Comparing Cognigy and Dialpad Ai? Both are Contact Center & CCaaS and Voice & Phone AI tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at how they price, what they integrate with, and when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
| Attribute | Cognigy | Dialpad Ai |
|---|---|---|
| Pricing | Paid · Custom | Paid · $15/user/mo |
| Founded | 2016 | 2011 |
| Categories | AI Agents & Chatbots Contact Center & CCaaS Enterprise Voice & Phone AI | Agent Assist & Copilots Contact Center & CCaaS Voice & Phone AI |
| Integrations | Genesys Amazon Connect Twilio Salesforce Zendesk ServiceNow | Salesforce Zendesk Google Workspace Microsoft Teams HubSpot ServiceNow |
Cognigy, now part of contact-center giant NiCE, builds AI agents for the enterprise, with a particular strength in voice. Its flagship Cognigy.AI platform deploys autonomous agents that reason, adapt, and take action across voice and digital channels in more than a hundred languages, and it pairs them with an Agent Copilot that assists human reps and a Knowledge AI layer that grounds answers in your content. A no-code conversation builder lets teams design and orchestrate sophisticated flows without heavy engineering, and the platform integrates tightly with contact-center systems like Genesys and Amazon Connect.
The company has serious enterprise credibility. Founded in 2016 in Dusseldorf, Germany, by Philipp Heltewig and Sascha Poggemann, Cognigy grew into a repeat leader in analyst rankings for conversational and agentic AI, and in 2025 it was acquired by NiCE in a cash-and-stock deal reported around nine hundred and fifty million dollars, described as one of Europe's largest AI acquisitions. It now runs both inside NiCE's broader platform and as a standalone product, so existing customers were not left stranded.
The client roster is a roll call of household names, including Lufthansa Group, Bosch, Toyota, Mercedes-Benz, Nestle, and DHL, with well over a thousand brands relying on it to automate conversations at genuinely large scale. Pricing is enterprise and custom, with no public price list or self-serve tier, and voice, chat, and add-ons like Agent Copilot are typically quoted separately, so this is a considered purchase rather than an impulse buy.
For big organizations that need to automate high call volumes across many languages, keep human agents in the loop, and slot AI into an existing contact-center stack rather than replacing it, Cognigy is one of the most established and well-regarded choices on the market today, and the deep-pocketed NiCE backing only extends its already-broad enterprise reach.
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Dialpad's founders have been building phone systems for the internet age longer than almost anyone: CEO Craig Walker previously created the products that became Yahoo Voice and, via GrandCentral, Google Voice. Founded in 2011, Dialpad is a cloud phone system and contact center with AI baked into every call, and its 2018 acquisition of voice AI startup TalkIQ, roughly $50 million, turned out to be the masterstroke. That technology, matured into DialpadGPT and trained on billions of minutes of business conversations, now powers live transcription, sentiment analysis, real-time coaching cards, automatic summaries, and AI scorecards across the platform.
For support teams the draw is having telephony, contact center, and support AI from one vendor. Dialpad Support, the contact-center product, starts around $80 per user per month, while the base Connect phone system starts at $15, and unusually for the industry the core AI features are bundled into standard plans rather than sold as add-ons. Newer agentic AI agents that autonomously handle scheduling, order lookups, and ticket updates are priced per conversation on a quoted basis. Integrations cover Salesforce, Zendesk, HubSpot, ServiceNow, Google Workspace, and Microsoft Teams.
The company was valued at $2.2 billion after an ICONIQ-led round in 2021 and has raised roughly $450 million from investors including Andreessen Horowitz and Google Ventures.
Dialpad fits teams that want to consolidate: if you are buying a business phone system anyway and support runs heavily on calls, getting transcription, coaching, QA, and virtual agents in the same box is genuinely efficient. Voice-AI purists may prefer a specialist like PolyAI; pragmatists consolidating vendors will like Dialpad a lot.
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