IT AI Index
Index Vendors › Harness FME · September 2026 Edition
Harness · 1 category · Named, not ranked

Harness FME

19Judge labels
0First choices
3Negative labels
11 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
8 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Harness FME was named 8 times in Feature flags, where LaunchDarkly led with 30%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In feature flags · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Harness FME for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Feature flagsDeveloper platform0%12 of 3112%8under 10 labels · led by LaunchDarkly at 30%

Movement

This is the first edition on this tier, so no move can be computed for Harness FME yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Harness FME across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini01001
Gemini 3.5 Flash01012
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX00000
MiniMax M2.500101

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct3 labelsNone
Paraphrase5 labelsNone
Comparative7 labelsNone
Budget-constrained0 labelsNone
Scale-constrained2 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative19 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“An end-to-end DevOps platform with built-in feature release safety.” Gemini 3.5 Flash · Feature flags · comparative prompt · alternative
“is also a strong choice” GPT-5.4 mini · Feature flags · paraphrase prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“making it less ideal if you are looking for a nimble, standalone feature management tool” Gemini 3.5 Flash · Feature flags · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as Harness FME, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Harness FME was named but was not.
ProductSame answerTook the first choice insteadHead to head
LaunchDarkly19 of 1914Not in the top three
Unleash16 of 190Not in the top three
Flagsmith15 of 191Not in the top three
Statsig13 of 190Not in the top three
GrowthBook10 of 191Not in the top three
ConfigCat6 of 191Not in the top three
PostHog5 of 191Not in the top three
DevCycle3 of 190Not in the top three
OpenFeature2 of 190Not in the top three
Optimizely Feature Experimentation2 of 190Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Harness FME. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 16 of the 19 answers that named Harness FME and are not a share of its labels.

Domains cited

harness.io12
guptadeepak.com8
launchdarkly.com6
configcat.com5
flagsmith.com5
growthbook.io5
guideflow.com5
kameleoon.com5
amplitude.com4
contentwave.net4

Fifty-nine of the fifty-nine domain citations in answers naming Harness FME came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Harness FME

What the judge wrote, as written, with how often. The vendor table decides that these count as Harness FME; a claim can dispute any of them.
Harness FME (Split) 1Harness FME (formerly Split.io) 1Harness Feature Management & Experimentation 1Harness Feature Management & Experimentation (FME) 1
Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Harness FME's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Harness FME, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at harness.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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