Case study

Ebbot AI

High-performance chatbot powered by AI and Machine Learning

We did lots of research and contacted many different vendors, and Around25 made the best impression. Since we have plenty of experience working with development teams, we knew the keys to a healthy relationship. We made the right choice.

Anders Clarin
CEO, Hello Ebbot AB
Industry Research

Customer care departments struggle to optimise their operations

There are thousands of repetitive customer care interactions that can be handled separately, so that the focus can shift to other creative or strategic customer care tasks.
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Meet the founders

Anders Clarin
CEO @ Ebbot.AI

Mikael Eriksson
CTO @ Ebbot.AI

Challenge

"We want to change the world in terms of handling customer service."

To match the founders' vision, we built a proficient customer care automation solution that can be used easily by customer care specialists. All along, we were looking to find a balance between optimal tech stack and optimal user experience.

Natural Language Processing

In EbbotAI, companies can train their own chatbot to behave like a customer care rep. It can be triggered by keywords, or it can analyse bigger chunks of text using Natural Language Processing patterns. The company can control the logic behind the scenario and then test it. To build rich conversational experiences we used DialogFlow. This allows users to create their own natural language processing.

Custom AI driven bots

Every company has their own custom bots, pre trained to handle complex scenarios based on the provided training data and user defined knowledge base. To further enhance the usefulness the bot can also call custom coded components to benefit from unmatched integration and compatibility.

Custom components

EbbotAI is built with components that can be customised to accommodate any business needs or business logic. Scenarios meet all the natural language processing requirements and allow a company to insert any kind of input from their clients (e.g. Text, List, Location, Image, File, Buttons, Rating Request, and many others).
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Partnership & Future

‍The team is getting the product rolling for corporate clients in automotive, healthcare, e-commerce and HR.

We are looking to expand our customer service tools even further by improving both bot and human interaction. For example we are strengthening the bots toolset and at the same time we are implementing screen sharing and other important tools for humans.

The partnership is characterised by business and operational like-mindedness based on common values:
Openness, Transparency, Accountability, Ownership.

All decisions are made on product centered arguments, by co-participation from every team member.

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