AI assistants that plan and carry out connected tasks, such as preparing a model, running a calculation and summarising the results, with engineering checks at the important steps.
KYAMOS agentic AI services help engineers automate repetitive simulation tasks, reduce manual setup time, and move from a written request to results ready for engineering review. Automation does not establish the physical accuracy of a model.
Explore a 3D greenhouse, ask its AI guide, and compare model predictions with saved physics results.
Read-only demonstration. Displayed values are model estimates, not live sensor readings or equipment control.
Multi-agent orchestration means coordinating several AI assistants for a shared task — from problem setup through execution to post-processing.
Large language models (LLMs) interpret written requests for simulation setup, design comparisons and result summaries. Models can run on KYAMOS graphics processors, which perform many calculations at once.
AI inference — running a trained model — can use KYAMOS-owned computers. This can reduce connections to external model providers; the data-handling arrangements are agreed for each project.
Autonomous agents that set up, run, monitor, and post-process fluid-flow simulations, reducing repetitive manual work. This is computational fluid dynamics (CFD): using numerical calculations to study moving liquids and gases.
For engineering teams with repeated modelling and reporting tasks. Tell us about the repeated task, tools, data restrictions and review steps you need.
Pricing: quoted per project. Scope, computing needs, validation checks and support determine the quote. Contact us to agree access and deliverables before work starts.
Agree which actions may run automatically and which require human approval. An AI-written report is not independent engineering validation.