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 Langdockwhich 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 Langdock — specs
| Spec | Ada | Langdock |
|---|---|---|
| Agent Rank | 80 / 100 (A) | 77 / 100 (A) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription · Free tier | Subscription · from $30 |
| 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 | Feb 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?
Langdock
Agent Rank
77/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 10
- 料金
- 7
- 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
Langdock
メリット
- +GDPR-native — built EU-first with German data residency and strict compliance defaults
- +Multi-model BYO (Anthropic, OpenAI, Google) without lock-in
- +Strong agent builder + connector library — Glean-class but priced for European mid-market
デメリット
- −Smaller US presence and US partner ecosystem
- −Newer than Glean — fewer published US Fortune 500 case studies
- −Per-seat pricing adds up at scale (>50 users)
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
Langdock
Free
無料
Individuals
- +1 workspace
- +GPT-4o + Claude
- +Limited connectors
おすすめ
Pro
$30/席/月
Teams
- +Multi-model BYO
- +All connectors
- +Agent builder
Enterprise
カスタム
Large EU orgs
- +SSO + audit
- +Custom retention
- +Dedicated EU tenant
Which one should you pick?
Ada
Pick Ada if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
Try Ada →Langdock
Pick Langdock if its specific capabilities (Tool use, Memory) match what you need.
Try Langdock →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Ada or Langdock in 2026?+
Pick Ada if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Pick Langdock if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Ada for primary work and Langdock for the workflows where its specific strengths matter.
What's the price difference between Ada and Langdock?+
Ada starts at Subscription · Free tier; Langdock starts at Subscription · from $30. 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 Langdock?+
Ada is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.
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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 Langdock
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