Products are the surface. Underneath Lume and Kestrel sits Solantir's actual technical asset — three infrastructure engines, each responsible for a distinct part of the process of turning raw data into usable intelligence.
Solantir's pattern recognition and prediction engine — domain-agnostic by design. Omnis isn't built to understand one specific type of data. It's built to find patterns, detect anomalies, and generate forward-looking insight across whatever structured data it's given, regardless of the industry that data comes from.
That domain-agnosticism is what lets Omnis sit underneath Kestrel today and, in principle, underneath any future product that needs the same core capability applied to a different kind of data entirely.
Every dot below is a record. Omnis doesn't care what the records represent — suppliers, transactions, sensor readings — only how they relate. Drag your cursor through it.
Detected risk
Mid-term dip
The predictive and pattern recognition model that specifically powers Lume. LumeX takes a student's academic data and generates forward-looking insight about where their performance is heading — functioning as the analytical core underneath every forecast Lume shows.
Unlike Omnis, LumeX is purpose-built for one domain: academic performance data. That specialisation is what lets it identify a specific, individual risk — not a generic study tip — and hand it straight to Lume's study-plan generator.
Solantir's data construction and orchestration engine — the layer responsible for structuring and organising raw data before it can be meaningfully analysed by Omnis or any downstream system.
Spector is the newest and least developed of the three engines, still in active research, and is intended to eventually power a future product called Sable — built to give order to high-entropy data no matter how complex, vast, or fragmented the source.
Structure from entropy
Disordered, disconnected fields resolving into a clean, aligned structure — the same operation Spector performs on raw enterprise data, just visualised.
Omnis →
Kestrel
Supply chain & operational intelligence
LumeX →
Lume
Academic performance forecasting
Spector →
Sable (future)
Order from high-entropy data, at scale
If your organisation has a data problem that looks like Omnis's domain — pattern recognition and prediction across structured data — we want to hear about it.