About
We encountered the same obstacle often at autotradelab when developing and refining trading strategies:
It is impossible to do (hyperparameter) optimizations at scale in a simple, economical, and efficient manner.
You can only go so far with local scripts.
Hyperscaler services are costly and difficult to set up.
It takes a lot of duct tape, slow iteration cycles, and infrastructure to put something together on a less expensive cloud provider.
We required a technology that could do cost-effective, large-scale optimizations with no human participation and an appropriate dashboard.
We built it because it didn't already exist.
If you are building algorithms, ML models, trading strategies, AI/LLM agents, or anything that can be bundled into a Docker container and optimized:
HyperOptimizer is for you.
Start in minutes while keeping your IP completely confidential.
Sign up for the beta today!