boost.ai vs Cognigy
Side-by-side comparison of boost.ai and Cognigy: pricing, features, API access, and community ratings.
Both platforms target enterprise conversational AI, but boost.ai differentiates itself with a stronger emphasis on compliance, auditability, and governance—making it particularly suited for heavily regulated industries like finance and healthcare. Cognigy focuses more on omnichannel deployment (voice, chat, messaging) and agent augmentation with its real-time AI copilot feature for human support teams. Cognigy highlights its proven scale with 1B+ interactions and 99% routing accuracy, while boost.ai emphasizes predictable implementations and transparent processes. Choose boost.ai for regulatory-heavy environments needing strict oversight, or Cognigy for diverse channel support and agent assistance capabilities.
boost.ai Conversational AI platform built for regulated enterprises — automate CX with confidence and control | Cognigy Generative & conversational AI-powered customer service agents for enterprise businesses | |
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| Category | Customer support | Customer support |
| Pricing | Enterprise | Enterprise |
| Starting price | ||
| Free tier | ||
| Audience | All audiences | All audiences |
| API available | ||
| Open source | ||
| Self-hostable | ||
| Model provider | Hybrid (proprietary NLU + third-party LLMs) | Multiple LLMs (enterprise LLM integration) |
| Founded | 2016 | 2016 |
| Headquarters | Stavanger, Norway | Düsseldorf, Germany |
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