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Head-to-head · Genesys AppFoundry Marketplace

Cognigy vs boost.ai

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side

Cognigy leads on 0 checks, boost.ai on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreCognigy · 8.8/10

Cognigy scores higher on our rubric for genesys appfoundry marketplace: 8.8 against 8.5 out of 10; our editors rank them #2 and #4.

Cognigy is the better fit for enterprises building multichannel customer-service agents. boost.ai is the better fit for enterprises building chat and voice self-service agents.

  • Cognigy fits best

    Enterprises building multichannel customer-service agents

  • boost.ai fits best

    Enterprises building chat and voice self-service agents

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Cognigy 8.8/10 Visit ↗ boost.ai 8.5/10 Visit ↗
At a glance
Editor score 8.8 8.5
Ranking #2 in Genesys AppFoundry Marketplace #4 in Genesys AppFoundry Marketplace
Best for Enterprises building multichannel customer-service agents Enterprises building chat and voice self-service agents
Pricing model Paid Paid
Starting price Pricing on request Pricing on request
Free plan Not checked yet —
Free trial Not checked yet Not checked yet
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Tickets, Docs Email, Docs, Community
Compliance SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS SOC 2
Integrations 16 integrations 6 integrations
Built for Mid-market, Enterprise Enterprise
Specs
App type Not checked yet Not checked yet
Genesys edition Not checked yet Not checked yet
Pricing model Not checked yet Not checked yet
Install method Not checked yet Not checked yet
Deployment model Not checked yet Not checked yet
Our review
Pros
  • Visual flow design with generative help for nodes and content
  • Connects knowledge sources, conversational memory, and human handoff
  • Supports multiple channels, model providers, and cloud or self-hosted deployment
  • Combines traditional NLU with generative AI for chat and voice agents
  • APIs support data retrieval and transactional actions in enterprise systems
  • Voice handoff can include conversation context and a transcript
Cons
  • Contact-sales pricing makes costs harder to compare upfront
  • Its breadth may exceed the needs of teams with simple support flows
  • Ticket and documentation support may not suit teams seeking other channels
  • Pricing requires contacting sales; no self-serve plan is offered
  • Cloud deployment only
  • Building custom integrations and API-driven actions may require technical work
Our verdict

Cognigy gives enterprises a platform for designing conversational flows and AI agents that handle customer-service interactions across voice, webchat, messaging, and contact-center channels. It is aimed at mid-market and enterprise…

Read the review →

For enterprises automating customer interactions, boost.ai provides customer-facing chat and voice agents alongside tools to build, analyze and optimize them. It is aimed at organizations that need more than answer generation: agents can…

Read the review →
  1. CognigyGenesys AppFoundry Marketplace 8.8Pricing on request
  2. boost.aiGenesys AppFoundry Marketplace 8.5Pricing on request

Strengths and trade-offs

  • Cognigy — where it wins

    • Visual flow design with generative help for nodes and content
    • Connects knowledge sources, conversational memory, and human handoff
    • Supports multiple channels, model providers, and cloud or self-hosted deployment

    Where it doesn't

    • Contact-sales pricing makes costs harder to compare upfront
    • Its breadth may exceed the needs of teams with simple support flows
    • Ticket and documentation support may not suit teams seeking other channels
  • boost.ai — where it wins

    • Combines traditional NLU with generative AI for chat and voice agents
    • APIs support data retrieval and transactional actions in enterprise systems
    • Voice handoff can include conversation context and a transcript

    Where it doesn't

    • Pricing requires contacting sales; no self-serve plan is offered
    • Cloud deployment only
    • Building custom integrations and API-driven actions may require technical work
  • Cognigy8.8/10 · Pricing on request

    A flexible platform for enterprise teams building multichannel AI agents and service flows.

    Visit CognigyFull verdict →
  • boost.ai8.5/10 · Pricing on request

    Build chat and voice self-service agents that can connect to enterprise systems.

    Visit boost.aiFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update