AI inference for classification and content analysis

Sometimes the useful output is a category, a score, or a decision about what happens next.

We are inviting early-access interest while we develop the platform.

Notes to Fig. 05

Use specialist or general models to explore ticket routing, document categories, content attributes, and other defined classification tasks. HIPS will express classifier benchmarks per 1,000 defined classifications so the workload behind the comparison stays clear.

Evaluate errors as well as correct results. A classification that helps route a support ticket has different consequences from one that triggers an irreversible action.

Classify a backlog as one batch

A backlog of tickets, records, or content items rarely needs an answer within seconds. A batch job will take the whole set in one file and run it when capacity is free, inside the completion window you choose: 24 hours by default, up to 7 days.

Batch will cost 50% less than on-demand for the same model and unit. Lines that have not finished when the window closes come back as expired and are not charged.

AI inference for classification and content analysis

Sometimes the useful output is a category, a score, or a decision about what happens next.

Join early access for specialist models

We are inviting early-access interest while we develop the platform.

Notes to Fig. 05

Evaluate errors as well as correct results. A classification that helps route a support ticket has different consequences from one that triggers an irreversible action.

Classify a backlog as one batch

Batch will cost 50% less than on-demand for the same model and unit. Lines that have not finished when the window closes come back as expired and are not charged.