Manufacturing & Industry
Chemicals
In chemicals, AI works mostly on process data: catching deviation early from sensor streams and optimising formulations.
Problems we address in this sector
- Anomaly and process-deviation detection in sensor streams
- Optimising formulations and operating parameters for yield
- Making laboratory records and technical documents searchable
- Root cause analysis of quality deviations
Approaches we apply
- MLOps & Model OperationsEvaluation infrastructure, observability, hallucination and regression tracking, continuous retraining.
- Reinforcement Learning & Decision SystemsDecision policies that adapt to changing conditions, reward design, training in simulation and safe transfer to the field.
- Generative AI & LLMsRAG architectures, domain adaptation and fine-tuning, distillation into smaller models, Turkish evaluation sets and on-premise deployment.
Other sectors in this group
Do you have a problem in this sector?
Let's define the problem together in a technical consultation; feasibility is assessed at the first stage.