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Cognigy vs Numericwhich AI support agent should you pick in 2026?

Forrester Wave Leader 2026 — enterprise voice and chat agent platform (now NiCE Cognigy).

🎧SupportAutonomousSubscription
Tool useVoiceMemoryRAG

AI controller — autonomous month-end close, reconciliations, flux analysis and variance commentary.

⚙️OpsSemi-autonomousSubscription
Tool useMemoryRAG

Cognigy vs Numeric — specs

SpecCognigyNumeric
Agent Rank73 / 100 (A)68 / 100 (B)
AutonomyAutonomousSemi-autonomous
PricingSubscriptionSubscription · Free tier
Open sourceNoNo
CapabilitiesTool use, Voice, Memory, RAG, Multi-agentTool use, Memory, RAG
Integrations5 apps3 apps
VerifiedVerified
ReleasedMar 2025Feb 2025

Categories: CognigySupport · NumericOps

Agent Rank breakdown

Cognigy
Agent Rank
73/ 100
AA-tier
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?

Numeric
Agent Rank
68/ 100
BB-tier
自律性
8
機能
6
連携
2
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)
Numeric
メリット
  • +Close-cycle time reduction of 30–50% at deployed customers
  • +Variance commentary drafting saves the controller hours per close
  • +Auditable trail of every AI-generated journal entry suggestion
デメリット
  • Best for teams already using NetSuite / Sage Intacct
  • Semi-auto only — humans must approve before posting
  • New product (2024 launch); customer reference list still building

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
Numeric
Growth
カスタム
Mid-market finance teams
  • +Close automation
  • +Reconciliations
  • +Flux analysis
おすすめ
Enterprise
カスタム
Large finance orgs
  • +Everything in Growth
  • +Multi-entity consolidation
  • +Custom workflows
  • +SSO

Which one should you pick?

Cognigy

Pick Cognigy if you want the highest autonomy and the verification loop is in place.

Try Cognigy →
Numeric

Pick Numeric if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.

Try Numeric →

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Frequently asked

Should I pick Cognigy or Numeric in 2026?+

Pick Cognigy if you want the highest autonomy and the verification loop is in place. Pick Numeric 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 Numeric for the workflows where its specific strengths matter.

What's the price difference between Cognigy and Numeric?+

Cognigy starts at Subscription; Numeric starts at Subscription · Free tier. Numeric 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 Numeric?+

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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Cognigy vs Numeric (2026): which AI support agent wins? · AI Agent Rank