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Decagon vs Sarvam AIwhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Tool useMemoryRAG
Decagon vs Sarvam AI — specs
| Spec | Decagon | Sarvam AI |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 65 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription · Free tier | Subscription |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Voice, Tool use, Memory, RAG |
| Integrations | 3 apps | 3 apps |
| Verified | Verified | — |
| Released | Apr 2025 | Aug 2025 |
Agent Rank breakdown
Decagon
Agent Rank
73/ 100
- 自律性
- 9
- 機能
- 6
- 連携
- 4
- 料金
- 9
- 完成度
- 6
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Sarvam AI
Agent Rank
65/ 100
- 自律性
- 9
- 機能
- 8
- 連携
- 6
- 料金
- 4
- 完成度
- 6
- 検証性
- 6
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
Decagon
メリット
- +Chat-first agent with consistently 65–75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced — easier conversation than Sierra
デメリット
- −Voice support exists but is not the strength
- −Sales-led — no self-serve sign-up
- −Per-resolution pricing can sting if tickets spike unexpectedly
Sarvam AI
メリット
- +$53.8M from Lightspeed + Peak XV + Khosla — most-funded Indian sovereign-LLM provider
- +Selected by IndiaAI Mission for India's national sovereign LLM
- +Native voice quality in 22+ Indic languages
デメリット
- −India-focused — limited traction outside South Asia
- −Newer than Gnani/Verloop in BFSI voice deployments
- −No public pricing — enterprise sales only
Pricing
Decagon
Growth
カスタム
Mid-market
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
おすすめ
Enterprise
カスタム
Enterprise
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
Sarvam AI
Developer
カスタム
Indie + startups
- +API access
- +Pay-per-call
- +10 Indian languages
おすすめ
Enterprise
カスタム
Indian businesses
- +Full voice agent suite
- +22+ Indic languages
- +WhatsApp + voice channels
Sovereign
カスタム
Government
- +On-prem deployment
- +IndiaAI Mission alignment
- +Custom Indic LLM fine-tuning
Which one should you pick?
Decagon
Pick Decagon if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Decagon →Sarvam AI
Pick Sarvam AI if its specific capabilities (Voice, Tool use) match what you need.
Try Sarvam AI →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Decagon or Sarvam AI in 2026?+
Pick Decagon if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Sarvam AI if its specific capabilities (Voice, Tool use) match what you need. Most working teams running both can use Decagon for primary work and Sarvam AI for the workflows where its specific strengths matter.
What's the price difference between Decagon and Sarvam AI?+
Decagon starts at Subscription · Free tier; Sarvam AI starts at Subscription. Decagon is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Decagon or Sarvam AI?+
Both Decagon and Sarvam AI are Autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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Multilingual customer-support AI agents with local deployment teams in 30 countries.
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See more alternatives: alternatives to Decagon · alternatives to Sarvam AI
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