Sold by: Cognigy.AI
Deployed on AWS
NiCE Cognigy is transforming the customer service industry with the most advanced AI Agent platform for enterprise contact centers. Its award-winning solution, Cognigy.AI, empowers enterprises to deliver instant, hyper-personalized, multilingual service on any channel. By integrating Generative and Conversational AI to create Agentic AI, NiCE Cognigy delivers AI Agents that redefine customer experiences, drive satisfaction, and support contact center employees in real-time.
4.6
Overview
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Agentic AI Agents for Enterprise Contact Centers
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AI Agent Skills & Integrations
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Happier Customers & Increased Efficiency
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Platform Overview
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Secure, Certified & Tested
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Product video
NiCE Cognigy is transforming the customer service industry with the most advanced AI Agent platform for enterprise contact centers. Its award-winning solution, Cognigy.AI, empowers enterprises to deliver instant, hyper-personalized, multilingual service on any channel. By integrating Generative and Conversational AI to create Agentic AI, NiCE Cognigy delivers AI Agents that redefine customer experiences, drive satisfaction, and support contact center employees in real-time.
Built on the world's leading Conversational AI platform, Cognigy.AI delivers next-gen customer service through solutions like Voice AI Agents, Digital Chat AI Agents, and Agent Copilot. With dozens of pretrained skills and Agentic AI capabilities, the platform seamlessly integrates into enterprise systems including Amazon Bedrock. By leveraging memory and context, NiCE Cognigy's AI Agents provide hyper-personalized interactions and strengthen customer relationships. Agentic AI also fosters collaboration between AI and human agents, giving them superpowers to deliver exceptional service.
Over 1000 brands worldwide trust NiCE Cognigy and its vast partner network to create AI customer service agents for their contact center. NiCE Cognigy's impressive worldwide customer portfolio includes Bosch, Nestle, DHL, Lufthansa Group, Mercedes-Benz, and Toyota.
Highlights
- Pre-trained Agentic AI Agents with industry-specific skills and common service processes that can speak 100+ languages across 30+ voice and digital channels using over 100 prebuilt integrations.
- Multi-model LLM orchestration supporting leading vendors such as Amazon Bedrock, OpenAI, Azure OpenAI, Anthropic, Co:here, Google and Aleph Alpha.
- AI-powered knowledge management using semantic search and Generative AI to deliver accurate, contextual and individual answers to customer questions.
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Dimension | Description | Cost/12 months |
|---|---|---|
Basic 5K pm | Platform & Setup fee, 60K conversations pa, Standard Support | $43,080.00 |
Basic 5K pm + VG | Platform & Setup fee, 60K conversations pa, 5 VGs, Standard Support | $53,916.00 |
ELA_PrivateSaaS | Enterprise License Agreement for upto 10M conversations pa | $1,000,000.00 |
ELA_Ramp | Ramp up cost for ELA for Cognigy AI and Voice Gateway for 10M conversations pa | $200,000.00 |
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AI generated from product descriptions
Multilingual and Multi-Channel Support
Pre-trained AI agents capable of supporting 100+ languages across 30+ voice and digital channels with over 100 prebuilt integrations
Multi-Model LLM Orchestration
Support for multiple large language model vendors including Amazon Bedrock, OpenAI, Azure OpenAI, Anthropic, Cohere, Google, and Aleph Alpha
AI-Powered Knowledge Management
Semantic search and Generative AI-based knowledge management system for delivering contextual and accurate answers to customer inquiries
Conversational and Generative AI Integration
Integration of Conversational AI and Generative AI technologies to create Agentic AI capabilities for autonomous agent operations
Industry-Specific Pre-trained Skills
Pre-configured AI agents with industry-specific skills and common service processes ready for deployment
Omnichannel Communication Support
AI agents capable of handling interactions across chat, email, voice, SMS, Slack, and API-based use cases
No-Code Agent Configuration
Agent builder enabling deployment of AI agents for support, onboarding, returns, and billing workflows without requiring decision trees or developer resources
Real-Time Agent Assistance
AI copilot system providing human representatives with real-time content recommendations and suggested actions during customer interactions
Enterprise Security and Compliance
SOC 2, HIPAA, GDPR, and PCI compliance certifications with built-in PII redaction capabilities
Insights and Workflow Automation
Proactive insights engine trained on historical data to detect automation opportunities, identify gaps, and auto-generate content for customer interactions
Generative AI Integration
Customer and agent-facing generative AI capabilities for infinite scale and hyper personalization
Multi-Channel Communication
Support for all communication channels including voice, video, screen share, and media file sharing at customer choice
Persistent Collaboration Space
Persistent space technology that enables drop-in and drop-out engagement for prospects, customers, and employees
No-Code/Low-Code Platform
Modern no-code and low-code platform with seamless integration to existing tech-stack including CRM, calendaring, unified communications, and core banking systems
Security and Compliance
SOC2 Type 2 compliance with secure recording capabilities and compliance features for regulated environments
Standard contract
No
No
No
Customer reviews
reviewer2867889
Automated voice and chat assistants have streamlined customer and employee service workflows
Reviewed on Jul 03, 2026
Review provided by PeerSpot
What is our primary use case?
