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 Torqwhich AI support agent should you pick in 2026?
AI customer service agent — resolves tickets across chat, email, voice with measurable deflection rates.
RAGTool useMemoryVoice
Ada vs Torq — specs
| Spec | Ada | Torq |
|---|---|---|
| Agent Rank | 80 / 100 (A) | 67 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription · Free tier | Subscription |
| Open source | No | No |
| Capabilities | RAG, Tool use, Memory, Voice | Tool use, Memory, RAG, Multi-agent |
| Integrations | 4 apps | 5 apps |
| Verified | Verified | — |
| Released | Feb 2025 | Jan 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?
Torq
Agent Rank
67/ 100
- 自律性
- 9
- 機能
- 8
- 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
Torq
メリット
- +$1.2B valuation Series D Jan 2026; Forbes "de facto leader" in agentic SOC
- +Hyperautomation roots + agent layer = best of both worlds
- +100+ security tool integrations; widest of any agentic SOC platform
デメリット
- −Enterprise focus — SMB SOCs find pricing prohibitive
- −Steeper learning curve than newer agent-native competitors
- −Best ROI requires existing SIEM/EDR/SOAR stack to orchestrate
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
Torq
Pro
カスタム
Mid-market SOC
- +Agentic workflows
- +100+ integrations
- +Standard SLA
おすすめ
Enterprise
カスタム
Large SOC
- +Unlimited agents
- +Custom playbooks
- +Strategic CS
Sovereign
カスタム
Regulated
- +Air-gapped deployment
- +EU/US data residency
- +Dedicated engineering
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 Torq 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 Torq if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Ada for primary work and Torq for the workflows where its specific strengths matter.
What's the price difference between Ada and Torq?+
Ada starts at Subscription · Free tier; Torq 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 Torq?+
Both Ada and Torq 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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Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
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 Torq
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