SINGULAR4 · Software and Data Intelligence
Data is not abstract: it starts in an AKRIBIS instrument. The ecosystem measures it, calibrates it with traceability and transmits it; SINGULAR4 turns it into foresight. A model is only as good as its data.
The physical origin
It all starts in an AKRIBIS instrument.
A sensor, a calibrated instrument, a cold-chain probe. The measurement of the physical world: the raw material of everything else.
InstrumentationAKURALABAKUTEMP
Telemetry
Every unit emits data. On their own, they are noise.
The ecosystem's scattered telemetry: AKIoT transmits, the instruments measure, the operation runs. Unprocessed, it is only noise.
AKIoTsensorsoperations
Signal · reliable data
A model is only as good as its data.
SINGULAR4 extracts the signal from the noise. And it is reliable because AKRIMET calibrates the data with traceability to the SI, under OAA Level I Recognition (RE-016). That is the ecosystem's advantage.
AKRIMETOAA RE-016traceability
Anomaly
Anomaly detection.
A deviation crosses the learned threshold. Classification and early warning, live on the equipment's operation.
Prediction
Predictive models.
The model projects forward: it anticipates the equipment's failure before it happens.
Decision → equipment
The decision returns to the physical world.
The failure is prevented in time: AKZOTEC steps in and the instrument keeps measuring. The circle closes. SINGULAR4 crowns the value chain; it does not float beside it.
AKZOTECthe circle closes
What it does
Everything starts from the ecosystem's operating data. SINGULAR4 turns it into foresight.
Dashboards and models on operating data: from scattered telemetry to one actionable reading.
Predictive maintenance: the model anticipates the failure before it happens, from sensor and automation data.
Classification and early warning of deviations in operation, deployed as a multi-user cloud service.
Science-based software end to end: collection, analysis and reproducible reporting, on premises or in the cloud.
Why the model holds
SINGULAR4 does not start from someone else's data: the ecosystem measures, calibrates with traceability and transmits the data end to end. That chain is what makes the models reliable.
Measures
Equipment and instruments that capture the data at source.
Calibrates
Metrological traceability to the SI within the recognised scope.
Transmits
Telemetry with traceability up to the model.
Real work
Cases from the ecosystem and the life sciences, presented in the abstract.
Failure prediction and classification models, deployed as a multi-user application on containers.
Collection and analysis of clinical trial data, with reproducible and traceable reporting.
BI dashboards that consolidate scattered metrics into a single source of truth for quick decisions.
Bespoke models on domain data that turn raw data into an operational advantage.
How it works
Science-based tools, versioned and deployed in containers — in the cloud or on premises — so that every result is traceable and repeatable.
How it connects with the ecosystem
Every unit contributes its data; SINGULAR4 turns it into foresight. It is the last link of the cycle.
The telemetry AKIoT collects is the raw material of its models.
AKRIMET's traceability and thermal mapping give the data its metrological context.
AKZOTEC's automation and continuous monitoring (CMS) data feed anomaly detection.
In life sciences, SOLFARMA provides the regulatory framework that validation rests on.
Instruments to quote
No instruments yet. An enquiry can be sent anyway: a specialist answers.