Over the past year, my main use case for Cognigy.AI Platform has been to build both voicebots and chatbots for B2C use cases across several industries. Projects have included a voice assistant for an automotive dealership that automates appointment scheduling, handling identity verification, customer data lookup, and escalation without using staff involvement, as well as projects related to an internal employee-facing chatbot for a large corporate to handle ID and document processes, automating this entire process with self-service flows such as identity verification, document request, and appointment booking, as well as developing a multilingual, agentic hotel chatbot answering guest questions using both German and English.
The project for building an assistant for an automotive dealership stands out as the most interesting and challenging because we had to integrate multiple databases and use API endpoints, which made it complex because of the way the endpoints were also built. Understanding users' requests and intents regarding when they want their input was very challenging as well.
What is most valuable?
One of the best features Cognigy.AI Platform offers is being agentic because when I previously started working with Cognigy.AI Platform, it mainly was rule-based using NLUs. Currently, having agentic capabilities and using the tools is very useful, as well as having Playbooks because they really automate the way that we test. We used to do manual testing, and with more engagement with Cognigy.AI Platform, we have started really using Playbooks, and they are a very helpful feature.
We have mainly used Playbooks for testing on Cognigy.AI Platform, so we have created our use scenario and what we expect to have from our flows. Instead of going through manual testing where we have to type everything one by one, we run a Playbook, and it checks whether the feature is completely developed as it should be or if there are any edge cases that are happening. This simplifies the way we test and really helps to stay on track with the use case that we are creating or implementing.
Cognigy.AI Platform has really helped us positively in our organization with our customer projects because the projects that I have worked on have been customer-related. We also use it internally for automating different tasks, such as ID card registration. Instead of employees going through the entire process and communicating with different colleagues to just get access for a certain building, having to do it via Cognigy.AI Platform is much easier and more simplified.
What needs improvement?
One of the biggest challenges I continue facing while using Cognigy.AI Platform is the fact that the platform lacks proper version control, and this makes it difficult when I am working with multiple team members and it is very hard to track the changes that I do or the changes that my peers are doing.
One improvement for Cognigy.AI Platform would be creating a version control, which would really help developers. This way, we can keep track of what we are doing and how we are doing it. Additionally, if we could make an integration with IDEs just like Visual Studio Code , it would make easier implementation for the coding part and just to have an integration between an IDE and the local platform. I think that would be an interesting feature.
For how long have I used the solution?
I have been working with Cognigy.AI Platform for about one year.
What do I think about the stability of the solution?
Cognigy.AI Platform is quite stable.
What do I think about the scalability of the solution?
When it comes to scalability, Cognigy.AI Platform has scaled well for our use cases when we had to move from single flows to complex multi-tools. I think it is quite scalable.
How are customer service and support?
I have not had the chance to have a lot of communication regarding customer support because it is handled by another level of support for us, but it has been quite useful. Every moment that we have had the need for customer support from Cognigy.AI Platform, they have been there for us, solving our issues and guiding us.
What was our ROI?
If I take it from the customer side point of view, I think we have seen a return on investment. Automating customer service really reduces the number of employees needed during peak hours, which is an achievement, especially if you are dealing with multiple calls per day. This would reduce a lot of the work for the employees.
Which other solutions did I evaluate?
We are currently provided with a solution for customers, and we have always been using Cognigy.AI Platform for our internal projects.
What other advice do I have?
Cognigy.AI Platform has really helped us positively in our organization with our customer projects because the projects that I have worked on have been customer-related. We also use it internally for automating different tasks, such as ID card registration. Instead of employees going through the entire process and communicating with different colleagues to just get access for a certain building, having to do it via Cognigy.AI Platform is much easier and more simplified.
I would suggest getting into Cognigy.AI Platform. The more you start working with it, the more you can see that you can do a lot of great things. You learn by doing and by being curious about what Cognigy.AI Platform can offer.
Regarding Cognigy.AI Platform's AI capabilities, I would say its governance and security are good so far, but this is not one of the scopes I focus on.
