How did the three of you meet?

Guillaume: Cyrille was one of my clients in my previous job and became a dear friend, and Arun was well known to him. We discovered that we shared a similar understanding of market needs and how AI could address industry challenges, that’s why we decided to work together and create Letztec.

Arun: We were all friends without realising that each of us was searching for a new challenge. When we finally met and discussed our ideas, we saw an opportunity to establish something in the IT sector to fill gaps in the Luxembourg and global markets. There was a disconnect between market needs and the solutions offered by big players (some of whom we had worked for). From the outset, we decided to maintain a global perspective and operate across multiple industries.

Cyrille: Many people recognise that AI is here, but they don’t know where to start or how to identify which of their business processes could be improved. We want to help companies take their first steps into AI.

Can you give me examples of some of the projects you have worked on so far?

• Bosch: Robert Bosch GmbH, commonly known as Bosch, is a German multinational engineering and technology company for whom we have built an AI enabled IOT platform. We have been helping Bosch to make their camera hardware smarter by integrating them with computer vision machine/deep learning solutions. We provide Full Stack Software Development, UI/UX Designer Services, Testing, Managed Services.
• Grab: Grab is the largest ride-hailing company in South East Asia with a valuation of $40B and seen as a company with highly advanced technology practices.  We are one of the preferred vendors for Grab, developing software for Grab’s B2B division. We have a dedicated team of 15 members that have been providing services to Grab for the past 3 years, representing over 300 man-months and this is growing. We provide Full Stack Software Development, UI/UX Designer Services, Testing, Technical Support.
• The Economist: The Economist Group is a global media and information-services company. We provide managed services for their back-end operations. We manage and maintain platform operations, performance testing, end user performance compliance and updating of systems.
• Rhino: Rhino is Europe’s leading device and software platform for energy metering. We spearhead all software development efforts for Rhino, including building an IoT hub that collects meter readings from all devices and developing dashboards for Rhino’s customers. Our end-to-end services encompass DevOps, software development, and big data solutions. Additionally, we have pioneered an industry-first feature that enables users to interact with their energy data conversationally, allowing them to ask questions like, “Compare my energy usage between last month and this month”.

Artificial Intelligence (AI) is revolutionising business operations by driving efficiency, automation, and smarter decision-making. Companies that embrace AI gain a competitive edge in an increasingly digital world.

With your development team in India, is it a challenge for clients to get what they want?

Arun: Not at all. We are based in Luxembourg, meaning we are close to our clients, our partners, and our networks. If our clients have an issue, we are here—we are truly local. In terms of digital service provision, solutions can be delivered from anywhere in the world, and we also have the flexibility to bring developers to Luxembourg when necessary. However, our primary approach is to have the management team on-site while our developers remain in India. More than 50% of our customers are in Europe, so ensuring cultural fit has been a priority. Local management focusing on cultural compatibility has facilitated the initiation and delivery of projects, enhancing our ability to work with European customers.

It is often said that AI tools are only as effective as the data they rely on. Many financial sector companies in Luxembourg struggle with unstructured, poor-quality data. How do you help your clients improve their data?

Arun: You’re absolutely right—data quality is key. However, concerns about data should not prevent companies from exploring AI solutions. We have been working with a client to build their entire data warehousing infrastructure, enabling them to generate high-quality data to power the AI tools they need.

For Kalbe, which is the largest pharmaceutical company in Indonesia we built an end-to-end data platform capturing data from all business and operational platforms. We provided data scientist services that created dashboards providing a 360-degree view of the company’s business and operations. Insights provided by us helped Kalbe save 30% in logistics and stock expiry. The platform also provided actionable insights and reports to help Kalbe save 20% in sales commission through innovative distribution methods.

Working with another client in the sports industry in the United States was particularly interesting. As you know, scouts collect vast amounts of data in their search for the next big talent. This data is then distributed to generate interest. We developed a system where, during a game, a scout can talk to the application. By the time they return to their office, the content has already been transcribed, key points highlighted, and the information structured in a grid.

What is your vision for the future?

Arun: As we mentioned earlier, we currently engage around 200 developers, but I believe demand could drive this number up to 1,000 within the next three years. In addition to our tailor-made solutions, we also aim to develop two or three mass-market products within the FinTech space.

Guillaume: We are already working on two important projects and will soon announce new partnerships—specifically focusing on a major AI initiative in Luxembourg. Our goal is to become a key player in AI for Luxembourg.

Cyrille: I want Letztec to become the go-to reference for AI development and the main point of contact for businesses exploring AI solutions.