| Capability | Agni | Sarvam |
|---|---|---|
| India-language depth & Hinglish | Yes30+ Indian languages with Hinglish-native, emotion-aware voicesapplied to live phone conversations: interruptions, code-switching, and all. | YesDeep Indic-language research: sovereign foundation models, speech, and translation built for Indian languages, per Sarvam's public site, August 2026. |
| Dialect & accent coverage | Yes100+ accents & dialects tuned for regional familiarity on calls, covering 800M+ people. | Model layerNamed Indic voice personas and broad language coverage at the model/API layer, per Sarvam's public site, August 2026published as model capability rather than a calling-accent catalog. |
| No-code + API paths | YesNo-code console for business teamsagents, campaigns, analyticsplus REST APIs and webhooks for engineering. | Both, since Aug 2026Developer APIs for speech, translation, and LLMs, plus a self-serve Voice Agents builder opened in August 2026 where you design, test and deploy an agent in one workspace, per Sarvam's public site and docs, August 2026. |
| Inbound + outbound + campaigns | YesInbound routing and outbound campaigns with contact lists, call windows, retries, caller IDs, and concurrencyoperations-ready out of the box. | Batch callingVoice Agents go live on telephony (bring your own provider or rent a number from Sarvam) and kick off batch outbound calling at scale, per Sarvam's August 2026 launch note. Campaign-level controls such as calling windows, retry policy and dispositions are not detailed publicly. |
| Transcripts & analytics | YesPer-call transcripts, recordings, summaries, sentiment, dispositions, and cost tracking in an operations dashboard. | In the workspaceCall logs, analytics and custom dashboards over every conversation, per Sarvam's August 2026 launch noteplus strong speech-to-text and language APIs to build further analysis on. |
| INR pricing transparency | YesAll-in INR plans from ₹2,999/month; ₹4/min Scale overage, from ₹2/min at enterprise volumepriced per call minute. | YesPublishes INR rates for API usage, per Sarvam's public pricing, August 2026priced per API unit (characters, seconds, tokens), not per call minute. |
| India compliance workflows (DND/DLT/consent) | YesDND/NCPR scrubbing, DLT template workflows (140/160 series), consent logging, calling-window enforcement, and audit trails as platform features. | Different layerIndia-sovereign positioning and data-residency emphasis at the model layer, per Sarvam's public site, August 2026; TRAI campaign workflows like DND/DLT sit above the API layer. |
| Support model | YesGuided onboarding with phone, WhatsApp, and email supportfrom first agent to live campaigns. | YesDeveloper documentation plus enterprise engagement for large deployments, per Sarvam's public site, August 2026. |
Competitor details are summarized from Sarvam's public website and documentation, June 2026. Capabilities and pricing evolveverify current details with each vendor before deciding. All trademarks belong to their respective owners. Spot an inaccuracy? Email info@ravan.ai and we'll correct it.
What makes Agni different for India
Everything between a great Indic model and a completed customer callthat's the layer Agni owns.
The operations layer, finished
Campaigns your team runs themselves
Every call accounted for
Run both on the same campaignwe'll help you benchmark
The honest way to choose between Agni and a build-on-Sarvam stack is a side-by-side pilot: same contact list, same calling window, same script. We'll help you set it up and read the results even if the answer is "stay where you are."
- Same DND-scrubbed list, call window, and script on both platforms
- Compare connect rates, language quality, and handoff accuracy
- Compare cost per completed call in INR, side by side
- Full transcripts and recordings from the Agni side for your review
Set up a benchmark pilot
Tell us your use case and current setup. We'll scope a like-for-like pilot, usually within one business day.
Or call our AI agent: +91 11 4056 6600Common questions about Agni vs Sarvam
Is Agni a competitor to Sarvam?
Less than it used to be, and more than it once was. Sarvam's core work is India's sovereign foundation models and the APIs around them: speech, translation, and LLMs for builders. But in August 2026 it also opened a self-serve Voice Agents builder with telephony, batch outbound calling, and analytics, so there is now genuine overlap at the platform layer. Agni sits above it: agents, telephony, campaigns, India compliance workflows, and per-minute INR economics that business teams run themselves. For the three-way view against Smallest.ai too, see Agni vs Sarvam vs Smallest.ai.
Can we use Sarvam models with Agni?
Agni does not build or resell models, and there is no model slot to fill; the speech and language models it runs are chosen and managed by Agnithat's how we keep latency, language quality, and call behavior consistent, so there's no model slot to fill. If your engineering team is already building on Sarvam's APIs, the layer you'd still have to buildcampaign orchestration, DND/DLT workflows, transcripts, analytics, CRM syncis exactly what Agni provides out of the box. Many teams compare that build-vs-buy honestly before committing either way.
Which should we choose?
If you need foundation models and APIs to power many surfacesapps, documents, IVRs, custom productsSarvam's layer is the right place to look. If you need Indian-language phone campaigns live this month, with compliance and reporting handled, that's Agni. Start from Starting ₹2,999/month on the pricing page, or talk to us about your stackwe'll tell you honestly if the API route fits you better.
Buy the calling layer. Keep your roadmap.
See a complete Indian-language campaignagents, compliance trail, transcripts, and INR economicsrunning end to end in a 30-minute walkthrough.