Trusted by companies globally to drive digital transformation
Learn how leading enterprises use Re:infer to reduce costs, win customers, automate more and transform their services. See how you can enhance the customer experience, boost operational efficiency and scale your services to the next level.
“The enterprise is built on communications. It should be no surprise that, to digitally transform, NLP is not just a nice-to-have, it is a must-have, which is why our partnership with Re:infer is so important to us and our clients. Re:infer's deep learning platform allows us to unpick customer intents and unlock understanding in unstructured processes across the business.”
Re:infer enables us to hear every customer and plays a critical role in our customer-centricity strategy. With Re:infer we can continually improve our product, service and support to meet the demands of our customers.
“We were able to capture years of the bank’s domain knowledge essentially overnight.”
"Re:Infer enables us to have a more data-driven approach, giving us the chance to digitise qualitative customer feedback, and even to embrace the so-far ignored silent majority of customers. As a CX leader, I feel much more empowered when our analysis is linked to revenue."
“When I joined Farfetch I was totally cynical about text analytics. Re:infer has really changed my mind on that. The power of taking detailed qualitative feedback data and quantifying it is really special. Re:infer has definitely been good value for Farfetch.”
“Re:infer has transformed how we do business, and I know we’ve only scratched the surface of what it can do. We’ve saved time and resources that can now be put toward serving our clients better than ever."
To remain competitive, insurers should accelerate underwriting transformation. They can do this by automating routine tasks and augmenting teams with emerging technologies and alternative data sources to empower underwriting professionals to become "exponential" - more valuable than ever.
“Re:infer's AI platform lets us understand what our customers tell us – at scale. Ultimately it helps us make better product decisions.”
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