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AI infrastructure

Subsets

Subsets is the leading lifecycle growth platform for consumer subscription teams. We are building the AI decisioning layer that unifies and powers the existing growth stack, enabling teams to automate and scale lifecycle experimentation, orchestrate personalized user journeys, and measure impact across retention, engagement, and LTV without engineering support. Trusted by consumer subscription businesses like The Atlantic, NBCUniversal, Daily Mail, Matas Group, and Hearst. Subsets has raised $6.

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #2589

Subsets is the leading lifecycle growth platform for consumer subscription teams. We are building the AI decisioning layer that unifies and powers the existing growth stack, enabling teams to automate and scale lifecycle experimentation, orchestrate personalized user journeys, and measure impact across retention, engagement, and LTV without engineering support. