IPOS's trade mark system recommends classes from images or text

Singapore's Auditor-General observed that IPOS's trade mark application system recommends classes from uploaded images or text and calculates fees, cutting fee errors and refiling.

  • 1 a person

    The auditor observed that applicants face fewer fee errors and less costly refiling, and it gives no figures.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed

An independent audit report supports the benefit.

The system’s part
Not isolated. The auditor describes the benefits without a measurement or a comparison with applications filed before the system. The report does not say that the recommender uses machine learning. Recommendations from images or free text usually require trained classifiers, but the report does not confirm that this system uses them.
Limits
Not yet checked.
Costs and harms
Not yet checked.
Later
Not yet checked.

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Benefit type
Improved Task Accuracy
System
IPOS trade mark application system (recommends trade mark classes from uploaded images or text descriptions)
Made by
Intellectual Property Office of Singapore (IPOS) (vendor not named)
Used by
Intellectual Property Office of Singapore (IPOS)
Where
Singapore
Stage
In routine use
Date
, when the source was published
Kind
Program
Broad benefit
Processing Information, Identifying Objects, Actions, and Events
Collections
Scrutiny and findings
Last revised
31 October 2026

Sources

  1. Audit report, by authors with no tie to the system.

    Auditor-General's Office, Singapore. Report of the Auditor-General for the Financial Year 2025/26, 2 July 2026. Overview, Selective Audits.

    IPOS has implemented a trade mark application system that automatically recommends trade mark classes based on uploaded images or text descriptions, and calculates the fees based on the selected classes. This streamlines submission of applications, minimises fee calculation errors, and reduces costly refiling from incorrect class selection.

Details

AI system

Workflow

Applicants upload images or text descriptions of their marks. The system recommends trade mark classes and calculates the fees for the classes selected.

Follow-up

Conditions for replication

Applicants select their classes in the system, since the fees follow from that selection. The recommended classes are correct, so that applications need no refiling.

Entry details

Sector

Intellectual property administration.

Purpose

IPOS built its trade mark application system to recommend trade mark classes from uploaded images or text descriptions and to calculate the fees.

Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). IPOS's trade mark system recommends classes from images or text (AIBD-0909). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0909.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)

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