Enterprise agent platform with prebuilt vertical agents for banking, healthcare, and retail.
ツール利用音声メモリRAG
Demo · hover to playCognigy vs Fixiewhich 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 Fixie — specs
| Spec | Cognigy | Fixie |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 73 / 100 (A) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription | Free · OSS |
| Open source | No | Yes |
| Capabilities | Tool use, Voice, Memory, RAG, Multi-agent | Tool use, RAG, Memory, Multi-agent |
| Integrations | 5 apps | 3 apps |
| Verified | — | — |
| Released | Mar 2025 | Feb 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?
Fixie
Agent Rank
73/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 6
- 料金
- 10
- 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
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)
Fixie
メリット
- +Real multi-agent primitives — planner + workers + reviewer out of the box
- +Strong for internal-tool agents over your own data
- +Permissive license; auditable end-to-end
デメリット
- −Framework, not a finished product — engineering effort to ship anything
- −Smaller community than LangChain / LlamaIndex
- −Cloud pricing not yet published — usage-based and opaque
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
Fixie
Open source
無料
Builders
- +Apache-2.0 framework
- +Self-host
- +Bring your own models + data
Cloud
カスタム
Teams
- +Hosted runtime
- +Multi-agent orchestration
- +Observability
Which one should you pick?
Cognigy
Pick Cognigy if you want the highest autonomy and the verification loop is in place.
Try Cognigy →Fixie
Pick Fixie if cost is the main constraint or if auditability or self-hosting matters.
Try Fixie →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Cognigy or Fixie in 2026?+
Pick Cognigy if you want the highest autonomy and the verification loop is in place. Pick Fixie if cost is the main constraint or if auditability or self-hosting matters. Most working teams running both can use Cognigy for primary work and Fixie for the workflows where its specific strengths matter.
What's the price difference between Cognigy and Fixie?+
Cognigy starts at Subscription; Fixie starts at Free · OSS. Fixie 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 Fixie?+
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.
- Demo · hover to play
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 Fixie
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