
Cognigy
Founded Year
2016Stage
Series C | AliveTotal Raised
$165.06MLast Raised
$100M | 10 mos agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+91 points in the past 30 days
About Cognigy
Cognigy specializes in conversational artificial intelligence platforms and customer service automation within the technology sector. It offers virtual agents that facilitate customer service interactions through voice and digital chat and support contact center operations. Its solutions are utilized across various industries, including airlines, automotive, financial services, healthcare, insurance, retail, telecommunications, and utilities. The company was founded in 2016 and is based in Dusseldorf, Germany.
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ESPs containing Cognigy
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The generative AI — customer support operations market offers solutions to improve customer support experiences and streamline operations. Generative AI automates and optimizes customer service using chatbots, virtual assistants, ticket routing, and response generation. These solutions use natural language processing and machine learning algorithms to understand customer queries, provide accurate …
Cognigy named as Leader among 15 other companies, including Microsoft, Kore.ai, and Yellow.ai.
Cognigy's Products & Differentiators
Cognigy.AI
Cognigy.AI is a low-code Conversational AI platform, enhanced with generative AI, for customer and employee service automation at scale. It helps global enterprises build, orchestrate and maintain multiple use cases of conversational automation and service their customers and employees in a fast, frictionless and efficient manner.
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Research containing Cognigy
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Cognigy in 7 CB Insights research briefs, most recently on Mar 20, 2025.

Oct 17, 2024
The generative AI for e-commerce market map
Oct 11, 2024
How genAI is reshaping the insurance value chain
Aug 7, 2024
The enterprise AI agents & copilots market map

Jan 4, 2024
The core banking automation market mapExpert Collections containing Cognigy
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Cognigy is included in 5 Expert Collections, including Artificial Intelligence.
Artificial Intelligence
10,014 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Sales & Customer Service Tech
793 items
Companies offering technology-driven solutions to enable, facilitate, and improve customer service across industries. This includes solutions pre-, during, and post-purchase of goods and services.
Generative AI
1,299 items
Companies working on generative AI applications and infrastructure.
AI Agents & Copilots Market Map (August 2024)
322 items
Corresponds to the Enterprise AI Agents & Copilots Market Map: https://app.cbinsights.com/research/enterprise-ai-agents-copilots-market-map/
AI agents
286 items
Companies developing AI agent applications and agent-specific infrastructure. Includes pure-play emerging agent startups as well as companies building agent offerings with varying levels of autonomy. Not exhaustive.
Cognigy Patents
Cognigy has filed 1 patent.

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
7/14/2017 | 4/26/2022 | Natural language processing, Computational linguistics, Artificial intelligence, Speech recognition, Human communication | Grant |
Application Date | 7/14/2017 |
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Grant Date | 4/26/2022 |
Title | |
Related Topics | Natural language processing, Computational linguistics, Artificial intelligence, Speech recognition, Human communication |
Status | Grant |
Latest Cognigy News
Mar 21, 2025
SAVED Agentic AI is ready to address customer concerns fast and effectively, solving customer issues and making the customer feel seen each and every time. Most companies operate in highly competitive markets with goods and services that exist in abundance in today's market. They rely on things like brand, unique designs or experience to attract customers. But there’s always another shoe brand, airline, toy or car. In this type of environment, the margin for error is low and customer service is a key differentiator to help companies stand out from everyone else. Yes, your customer can buy clothes from anyone for example, but they know they can trust you. So how can customer service maintain that trust? With many contact centers experiencing high call volumes, complex inquiries and customer frustration coming from unnatural voice interactions and fragmented experiences when being transferred between departments, customer service isn’t delivering what customers want and expect. And if they can’t trust you when something goes wrong, why should they trust you at all? Something needs to change. These are problems that Agentic AI is designed to address. With Agentic AI, customers can get their problems sorted out without needing to follow a script, remind the agent of their problem or start over if they’re transferred to a new agent. Agentic AI differs from earlier technology where chatbots were confined to preexisting scripts. With Agentic AI, customers can ask multifaceted questions, receive natural responses in real-time and have their problems solved. Agentic AI is starting to make waves and has great potential to vastly improve the customer experience. Gartner predicts that Agentic AI will routinely solve 80% of customer issues by 2029 . Let’s see how. Reasoning Customers often contact your organization because they have a problem they need solved. Your agents should be able to reason through the problem and offer a quick, effective solution. That means being solution oriented, not obsessed with following a script at the cost of basic common sense. According to research, first contact resolution along with short wait times are two of the most important considerations for customers looking to get their issues resolved. And why wouldn’t they be? Contacting customer service is an interruption and time investment on top of the problem they’re having! Agentic AI systems have the power to address both these concerns. Customers don’t want to have to be stuck with narrow “Press 1” phone trees, nor to hear robotic human agents follow a written script. They want the right answers the first time they ask. In contrast to the bots of old, Agentic AI is flexible enough to reason out a solution without forcing customers through a set of predefined hoops or repeating themselves again and again. Personalization Customers want to feel like their business matters. They chose your brand out of a huge pool of competitors and don’t want to be just another number. They also don’t want to have to repeat themselves every step of the way any more than your agents want to repeat the same tasks over and over. According to Deloitte research , customers say that only 43% of their experiences feel personalized, even though brands claim to personalize 61% of experiences. (Here’s a hint: using someone’s first name doesn’t count!) Such relationship activation is crucial for building customer loyalty and trust. Learning Opportunities The last thing customers want to do is start over every time they call. Agentic AI can go a long way toward improving relationship activation between brands and customers. Agentic AI uses a combination of short and long-term memory to remember your customers’ previous interactions, preferences and needs. Using this, it acts contextually and in a personalized fashion in every interaction so they feel more personalized, strengthening brand loyalty and improving relationship activation. And best of all, this only improves over time as your customers interact with you more. Orchestration & Handovers While customers have a strong preference for their issues to be handled by a single agent, sometimes that just isn’t possible and contact centers need to transfer calls as necessary to achieve resolution. The reality is customers who complain about transfers aren’t upset about the transfer itself; they’re angry about having to start over from nothing, i.e. that you’ve just thrown all the time and effort spent thus far in trash. That’s why it’s imperative to get it right, which means using a modern AI Agent that passes over all relevant information to the human agent on screen from the current interaction to relevant CRM and ticket data and summarizes what’s happened so far. Customers also don’t want to wait for your AI system to think or just bring you to a dead-end because it’s lacking the integrations to get stuff done. Your Agentic AI system has to be integrated with all of the same enterprise systems your agents can access so it can orchestrate seamlessly between all of them in real time, without any noticeable lag. Seamless resolution orchestration will contribute to the call being handled quickly, which your customers will appreciate. Conclusion Think about the last time you spent time explaining something, only to find out the other person wasn’t paying attention and asks you to repeat it all. It’s disrespectful and downright infuriating. Customers’ time is valuable. When they get in touch with a contact center, they want their issues handled quickly and efficiently — and they want the experience personalized, so they feel less like a number and more like a real person the brand cares about. AI-first contact centers can address these customer concerns by providing fast, personalized service, with no annoying wait times or lagging responses. In an era where customer experience is one of the few true brand differentiators, your contact center should deliver the best experience for your customers. Agentic AI will help you deliver on that promise. See Cognigy’s Agentic AI in action at cognigy.com . About the Author Jarrod Davis’s goal in life is being able to talk to multiple people in support and never having to repeat himself. When not evangelizing conversational AI, he can usually be found living in southern Germany as an American expat. Connect with Jarrod Davis:
Cognigy Frequently Asked Questions (FAQ)
When was Cognigy founded?
Cognigy was founded in 2016.
Where is Cognigy's headquarters?
Cognigy's headquarters is located at Speditionstrabe 1, Dusseldorf.
What is Cognigy's latest funding round?
Cognigy's latest funding round is Series C.
How much did Cognigy raise?
Cognigy raised a total of $165.06M.
Who are the investors of Cognigy?
Investors of Cognigy include DN Capital, DTCP, Insight Partners, Eurazeo, Nordic Makers and 10 more.
Who are Cognigy's competitors?
Competitors of Cognigy include Automaise, LiaPlus AI, Yampa, Amelia, AlloBrain and 7 more.
What products does Cognigy offer?
Cognigy's products include Cognigy.AI.
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Compare Cognigy to Competitors

Inbenta specializes in conversational AI and automation within the customer service sector. The company offers a suite of products, including AI-enabled chatbots, search tools, and knowledge management systems designed to enhance customer experience and streamline service operations. Inbenta's conversational AI platform is utilized across various industries to automate customer interactions, provide self-service options, and improve overall customer satisfaction. It was founded in 2005 and is based in Allen, Texas.

OneReach.ai provides no-code conversational AI platforms that create and orchestrate multimodal AI agents within various business sectors. Their offerings include tools for building customizable AI agents that automate tasks, processes, and communications across departments such as operations, HR, IT help desk, finance, legal, and customer services. OneReach.ai serves sectors that require AI-driven workflow automation and customer interaction solutions. It is based in Golden, Colorado.

Ada specializes in artificial intelligence (AI) powered customer service automation within various business sectors. The company offers a platform that enables enterprises to resolve customer inquiries efficiently across multiple channels and languages without the need for extensive human intervention. Ada's solutions cater to industries such as e-commerce, financial technology, software as a service (SaaS), and gaming. It was founded in 2016 and is based in Toronto, Canada.

Yampa specializes in autonomous AI agents for the customer service sector. Its main offerings include multichannel and multilingual support, tone of voice and context-aware personalization, and end-to-end process automation. Yampa primarily serves sectors that require customer care solutions. It was founded in 2024 and is based in Paris, France.

Enterprise Bot specializes in conversational automation for enterprises. It focuses on the domain of artificial intelligence and process automation. The company offers a suite of products, including chatbots, email response automation, voice bots, and live chat solutions, all designed to enhance customer and employee experiences through natural language processing and sentiment analysis. It primarily serves the technology sector. The company was founded in 2016 and is based in Zurich, Switzerland.

Conversica specializes in conversational AI solutions for revenue teams in various business sectors. The company offers Revenue Digital Assistants that facilitate AI-powered, two-way dialogues to drive opportunities across the customer lifecycle. Its digital assistants engage and nurture leads, qualify sales opportunities, and support customer success initiatives with human-like interactions. It was founded in 2007 and is based in Foster City, California.
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