Eleven years of making machines think faster.

Where we started

Lumina was founded in 2015. Long before generative AI was a mainstream conversation, we were building specialized predictive engines and anomaly detection systems for high-stakes environments.

We spent our early years in the trenches of enterprise data. We learned the hard way that a model that performs well in a sandbox is practically useless if it can't survive the operational realities of a secure, regulated corporate network.

That grounding shaped our engineering culture. We build systems that assume failure, require auditability, and treat security as a physical constraint, not an afterthought.

The pivot to Aurora

As GPU inference scaled from single-server experiments to multi-rack fleets, we saw a gap that no serving engine was designed to fill. Operators were managing cold-start latency, site power budgets, and lease covenant obligations for hardware worth hundreds of millions of dollars — with tools built for simpler problems.

Generic autoscalers treated power as unlimited and warmth as a binary state. Open-source tools lacked the governance hooks that regulated industries required. And institutional lenders financing AI accelerators had no way to verify that the hardware they owned was being operated within covenant terms.

Our background in auditable, controlled systems — built across a decade of regulated enterprise work — turned out to be exactly the discipline these problems required. We didn't need to build a better model. We needed to build fleet control for the infrastructure running them.

That is Aurora: power-aware inference readiness for GPU fleets, and finance-grade asset intelligence for the hardware they lease or finance.

What we believe

Fleet economics are the real problem. Cold-start latency and site power caps are not separate infrastructure challenges — they are the same tension. A fleet that pre-warms aggressively hits SLOs but risks breaching watt limits. One that conserves power suffers latency spikes. Aurora Helm is built specifically to resolve that tradeoff, not paper over it.

Auditability belongs at the fleet layer. Accountability must be mechanical. Governance should be enforced by the runtime itself — not by procedure. Every scheduling decision Helm makes is logged in a hash-chained, cryptographically signed ledger. Every asset state transition Passport records is independently verifiable. That is not a feature — it is the foundation.

Power is a physical constraint, not a configuration option. The industry treats compute as a purely logical resource. We treat it as a physical one. Real infrastructure has thermal limits, breaker thresholds, and contractual watt caps. AI orchestration must respect the laws of physics.

Founders

Tampa, Florida

We are proudly headquartered in Tampa. It's a city that aligns with our ethos: focused, practical, and growing rapidly without the noise. Our engineering and operations are centered here, serving clients globally.