Lume and Kestrel are not wrappers around generic AI. Each is built directly on top of a Solantir engine — intelligence architecture first, interface second.
LumeX forecasts your trajectory from your actual mark history — not a generic average, your own data projected forward.
Lume identifies the single subject or module putting your standing at the most risk right now — not an abstract weakness.
Specific, not generic — the concrete action that addresses the risk Lume just identified.
Alongside the prediction, Lume generates a personalised study plan — a calendar-scheduled recovery plan built around the student's own study style and method, translating the insight into a concrete, day-to-day plan of action.
Preparing for matric, where every term compounds toward the final result.
Tracking standing across modules where risk can hide until results day.
For whom maintaining academic performance is a requirement for keeping their funding.
Kestrel
An intelligence platform for organisations that need to turn raw operational data into structured, decision-grade intelligence — specialised toward supply chain intelligence, flexible enough for any operation where errors in data carry real consequences.
Kestrel runs on Omnis. It is explicitly not a reporting tool and not a business intelligence platform in the conventional sense — it is infrastructure built for organisations that want their data to actively think alongside them.
Contact Solantir to Engage →Access by engagement only. No self-serve pricing.
Built for
Procurement officers
Need visibility into supplier risk before it becomes a supply failure.
Analysts
Need to detect patterns across large, complex, multi-source datasets.
Executives
Need decision support grounded in their own operational reality — not a generic dashboard.
Whatever structured data your organisation produces, Kestrel passes it through six layers before anything is surfaced. Hover a stage for detail.
01
Clean
Strip noise, fix inconsistencies, resolve missing or malformed values.
02
Normalise
Standardise formats and units across every connected data source.
03
Derive
Calculate the new metrics your organisation actually cares about.
04
Detect
Surface anomalies — the records that don't fit the established pattern.
05
Map
Trace the relationships between related data points and entities.
06
Rank
Surface ranked, prioritised intelligence insights — not a raw list.
Organisations configure their own Kestrel environment inside the Workshop — a visual, no-code canvas where they define what their data looks like, what calculations matter to their operation, and what kind of intelligence they need out of it.
Lume and Kestrel exist because Omnis, LumeX, and Spector produced something worth shipping. More products are in development.