Salesforce と Google の創業者が手がける、ブランドイメージに沿った顧客対応AIエージェントです。
音声ツール利用メモリRAG
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Ada vs Tofuwhich AI support agent should you pick in 2026?
AI customer service agent — resolves tickets across chat, email, voice with measurable deflection rates.
RAGTool useMemoryVoice
Autonomous campaign execution across email, ads, and web at brand-safe scale.
Tool useMemoryRAG
Ada vs Tofu — specs
| Spec | Ada | Tofu |
|---|---|---|
| Agent Rank | 80 / 100 (A) | 63 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription · Free tier | Subscription |
| Open source | No | No |
| Capabilities | RAG, Tool use, Memory, Voice | Tool use, Memory, RAG |
| Integrations | 4 apps | 5 apps |
| Verified | Verified | — |
| Released | Feb 2025 | Jun 2025 |
Agent Rank breakdown
Ada
Agent Rank
80/ 100
- 自律性
- 9
- 機能
- 8
- 連携
- 6
- 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?
Tofu
Agent Rank
63/ 100
- 自律性
- 9
- 機能
- 6
- 連携
- 6
- 料金
- 4
- 完成度
- 7
- 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
Ada
メリット
- +One of the longest-running CS AI products — battle-tested at scale
- +Now Generative — rewritten on LLMs rather than older NLU patterns
- +Clean Zendesk + Salesforce integration story
デメリット
- −Older brand can feel less buzzy vs Sierra/Decagon — though the product is competitive
- −Voice still nascent vs Parloa
- −Enterprise-only sales motion
Tofu
メリット
- +#1 in multiple 2026 marketing-agent buyer guides — top of the vertical
- +Autonomous orchestration across email + ads + web (most agents only do one channel)
- +Strong brand-governance — runs every output through brand library checks
デメリット
- −Enterprise pricing only — no SMB self-serve
- −Newer than Writer/Jasper — fewer Fortune 500 case studies
- −Best ROI requires existing martech stack (HubSpot/Marketo/Salesforce)
Pricing
Ada
おすすめ
Generative
カスタム
Mid-market support
- +AI agent for chat + email
- +Knowledge automation
- +Reasoning engine
Enterprise
カスタム
Large enterprises
- +Voice channel
- +Custom workflows
- +Dedicated CS
Tofu
Growth
カスタム
Mid-market
- +Email + ads + web
- +Brand library
- +HubSpot/Marketo sync
おすすめ
Scale
カスタム
Large brands
- +Unlimited campaigns
- +Multi-brand workspace
- +Advanced governance
Enterprise
カスタム
Fortune 500
- +Custom integrations
- +Dedicated CS
- +Custom SLAs
Which one should you pick?
Ada
Pick Ada if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Ada →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Ada or Tofu in 2026?+
Pick Ada if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Tofu if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Ada for primary work and Tofu for the workflows where its specific strengths matter.
What's the price difference between Ada and Tofu?+
Ada starts at Subscription · Free tier; Tofu starts at Subscription. Ada 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, Ada or Tofu?+
Both Ada and Tofu 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.
ツール利用メモリ音声RAGForrester Wave Leader 2026 — enterprise voice and chat agent platform (now NiCE Cognigy).
ツール利用音声メモリRAG
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See more alternatives: alternatives to Ada · alternatives to Tofu
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