Startups > Cognigy

Cognigy

Cognigy helps enterprises automate customer communications with low-code conversational AI.

Series C $165M total Founded 2016 Düsseldorf, Nordrhein-Westfalen 175 employees

Cognigy.AI is a low-code conversational AI platform that enables enterprises to automate customer and employee communications through intelligent voice- and chatbots across any channel (web, phone, SMS, mobile). The platform combines Large Language Models with structured logic workflows, allowing organizations to deploy sophisticated AI agents capable of independent decision-making while maintaining precise intent recognition. Available as SaaS or on-premise, it supports multilingual conversations and integrates seamlessly with backend systems. Now part of NICE following a $955M acquisition in September 2025.

Problem solved

Large enterprises struggle to scale customer and employee communications efficiently while maintaining quality, consistency, and the ability to handle both routine queries and complex interactions across multiple channels and languages.

Target customer

Enterprise organizations in aviation, automotive, pharmaceuticals, telecommunications, and logistics with complex customer service and employee communication needs requiring multilingual, multi-channel support.

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Founders

Philipp Heltewig

Co-founder & CEO (now Chief AI Officer at NICE)

German-Australian entrepreneur with degrees from QUT and University of Münster; previously held key positions at SAP and Sitecore where he led global operations and sales; 10+ years in web content management and digital marketing.

Sascha Poggemann

Co-founder (now COO of NICE Cognigy)

MSc Information Technology holder; previously Head of Technical Development at iExergy leading international teams in technology scouting, business development, and IoT/cloud technology.

Benjamin Mayr

Co-founder

Co-founder since 2016; limited public background information available.

Funding history

Series A Unknown (multi-million dollar round) 2019-2021 Led by DN Capital, Nordic Makers, Inventures · Global Brain (first investment Jan 27, 2021)

Series B $44M 2021 Led by Insight Partners · DN Capital, Global Brain, Nordic Makers, Inventures, Digital Innovation and Growth

Series B Extension $15M 2022 Led by DTCP · Existing Series B investors

Series C $100M June 11, 2024 Led by Eurazeo Growth · Insight Partners, DTCP, DN Capital

Total raised: $165M

Industries

Artificial Intelligence (AI) Customer Service Digital Marketing Machine Learning Natural Language Processing Sales Automation Virtual Assistant

Pricing

Custom enterprise pricing with no public price list. Enterprise contracts typically start above $300K annually. Platform charges separately for voice, chat, and LLM workloads plus add-ons (Agent Copilot, Knowledge AI). Average annual cost approximately $115,000; usage-based pricing starts at $2,500/month.

Notable customers

Lufthansa Group, Bosch, Daimler, Vueling Airlines, Mobily, BioNTech

Integrations

Backend systems (custom integrations), Zendesk (documentation), HubSpot (marketing automation and CMS), Google Tag Manager, Microsoft 365, Cloudflare

Tech stack

Swiper (JavaScript libraries) LazySizes (JavaScript libraries) jQuery (JavaScript libraries) FancyBox (JavaScript libraries) core-js (JavaScript libraries) Zendesk (Documentation) HTTP/3 HubSpot CMS Hub (CMS) HubSpot Analytics (Analytics) Matomo Analytics (Analytics) Cloudflare Bot Management (Security) HSTS (Security) Microsoft 365 (Email) Cloudflare (CDN) HubSpot (Marketing automation) Google Tag Manager (Tag managers) ALL-INKL (Hosting)

Website

cognigy.com/

Competitors

Salesforce Einstein Bots

Broader CRM ecosystem integration but less specialized in conversational AI autonomy and multi-channel voice support.

IBM Watson Assistant

More established enterprise player with broader AI services portfolio but steeper learning curve and less low-code focus.

Microsoft Bot Framework

Developer-first approach with heavy coding requirements; lacks the low-code conversational flow builder and autonomous AI agent capabilities.

