Enterprise agent platform with prebuilt vertical agents for banking, healthcare, and retail.
ツール利用音声メモリRAG
Cognigy vs Outreachwhich AI support agent should you pick in 2026?
Forrester Wave Leader 2026 — enterprise voice and chat agent platform (now NiCE Cognigy).
Tool useVoiceMemoryRAG
Cognigy vs Outreach — specs
| Spec | Cognigy | Outreach |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 78 / 100 (A) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription | Subscription · Free tier |
| Open source | No | No |
| Capabilities | Tool use, Voice, Memory, RAG, Multi-agent | Voice, Tool use, Memory, RAG |
| Integrations | 5 apps | 4 apps |
| Verified | — | Verified |
| Released | Mar 2025 | Jan 2025 |
Agent Rank breakdown
Cognigy
Agent Rank
73/ 100
- 自律性
- 9
- 機能
- 10
- 連携
- 8
- 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?
Outreach
Agent Rank
78/ 100
- 自律性
- 8
- 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?
Pros & cons
Cognigy
メリット
- +Forrester Wave Leader 2026 — highest combined score in Conversational AI
- +Strong voice + chat parity (most competitors are stronger on one channel)
- +Now part of NiCE — deep contact-center stack integration with existing CCaaS
デメリット
- −Enterprise-only — no SMB self-serve
- −Steep learning curve for low-code authoring
- −Long implementation timelines (3-6 months typical for full rollouts)
Outreach
メリット
- +Most-deployed sales engagement platform — proven at scale
- +AI features now span engagement + forecasting + coaching
- +Strongest enterprise integration story (Salesforce native)
デメリット
- −No transparent self-serve pricing
- −AI features still trail dedicated tools (Regie, Lavender) in quality
- −Large-org implementation timeline 6–12 weeks
Pricing
Cognigy
Standard
カスタム
Mid-market
- +Pre-built support agents
- +Voice + chat
- +5 integrations
おすすめ
Enterprise
カスタム
Large orgs
- +Unlimited integrations
- +Multi-agent orchestration
- +On-prem option
Sovereign
カスタム
Regulated
- +EU/US data residency
- +BYO LLM
- +Dedicated tenant
Outreach
Standard
カスタム
Sales teams
- +Engagement sequences
- +AI sentiment + topic detection
おすすめ
Professional
カスタム
Full GTM teams
- +Smart sequences
- +Deal Insights
- +Pipeline forecasting
Enterprise
カスタム
Large enterprises
- +Custom AI models
- +Advanced reporting
- +Dedicated CS
Which one should you pick?
Cognigy
Pick Cognigy if you want the highest autonomy and the verification loop is in place.
Try Cognigy →Outreach
Pick Outreach if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Outreach →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Cognigy or Outreach in 2026?+
Pick Cognigy if you want the highest autonomy and the verification loop is in place. Pick Outreach if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Most working teams running both can use Cognigy for primary work and Outreach for the workflows where its specific strengths matter.
What's the price difference between Cognigy and Outreach?+
Cognigy starts at Subscription; Outreach starts at Subscription · Free tier. Outreach 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, Cognigy or Outreach?+
Cognigy 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.
コールセンター向けエンタープライズ音声アシスタント — 自然な会話で顧客対応を完結。
音声ツール利用メモリRAGDemo · hover to playAIカスタマーサービスエージェント — チャット・メール・音声を横断してチケットを解決し、測定可能な自動解決率を実現します。
RAGツール利用メモリ音声Demo · hover to play
See more alternatives: alternatives to Cognigy · alternatives to Outreach
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