Comparing Cognigy and Lorikeet? Both are AI Agents & Chatbots and Enterprise 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 | Lorikeet |
|---|---|---|
| Pricing | Paid · Custom | Per resolution · $1,500/mo + $0.95/resolution |
| Founded | 2016 | 2023 |
| Categories | AI Agents & Chatbots Enterprise Voice & Phone AI | AI Agents & Chatbots Enterprise |
| Integrations | Genesys Amazon Connect Twilio Salesforce Zendesk ServiceNow | Zendesk Intercom Salesforce Twilio Flex Front Stripe |
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.
Read the full Cognigy listing → · See Cognigy alternatives →
Lorikeet builds AI agents for companies where a wrong answer costs real money, or worse. Founded in Sydney in mid-2023 by Steve Hind, formerly of Stripe, and Jamie Hall, a former Google AI engineer, it deliberately courts the customers most vendors disclaim: fintechs, healthcare companies, and marketplaces whose support conversations involve moving money and medical questions. Its answer to that risk is workflow-first design. The agent follows your standard operating procedures step by step, takes real actions through integrations, and escalates precisely where the procedure says to, rather than improvising when a conversation gets unusual.
The platform pairs the customer-facing Concierge agent, which keeps a memory of each customer, with a Coach agent that scores tickets, and orchestrates multi-agent workflows across voice, chat, and email. Customers include Airwallex, Linktree, Eucalyptus, Magic Eden, and Flex, and the investor story is remarkable for a two-year-old company: a $35 million Series A led by QED in 2025 brought funding past $75 million, with backing from all three of Australia's biggest venture firms plus Canva's co-founders, reportedly the first startup since Canva to manage that.
Pricing is published, rare at this tier, and outcome-based with a twist: Start is $1,500 a month plus $0.95 per resolution, Scale is $4,000 plus $0.80, there are no implementation fees, and you can refuse to pay for resolutions you are unhappy with.
Choose Lorikeet when your support is high-stakes and process-bound: if your team works from runbooks and a compliance officer reviews the transcripts, an agent built to follow procedures exactly is worth paying for. Teams with simple FAQ queues will find cheaper fits elsewhere.
Read the full Lorikeet listing → · See Lorikeet alternatives →
Submit your AI customer support software to get listed alongside these tools and show up in head-to-head comparisons.