MindTitan
Delivering AI-Driven Cognitive Solutions across Industries

With the growing prevalence of AI, it is definitely exciting to think about the possibilities it can create for businesses. Keeping this in mind, AI solution providers are changing the game in the most innovative way possible across industries. One of the prominent solution providers in AI space is MindTitan, the Tallinn, Estonia-based company provides cognitive solutions to different industries and enhances efficiency and profitability for the client. “We create self-learning systems that can adapt to the working environment of the organizations in need of intelligent solutions,” starts Kristjan Jansons, Co-Founder and CEO of MindTitan. As a master of this art, the company has gained prominence in various industries including finance and banking, aviation and airlines, telecommunications, and pharmaceuticals.

MindTitan’s cognitive solution and services range from implementing self-learning machines to fraud prediction. By applying self-learning algorithms in the optimal pricing area and creating completely automated chatbots, MindTitan delivers personalized offers to clients. Besides, the clients can employ MindTitan’s AI-powered recommender engines to deliver personalized marketing, sales offers, and location-based recommendations for the users considering their past and real-time activity. This offering of the company is especially preferred by aviation, retail and telecom clients.

When a client approaches MindTitan, they understand their need and build a solution that perfectly caters to them.

At first, the company gathers data and identifies the key areas where they can bring value to their client. The second step involves data integration and exploration, where MindTitan will evaluate the data needed to train relevant ML models. In the next step, the company makes sure whether the client requires any AI integration with their existing working system. If yes, MindTitan proceeds to the final steps of model development and application deployment. They build and apply various ML models and find the best model required for their client.

Besides, MindTitan builds a model to find unproductive patterns in the workflow and make them more efficient. ML is used to detect fraudulent transactions and lower the rate of fraud. The solution is potentially used to detect credit card frauds, identify money laundering activities and find insurance claim frauds in the banking arena. In the telecommunication milieu, the clients can examine fraudulent phone calls and block malicious bots to prevent the theft of personal data.

Elisa Estonia AS, a leading telecommunication company in Estonia, partnered with MindTitan and successfully deployed their cognitive solutions throughout their business. Elisa's aim was to use AI to automate part of their customer service while identifying and nurturing highly valuable customer interactions with service representatives. With MindTitan’s machine learning models and AI-powered communication tools, the client overcame the initial challenge and was able to manage high volumes of customer contacts. They set up intelligent chatbots which automate the online chat process for Elisa completely. Moreover, MindTitan helps to acquire data outside of the customer service department, such as network events, to analyze and predict customer behavior. “MindTitan has been Elisa’s partner in developing several AI-powered solutions. What we value most about them is their enthusiasm about bringing maximum business value for Elisa by using the full potential of our data,” says Mailiis Ploomann, Head of Telecom Services of Elisa.

Envisioning an AI-driven future, MindTitan is extending its reach within numerous industries. The company's future projects include implementing AI in all the possible banking areas in which ML could positively impact the business. Telecoms can evaluate the customer experience via a performance index which predicts potential bad customer experiences using MindTitan. “We aim to bring out the best in telecommunications by applying data science and building AI platforms to improve customer network experience,” concludes Kristjan Jansons.