Google Dialogflow

Google Cloud-native with strong NLU but limited to text/voice channels and less comprehensive enterprise workflow integration.

Why this matters: Cognigy represents a mature, well-capitalized player in enterprise conversational AI that successfully combined low-code accessibility with sophisticated autonomous agent capabilities—validated by deployments with Fortune 500 companies. Its $955M acquisition by NICE in 2025 signals the consolidation of conversational AI into broader customer experience platforms, making it a bellwether for how enterprise CX vendors are integrating AI agents.

Best for: Large enterprises managing high-volume customer interactions across multiple channels who need to deploy sophisticated AI agents while maintaining control over critical business processes through structured workflows.

Use cases

Airline Customer Service Automation

Lufthansa uses Cognigy.AI to manage customer communications during crises and peak travel periods, handling booking inquiries, rebooking requests, and status updates across voice and chat channels in multiple languages. The platform's ability to combine structured workflows with AI reasoning enables handling both routine queries and complex exception scenarios without human escalation.

Internal Employee Communications

Bosch deployed Cognigy.AI globally to create 'The Bosch Chatbot Suite,' providing employees with training resources and platform access through a centralized AI interface. The solution operates across 90+ use cases spanning multiple time zones, enabling self-service access to information and AI-assisted task automation for daily operations.

Multilingual Customer Support Scaling

Organizations like Mobily use Cognigy.AI to scale customer support operations across multiple geographies and languages without proportional increases in staffing. The platform's multilingual NLU and autonomous agent capabilities enable consistent service quality while reducing operational costs and response times.

Alternatives

Salesforce Einstein Bots Choose if you need deep Salesforce CRM integration and broader business cloud ecosystem; Cognigy is stronger for independent multi-channel voice and autonomous AI agents.

IBM Watson Assistant Choose if you require integration with broader IBM enterprise AI services; Cognigy excels in ease of use and specialized conversational AI autonomy.

Microsoft Bot Framework Choose if you have deep Microsoft ecosystem investment and developer teams; Cognigy is better for business users and low-code deployment.

FAQ

What does Cognigy do? +

Cognigy.AI is a low-code platform that enables enterprises to automate customer and employee communications using intelligent voice- and chatbots. It combines Large Language Models with structured logic workflows to handle both routine queries and complex interactions across multiple channels (web, phone, SMS, mobile) and languages. The platform supports autonomous AI agents capable of independent decision-making while maintaining integration with backend business systems.

How much does Cognigy cost? +

Cognigy uses custom enterprise pricing with no public price list. Most enterprise contracts start above $300K annually, with average costs around $115,000/year. The platform charges separately for voice, chat, and LLM workloads plus optional add-ons like Agent Copilot and Knowledge AI. Usage-based pricing starts at $2,500/month.

What are alternatives to Cognigy? +

Key alternatives include Salesforce Einstein Bots (broader CRM ecosystem), IBM Watson Assistant (established enterprise AI platform), Microsoft Bot Framework (developer-first with Azure integration), and Google Dialogflow (Google Cloud-native). Each has different strengths depending on your existing technology stack and whether you prioritize low-code simplicity versus broader ecosystem integration.

Who uses Cognigy? +

Cognigy serves large enterprises in aviation (Lufthansa, Vueling), automotive (Bosch, Daimler), pharmaceuticals (BioNTech), telecommunications (Mobily), and other industries requiring sophisticated multi-channel customer communication automation. Target customers are organizations with complex, high-volume customer interactions across multiple languages and geographies.

How does Cognigy compare to Salesforce Einstein Bots? +

Cognigy specializes in standalone conversational AI with superior multi-channel voice support and autonomous agent capabilities, while Salesforce Einstein Bots is designed for integration within the Salesforce ecosystem. Cognigy offers easier low-code development for complex conversational flows, whereas Salesforce focuses on CRM-integrated automation. Choose Cognigy for independent, AI-native deployment; choose Salesforce if CRM integration is primary.