Service 06 · AI Data Analytics & Forecasting

See it coming before your customers do

Your data already holds the early signs. So we build models that read them and tell your team in time to act.

Example record

Each warning, with its evidence

So your team can check a warning before acting on it.

Your team sets what counts as a warning and who receives it.

monitor · broadcast networkSample log

Error risk rising on a channel group
early signs in the stream metrics
Warning
Bitrate drift on an encoder
matches a known failure pattern
Alert
Which regions lost repeat buyers?
answered from the review data, sources linked
Answered
Last month’s forecast
within the agreed error band
On track
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A dashboard nobody opens is the usual result. So these get settled first.

Capabilities

So one team carries the work, data audit through the model in production.

01Data auditWhat you hold, how clean it is, and whether it can answer the question.

02Forecasting modelsTime-series and anomaly models trained on your own history.

03Questions in plain EnglishA conversational layer over your data, with the source of each answer.

04Topic and sentiment analysisLarge volumes of text, such as reviews or tickets, grouped by what they say.

05Data pipelinesIngestion and storage sized to your volume, with the retention you set.

06MonitoringForecasts checked against outcomes after launch.

Our published work, with the figures as the client cases state them.

Model

What we fix

What you decide

Next step

You learn whether your data can answer it and what that would take. That gives you a go or no-go before you fund a build.