Built for the gap between an AI idea and a system people can actually use.

There is always more worth investigating than there are hours to investigate it. TrustyGenius gives a desk another set of eyes: agents that search for opportunities, dig through data, test ideas, monitor what is already running, and bring back what deserves attention.

People stay responsible for the work. Your team defines each agent's job, controls what it can reach, decides what it may do alone, and approves the rest. The platform's contribution is coverage and capacity, not judgment.

TrustyGenius comes out of twenty years across energy trading, quantitative risk, and production software: Deutsche Bank, Merrill Lynch, Citigroup, TrailStone, and four years building an ETRM consultancy's platform practice, including its ROSE analytics platform.

That work is the same shape as this one. A desk has data in several systems, a team with more questions than hours, and a gap between what the quants can prove and what the traders can act on. Closing that gap is the job, whether it arrives as a platform, an agent built around one workflow, or a consultant inside your project for a few weeks.

Every engagement starts with the concrete questions: what data is available, what instruments matter, which risk controls are not negotiable, who reviews the output, and what would make this worth having inside the first few weeks.

Sometimes the answer is a managed platform deployment. Sometimes it is one agent built around a single workflow. Sometimes it is consulting on an ETRM project, with the modelling environment alongside. And sometimes the answer is that the fit is not there yet, which is worth knowing on the first call rather than the fourth.