Engineering practice
HyperPG joins your project and does the integration work itself, bringing ecosystem technology into real systems, not slide decks.
The practice
HyperPG builds within the HyperCycle ecosystem. We built HMS, and our engineers have worked deep in the systems that make HyperCycle nodes run, close to the architecture, hands in the code. That experience now runs as a forward-deployed engineering practice: we join your project and do the integration work ourselves, instead of handing over a diagram and a recommendation.
The work
We take HyperCycle nodes and bring them into a product you've already built: one with its own architecture, its own team, its own stack of AI providers, databases, and services. We wire the nodes into place, connect the providers and data sources the system needs, synchronize the moving parts, and write the supporting code on both sides until the integration actually runs. We work at the product layer, deciding what the system should do for the people using it, and at the infrastructure layer, making those decisions real.
The invitation
If you're building an AI product, an agentic system, or anything that has to coordinate several providers, models, or datasets, tell us what you're building. We'll look at where HyperCycle fits, what integrating it would take, and whether your project is a match, starting with a conversation, not a commitment.
Where HyperCycle fits
Start
Tell us about your product and where you think HyperCycle might help. If there's a fit, we'll set up a call to dig into the details.
Get in touch
We're sharing this page directly for now. Reply to whoever sent it your way, and we'll pick up the conversation from there.
A contact form is on the way as this project develops.