Research direction
Intelligence that can show its work.
We are exploring how AI can support enterprise decisions that people can understand and check. These questions guide our product design.
Our thesis
A useful answer needs more than fluent language. It has to be right for the product and easy to verify. That is the standard we are designing toward.
Research areas
Questions behind the product.
- 01
Configuration from requirements
How can customer requirements become a configuration that can be built?
Exploring how AI can help reach a configuration that meets the engineering rules, and how to find alternatives when requirements conflict.
- 02
Lasting product knowledge
How should products, processes and costs be modeled so knowledge survives decades of change?
Investigating how product knowledge can outlast the people and business systems that hold it today.
- 03
Search and knowledge capture
How do drawings, legacy rule tables and expert conversations become knowledge a team can find and use?
Exploring how to capture that knowledge and find it again, with its sources in view.
- 04
Dependable agents
When is it safe to let an agent act, and how do you know?
Studying how people can stay in control of what an agent does and understand what it did.
- 05
Decisions under uncertainty
How do you price, promise and plan when costs, capacity and supply all move at once?
Exploring decision support that makes assumptions, competing objectives and uncertainty visible to the person making a commitment.
Work on problems that matter to the physical economy.
Help explore the connection between AI, enterprise knowledge and the decisions behind complex products.