DeepTrain
We build long horizon agents for the end-to-end ownership of hard-to-answer problems that still require dedicating full teams or external consultants to.
The problems entire teams solve.
There are important problems that still require intense human effort because they cross multiple functions, are distributed across enormous amounts of data from multiple sources, and contain more possibilities than humans can feasibly explore.
For example, scheduling requires juggling changing variables under pre-defined constraints with speed. It is mission-critical to solve hiccups in production optimally and quickly.
We work with your team to define scope, prepare the relevant data, and deploy the systems that conduct analysis. Our agents and operators work together to validate lines of reasoning, test their findings, and continuously improve with each experiment.
DeepTrain delivers finished results. Examples of a final output may be a: set of decisions, a completed report, or an operations schedule verified against the constraints. All of our results come with the evidence behind them and a clear account of how we arrived there.
How we approach
a problem.
After speaking with the people responsible for the problem, we agree on the criteria for success. Then we build and run the system needed to work through it, with the checks and balances necessary to find the correct solution.
Understand
Define the problem. Identify the data, constraints, and tools necessary. Agree on success criteria.
Build
Build the system. Plug in all relevant data. Connect custom tooling and verification mechanism.
Run
Failed agent attempts guide future experiments. Accuracy is maintained through externalized proofing.
Review
Return a final result verified by deterministic systems and human review, ready to use.