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Audited 2026-08-08 · RXed table v1.0

Cognigy (NiCE Cognigy)

Visit cognigy.com
“A global market leader in conversational and agentic AI” — the vendor’s own words

Enterprise-grade agentic CX that runs live at Lufthansa and Mercedes-Benz scale — but you'll pay six figures a year for it, and since September 2025 NICE owns the roadmap, not Cognigy.

The verdict, read by Jan · AI clone of Jan’s voice, generated locally with his consent.
Best for: Large contact centers already running Genesys, Avaya or Amazon Connect that need a proven, high-volume agentic CX layer and can absorb a six-figure annual contract and a 2-4 month implementation.
Scope18/20
Quality6/10
Where the quality sits
6Reactive
6Retrieval & Memory
7Orchestration
7Validation
6Models
Enterprise platformSupport AgentsAutomation & AgentsVoice & SpeechProductivityPaid
Vendor
Cognigy GmbH (operating as NiCE Cognigy) · www.cognigy.com
Origin
Germany — Düsseldorf
Pricing
Enterprise Custom
Users (official only)
Not disclosed. NICE names Lufthansa, Mercedes-Benz and Nestlé as enterprise customers and cites an estimated 80% ARR growth for Cognigy within NICE in 2026. (source, 2025-07-28)
EnterpriseCustomquote-only; independent buyer reports put average annual cost around $115K, reaching $350K+ for large deployments

No public pricing page exists. Voice-heavy deployments cost materially more than chat-only ones since voice minutes, chat sessions and LLM usage are metered separately; Agent Copilot and knowledge/AI features are often billed as add-ons.

checked 2026-08-08 · vendor pricing page

Element scores

Reactive
Retrieval & Memory
Orchestration
Validation
Models
Primitives
Compositions
Deployment
Emerging
Tap or hover any element to see why it got that score.

Strengths

Knowledge AI and Simulator are genuinely mature: a RAG pipeline purpose-built for contact-center knowledge bases, and a synthetic-conversation testing lab that scores guardrail adherence, task completion and integration reliability before anything reaches production. BYOLLM support spans OpenAI, Azure OpenAI, Anthropic and Aleph Alpha with same-release access to GPT-5.1 and Claude Sonnet 4.6, and the 2026 MCP push — both server and client, OAuth2-secured — is a real interoperability bet.

Honest dings

Pricing is entirely opaque: no public price list, and independent buyer reports put average annual cost around $115K, reaching $350K+ for enterprise deployments with $700K+ first-year TCO once professional services are counted. No documented multi-agent handoff, no fine-tuning, no interpretability surface, and the September 2025 NICE acquisition puts long-term roadmap independence in question.

Prices and details change — this passport is re-verified at least quarterly.
Sources (12) — every claim traceable

Every audit lists the research it rests on — transparency and traceability are the product. Tools evolve: each audit is a snapshot of its audit date, and re-audits supersede older versions (kept below for reference).