Easy-to-use platform even for non-techies
Understand what your customers say in any language
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Integrate with any CRMs, ERPs, RPA, and more
Enhance customer interactions with AI on the frontline
Connect customers to the right agent on the first try
Give your agents the confidence to solve complex requests
Boost your customers’ experience and agents’ efficiency
Improve customer satisfaction with detailed insights
Engage with your customers on the platform of their choice
Drive appropriate actions with intelligent processes
Integrate easily with existing enterprise infrastructure
Increase operational efficiency and reduce agent attrition
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An in-depth guide into the trusted use of AI in customer service automation
Find out everything you need to know about establishing "Explainable AI" based on the AIC4 criteria catalogue.
Innovation is at the core of a company's competitiveness. Driven by R&D it is a process that determines how the company searches for novel problems and solutions, synthesizes new ideas into a business concept, and eventually crafts them into successful products.
At Cognigy, our R&D mission is simple: Provide the most advanced, most flexible Customer Service Automation Platform to help global enterprises service their customers in a fast, frictionless & automated way. Of course, we leverage our experience and expertise within the Conversational AI space. But our mission and ambition drive us to focus on long-term goals. We believe that an AI-driven future deserves a sizable investment. This is the reason our business devotes a very significant portion of total earnings to R&D activities aimed at discovering and developing new AI capabilities and research initiatives. These state-of-the-art innovations and research initiatives are led by our R&D team who work relentlessly on ground-breaking technologies, making us a leader in Conversational Automation
In this article we will outline Cognigy's approach to innovation and explain our four pillars for innovation: Core Technology Management, Academic Community, Partner & Customer Network and AI Research.
Since our founding, Cognigy has amassed unrivaled expertise in automating customer and employee conversations, all of which are backed by various Conversational AI patents. A prime example is the Cognigy Intent Analyzer. One of our advanced capabilities provides predictive insights into the NLU model performance. It is used to optimize user input recognition even before deploying to production and ensures maximum NLU performance with minimal training effort and keeps even the most complex enterprise conversational projects on track to success.
Another patented outcome of our in-depth research efforts is “Reconfirmation Questions and self-learning sentences”. This integrated functionality bolsters our platform by employing statistical relevance evaluations to enhance intent identification over numerous established user encounters and storing them for subsequent use. Essentially, it enables the AI to get smarter over time, fully autonomously.
Cognigy lays utmost importance on knowledge transfer with scientific institutes. It encourages an open and collaborative research environment where employees collaborate with external partners and universities. This has led Cognigy to engage in a number of cooperations, to mention two exciting projects:
Just as important, Cognigy's vast, resourceful, and varied network of partners like Accenture, Deloitte, and Deutsche Telekom are vital to innovation. Pioneering use cases developed with implementation partners & customers are crucial to in-depth research projects and successful products.
We also conduct product feature research in collaboration with our customers which entails empathizing and analyzing customer needs, developing features to meet those needs, and putting potential product features to the test with customers. In this way, we are able to better grasp the benefits that translate into genuine value for the customer. The approach of close cooperation with customers has, for example, helped us craft our conversational AI analytics stack - Cognigy Insights.
Investing time and money on R&D does not ensure success. Extensive market research to discover customer needs and aspirations are the keys to effective R&D. As customer preferences always change, we evaluate research on a regular basis.
The research method at Cognigy is user-centric, with customer pain points, feedbacks, and needs forming an essential part of the research. Cognigy also spends significantly in user analytics, data science, and market research to come up with research subjects that properly pinpoint our customer requirements and desires.
From research through delivery, new features or products go through a tiered process before being released to the market. Rapid prototyping, design thinking, and an open, collaborative atmosphere are encouraged during the discovery or research stage, which frequently involves collaboration with universities.
In the area of machine learning, research initiatives strive to create a virtuous cycle of iteration. Starting with the formulation of a question, problem, or idea, then developing appropriate measurement metrics and targets, and lastly iterating on algorithms and product design quickly.
Whenever we can we benchmark our research results and always strive to raise the performance bar. We tested our state-of-the-art multilingual NLU with market leaders like Microsoft LUIS, Google Dialogflow, and IBM Watson. The end results depicted that Cognigy's recognition of the intent was far more accurate, and the confidence was constantly high.
In addition, our innovative conversational AI technology stands in line with trusted values and ethics. AI safety, explainability, and privacy guide our actions. As a result, Cognigy.AI fulfilled the 7 key criteria to gain a Trustworthy AI status set by the AI Cloud Service Compliance Criteria Catalogue (AIC4) audited by PricewaterhouseCoopers (PwC).
During the discovery phase, we compile all the results from our extensive research into specifications or design documents, which are frequently accompanied by a prototype or proof of concept. These requirements are subsequently subjected to peer review open to the whole AI and engineering team.
When the specification is approved, it is entered into an agile, customer-centric delivery process in which engineers work in biweekly sprints. Features go through full development, quality assurance, and deployment lifecycle where engineers are responsible for running their own code in collaboration with site reliability engineering and support teams. Upon conducting all these crucial steps, products are then ready for the market launch.
Cognigy is committed to innovation and believes that allows us to create more efficient products and new ways of delivering our services. Our innovation excellence is the result of a multi-year effort involving most, if not all, aspects of the company. As a result, our products are backed by extensive research, allowing us to provide superior customer experiences.
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