Models that support decisions and operations.

Start with a decision to improve

Forecasting demand, detecting an anomaly, classifying a document or recommending a next action: an artificial intelligence project starts with a specific business need and an outcome you can evaluate.

Altodia helps you select use cases, design models and integrate them into your applications. We work with your teams to assess data availability, establish a baseline and define the role of human oversight.

Our artificial intelligence services

• Scoping and enablement — help teams understand what AI can do, select use cases and define success criteria.
• Forecasting and machine learning — design forecasting, classification, recommendation or anomaly detection models for your context.
• Language and vision — analyze text, extract information from documents or process images using suitable models.
• Evaluation and explainability — measure quality on representative data, examine errors and make results understandable to users.
• Integration and MLOps — deploy models through APIs or integrated processing, version datasets and models, monitor performance and organize retraining.
• Governance and adoption — define responsibilities, conditions of use, human controls and confidentiality requirements with your teams.

Practical applications

• Anticipate demand to support inventory and resource planning.
• Identify unusual patterns in industrial data or transaction flows.
• Classify and route documents to reduce manual work.
• Suggest recommendations that teams can review and adjust.

From experimentation to everyday use

A pilot compares model outcomes with the current process. We track the accuracy that matters to the business, errors, time saved and operating costs. Production deployment includes supervision, drift monitoring and recovery procedures suited to the consequences of an error.

Our Big Data services cover preparing and making data available. For knowledge assistants, RAG, MCP, A2A and agentic systems, explore Generative AI & agents.

Let’s discuss your AI use case and define a measurable first step.