CIFER
Business intelligence for risk, shrink and crime. CIFER reads an entire enterprise dataset and returns trend, cause and forecast, with a live AI analyst sitting on top of all of it. Powered by Selina.ai.
Most organizations already have the data. Almost none can interrogate it.
Case management systems accumulate enormous, well-structured records and then hand back static reports. The reports answer the questions somebody anticipated at implementation time. The questions that actually matter are the ones nobody built a report for, and they usually only become obvious after the loss has already been recognized.
The gap is not storage and it is not dashboards. It is that interrogating the record requires either a query language, an analyst with the time to write it, or a schema change. All three are slow enough that the window in which the answer would have been useful closes before the answer arrives.
CIFER puts inference and live analysis directly over the full record. Trend estimation runs continuously rather than on request. Exceptions surface against a learned baseline rather than a fixed threshold. And the dataset can be asked a question in plain language instead of queried in a syntax.
RISK CONTOURS
Exposure resolving out of the field. Illustrative.
DEVIATION VS CONTROL LIMIT
Bars are observed deviation, the dashed line is the current control limit. The limit moves with the baseline, so a quiet period tightens it and a volatile one widens it. Excursions escalate.
FORECAST POSTERIOR
01
Risk trend resolution
Surfaces where exposure is concentrating across locations, periods and categories before it registers as a loss on any report.
02
Shrink intelligence
Separates the signal of organized activity from ordinary operational variance, attributing movement to cause rather than to noise.
03
Crime pattern correlation
Correlates incident data across sites and time to expose coordination that is structurally invisible when each case is read alone.
04
Exception reporting
Probabilistic control limits replace static rules, so what reaches a human is what actually deviates rather than what merely crossed a fixed number.
05
Conversational analysis
Live AI over the entire dataset. Ask in language, receive structured analysis with its reasoning attached, not a filtered dashboard view.
06
Forecasting with intervals
Bayesian models project trend forward and state their own uncertainty, widening honestly when the evidence thins instead of guessing confidently.
07
Entity resolution
Records referring to the same person, location or event are unified across systems, turning a pile of cases into a coherent timeline.
08
Causal attribution
Distinguishes correlation from mechanism where the data supports it, and says plainly when it does not.
09
Narrative generation
Findings arrive as structured written analysis suitable for an investigator or an executive, not as a chart requiring interpretation.