When it comes to the accuracy and reliability of output from Cognigy.AI Platform, the information is accurate. We just need to always be careful with the guardrails, mainly when prompting. I would rate this review an eight out of ten.
reviewer2846073
Voice and chat AI have transformed manager self-service and improved employee insight access
Reviewed on Jun 08, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Cognigy.AI Platform is that we use it as the enterprise voice chat AI agent layer for Instill's Manager, HR, and employee workflows, which helped us expose Instill culture operating system and people insights through conversational experience.
A quick, specific example of how I use Cognigy.AI Platform in one of those workflows is that our users, such as managers, can ask questions about why a team's trust score dropped, and they will receive Instill-backed answers through chat or voice.
What is most valuable?
The best features Cognigy.AI Platform offers include the most valuable part being the ability to deploy AI agents across voice and chat while connecting them to Instill's people, culture, and meeting insight data.
Cognigy.AI Platform has positively impacted my organization, as our ROI is coming from faster manager and HR self-services that reduce the manual people operations support and better use of Instill insights and inside conversational workflows, although the exact ROI is not calculated yet.
What needs improvement?
Connecting Cognigy.AI Platform to our internal data had some challenges, with setup complexity existing, pricing clarity needing improvement, and privacy control for sensitive employee data needing improvement.
The improvement areas for Cognigy.AI Platform include the setup complexity, pricing clarity, and privacy control, which all need to be enhanced so that we can control the employee-related data more carefully.
For how long have I used the solution?
I have been using Cognigy.AI Platform for the last three months.
What do I think about the stability of the solution?
I find Cognigy.AI Platform to be stable.
What do I think about the scalability of the solution?
The scalability of Cognigy.AI Platform is pretty good, as it's really good overall, with quality being good and it's reliable.
How are customer service and support?
The customer support is really good, as whenever we need something, we get a response very quickly.
Which solution did I use previously and why did I switch?
I did not previously use a different solution, as this is the first one.
What was our ROI?
I have seen a return on investment with the customer satisfaction score improving by nine points as an output of implementing Cognigy.AI Platform.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing was that pricing was not clear, the setup cost was not there, and pricing needs improvement for informed decisions.
Which other solutions did I evaluate?
Before choosing Cognigy.AI Platform, I evaluated Kore.ai and Yellow.ai for the chat layer before finalizing on Cognigy.AI Platform.
What other advice do I have?
Regarding time savings or efficiency gains, there's no metric for the speed, but there is a metric for the quality, so now the answers coming in the chat and voice are far better, and the NPS score has improved by nine points.
I would rate Cognigy.AI Platform a nine out of ten. I chose nine out of ten because the use case is straightforward, it's effective, and the quality of the chat is really good, though the setup complexity and pricing clarity have to be improved; once these are improved, I will give it a ten.
Regarding Cognigy.AI Platform's AI capabilities, I think its governance and security are straightforward as they have given us the certifications we needed, but I am skeptical about the data privacy of employees and if there is any role-based access control existing in the platform.
I find the accuracy and reliability of output from Cognigy.AI Platform to be very good, as the scalability of the solution was really good and our quality of answers was really good, so there is no issue in those areas.
My advice to others looking into using Cognigy.AI Platform is to explore all the options and see what your use case is before finalizing on Cognigy.AI Platform. My overall rating for this product is nine out of ten.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Richa B.
Affordable and convenient
Reviewed on Sep 18, 2024
Review provided by G2
What do you like best about the product?
One need not to be coder to use this , it helps in saving time and easier to use
What do you dislike about the product?
Limited analytical possibilities, less possiblities of advanced chat flow
What problems is the product solving and how is that benefiting you?
It helps one to maintain several chatbots, it's a great fit considering it's price
Prabal K.
Amazing, very advance conversational Ai and very easy to use
Reviewed on Feb 01, 2024
Review provided by G2
What do you like best about the product?
It is very essy to use and it has many tools intents, archors etc that canbe used to make chatbots easily, i realy loved it
What do you dislike about the product?
Overall i loved it but i must mentioned that it does not support an extensive workflow.
What problems is the product solving and how is that benefiting you?
Made it possible to monitor automation tasks on RPA platforms.
Retail
We are partnering often with Cognigy. They offer a great product for many of our customers.
Reviewed on May 22, 2023
Review provided by G2
What do you like best about the product?
Lots of features, while still easy to use.
What do you dislike about the product?
Sometimes (our) customers are too small to benefit from Cognigy.
What problems is the product solving and how is that benefiting you?
Our customers need to automate conversations. The more, the better. And Cognigy enables to do that with them.