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HR AI Index
Index › Products › CyberGrants › Alternatives · October 2026 Edition
One category · what the models named instead

Alternatives to CyberGrants, as AI models named them

In the October 2026 Edition, 245 of the 252 answers collected in the one category where CyberGrants holds a standing named it neither as a first choice nor as an alternative. These are the products those answers put first, category by category and buyer by buyer. The output is the models' output.

Named instead, most often
First choices in the 245 answers that did not name CyberGrants, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Employee giving and volunteering

Onboarding and employee experience. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when CyberGrants is not its first choice or an alternative in it.
Small businessCyberGrants holds 3 labels here, under the 10-label cutoff, so it is unranked.

Eighty-four of the eighty-four answers did not name CyberGrants; it was the first choice in zero. The first choices in those eighty-four answers, twenty-one products in all, the eight most named:

Selflessly32 of 84
Millie20 of 84
POINT3 of 84
EcoVadis2 of 84
Bonterra1 of 84
13 more in the record.The full small business standing →
Mid-marketCyberGrants is #10 of 10 here at 0% of first choices, 13 labels.

Eighty-two of the eighty-four answers did not name CyberGrants; it was the first choice in zero. The first choices in those eighty-two answers, twenty-two products in all, the eight most named:

14 more in the record.The full mid-market standing →
EnterpriseCyberGrants is #10 of 11 here at 0% of first choices, 12 labels.

Seventy-nine of the eighty-four answers did not name CyberGrants; it was the first choice in zero. The first choices in those seventy-nine answers, ten products in all, the eight most named:

2 more in the record.The full enterprise standing →

How to read this

A category is asked six ways of each of fourteen models on behalf of each buyer segment, so a segment is eighty-four answers. An answer belongs on this page when the judge labeled CyberGrants neither its first choice nor an alternative in it; the products listed are the first choices those answers made, counted once per answer. An answer that named nothing first, or named CyberGrants only in passing, is in the denominator and adds to no product. The counts are not the category standing, which is on the category page with its share and rank; they are the same record read from CyberGrants's side.

Every answer and every label behind these figures is in the record, sent on request. The output is the models' output; nothing here is a recommendation by the index, and a product named instead of CyberGrants was named by a model, not endorsed by anyone.