Comparing Cognigy and Posh AI? Both are AI Agents & Chatbots 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 | Posh AI |
|---|---|---|
| Pricing | Paid · Custom | Paid · Custom |
| Founded | 2016 | 2018 |
| Categories | AI Agents & Chatbots Contact Center & CCaaS Enterprise Voice & Phone AI | AI Agents & Chatbots Voice & Phone AI |
| Integrations | Genesys Amazon Connect Twilio Salesforce Zendesk ServiceNow | Fiserv Jack Henry Symitar Corelation COCC Q2 Alkami Glia Genesys Cloud |
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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Posh AI builds an agentic AI platform for banks and credit unions, covering both sides of the desk. Member facing products include a Voice Assistant for 24/7 phone support, a Digital Assistant for web and mobile chat, Posh Answers for help center search, and Posh Translate for live spoken interpretation. Employee facing tools include a Knowledge Assistant, a training Simulator, and CoachQA for conversation quality and compliance monitoring. All agents run inside Operating Procedures, Posh's framework for pairing LLM flexibility with code level control.
Karan Kashyap and Matt McEachern founded Posh in 2018 out of MIT, where both studied AI, and the Boston company remains independent and active as of mid 2026, with no acquisition on record. It raised a $27.5 million Series A led by Canapi Ventures in December 2021, with credit union industry funds Curql Collective and CMFG Ventures participating, and third party trackers put total funding around $45 million. Posh serves more than 100 financial institutions, including VyStar Credit Union, Citadel Credit Union, Camden National Bank, and Hudson Valley Credit Union. In late 2025 it relaunched Knowledge Assistant as an AI native workspace for agentic action.
Posh publishes no pricing. Everything is quote based per institution, shaped by asset size, products licensed, and integrations. The company leads with customer ROI stories instead, like Citadel's reported $660,000 in annual savings, so treat those as marketing anchors and negotiate accordingly. Expect a demo led sales cycle and implementation work that depends on your telephony and core stack; nothing about the process is self serve.
Choose Posh if you are a community financial institution that wants credible voice and chat automation plus employee copilots from a team that only does banking, with prebuilt hooks into cores like Fiserv, Symitar, and Corelation. Skip it if you are not a bank or credit union, or if you need transparent self serve pricing.
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