For a business, artificial intelligence earns its keep when it takes repetitive work off someone's desk or shows a problem sooner. That is why we work on specific cases: scheduling field technicians, preparing quotes, checking reports for anomalies, reading incoming documents. Our consulting starts from your data and your workflows, and the result runs inside your business management software, not in yet another app to open.
These are cases where AI works on data the company already holds: in the management system, in job reports, in past quotes.
Assigning jobs to the right people, taking skills, availability, urgency and service contracts into account. The system proposes the day's plan, the coordinator reviews and approves it: a person still makes the decision, the puzzle-solving is done for them.
Visit order, travel times and customer time slots worked out together, so technicians spend more hours on jobs and fewer behind the wheel. When an emergency reshapes the day, the route is recalculated instead of being rebuilt by hand over the phone.
From the customer's request, even a free-form email, the system works out what is needed, pulls prices and lead times from past jobs and drafts the quote. Sales checks it and sends it: the time goes into checking, not into filling in.
Job reports, consumption, hours and costs checked every day for whatever does not add up: a job that took three times as long as usual, a material used faster than expected, a customer who keeps calling about the same fault. The alert reaches whoever has to decide, along with the data behind it.
Orders, delivery notes, invoices and customer emails read and sorted automatically, with the data extracted and loaded into the management system. Exceptions land in a queue for a person to check instead of stopping the flow.
Conversational assistants that answer from the company's own documents and data: technical manuals, price lists, order status. For customer support, or for the technician on site looking up a procedure without calling the office.
We don't implement AI for its own sake. We build concrete AI solutions that solve real problems and generate measurable impact on your business.
We identify your specific needs and define the project goals together, ensuring that AI solutions are tailored to achieve maximum impact.
We design a customized strategy for your use case, identifying the necessary data and the most suitable Machine Learning algorithms to achieve your goals.
We develop and train Machine Learning models using the data provided, ensuring accuracy and optimal performance for your specific case.
We test and optimize the models to ensure their effectiveness. We involve you in the process to make sure the results meet your expectations.
Integrating AI models into your existing systems is a crucial phase. We ensure that everything works seamlessly and without interruptions.
We monitor model performance and make continuous improvements to maintain its effectiveness over time.
We're always here for you. We provide updates, improvements, and technical support throughout your AI project's lifecycle.
We developed a custom AI chatbot for a B2B company, drastically reducing response times and freeing the support team for higher-value activities.
Requests handled by AI
Response time reduction
User satisfaction
Tech stack: Python, LangChain, OpenAI GPT-4, FastAPI, PostgreSQL. Integration with existing CRM in 8 weeks.
The time required depends on the complexity of the project and data availability. The process involves several phases: data analysis and preparation, model training, testing and validation, and finally integration into your systems. A medium-complexity project typically takes 2 to 4 months, while more advanced solutions may require 5 to 8 months. We follow an iterative approach, releasing incremental versions that allow you to evaluate progress and provide feedback throughout the entire journey.
The cost depends on several key factors: the preparation and quality of available data, the complexity of the model to be developed, the required computational infrastructure, and integrations with your existing systems. After an initial analysis and design phase, we provide a transparent and detailed estimate covering every stage of the project. We believe in clarity: no hidden costs, just a shared plan that allows you to confidently assess the investment and expected return for your business.
Yes, absolutely! We can leverage advanced techniques such as transfer learning, which allows us to reuse models pre-trained on large datasets and adapt them to your specific use case through fine-tuning. We also employ strategies like data augmentation to artificially expand your existing dataset and, when needed, synthetic data generation to supplement missing information. These techniques enable us to achieve excellent results even with smaller datasets, making AI accessible to businesses of all sizes.
We take data security very seriously. Before starting any project, we can sign a Non-Disclosure Agreement (NDA) to safeguard confidentiality. We operate in full compliance with GDPR and European data protection regulations. We use encrypted storage systems, strict access controls, and protected development environments. Where required, we also offer the option of on-premise deployment, keeping all data and models within your own corporate infrastructure for maximum control.
Yes, we handle the entire integration process of AI solutions into your existing systems. We develop custom APIs to connect artificial intelligence models with your current software and workflows, minimizing operational disruptions. We provide dedicated training for your team to ensure effective use of the new capabilities. Additionally, we adopt a gradual rollout strategy that introduces AI solutions progressively, validating each phase before moving on to the next.
Absolutely! We love collaborating with startups and small businesses to deliver real innovation. Our approach includes developing focused MVPs that allow you to quickly validate your idea on the market, with scalable solutions that grow alongside your business. We build proof of concepts to demonstrate the value of AI technology before committing to full-scale development. We also provide strategic technical consulting to help you prepare compelling presentations for funding rounds and innovation grants.
An analysis of processes and data: where time is lost, what data exists and how reliable it is, which use cases are worth the investment. The outcome is a list of interventions ranked by impact and feasibility, with a time and cost estimate for each. If a problem only needs simple automation without artificial intelligence, we tell you.
The first step toward innovation starts with a consultation. Share your ideas with us and discover how AI can transform your business.
