AI & data

AI development and automation services

Custom AI solutions, from the chatbot that answers your customers to image recognition, to automate your teams' repetitive tasks.

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Overview

We start from one precise task: answering your customers' frequent questions, sorting documents, forecasting demand. We build the AI tool that handles it, connect it to your existing systems and measure the time saved.

What you gain

E-commerce: Product recommendation engines to improve conversion rates

Finance: Fraud detection systems to limit losses

Healthcare: Medical image analysis to assist radiologists

What is included

What we put in place, within the scope agreed together during the scoping call.

Intelligent chatbots

Natural language conversational AI for customer support
Recommendation engines

Personalized content and product suggestions
Computer vision

Image recognition, object detection, and facial recognition
Natural language processing

Text understanding, sentiment analysis, and document processing
Process automation (RPA)

Intelligent automation of repetitive business tasks
Predictive maintenance

AI-powered equipment monitoring and failure prediction
Fraud detection

Real-time anomaly detection and risk assessment

How we work

Step 01
Use case definition

We identify high-impact automation opportunities, define success criteria, and assess AI feasibility.
Step 02
Data collection & preparation

We gather training data, label datasets if needed, and prepare data for AI model development.
Step 03
AI model development

We develop custom AI models or leverage pre-trained models (OpenAI, Google, etc.) and fine-tune for your needs.
Step 04
Integration & testing

We integrate AI systems with your applications, APIs, and workflows, then conduct thorough testing.
Step 05
Deployment & optimization

We deploy AI solutions to production, monitor performance, and continuously optimize based on usage patterns.

The tools we use

We choose each tool for your project, your team and your budget.

OpenAI GPT: Advanced language models for chatbots and text generation
TensorFlow: Deep learning framework for custom AI models
PyTorch: Flexible framework for AI research and development
Dialogflow: Google's chatbot and conversational AI platform
Azure Cognitive Services: Pre-built AI APIs for vision, speech, and language

Frequently asked questions

The questions we are asked most often about this service.

Traditional software follows explicit programmed rules, while AI learns patterns from data and can handle ambiguous situations. AI improves with more data and can adapt to new scenarios without reprogramming.

It depends on the scope. We give you a precise timeline after the scoping call.

Yes, we fine-tune AI models on your domain-specific data and terminology. Through training on your documents, support tickets, and industry knowledge, AI systems learn your specialized vocabulary and context.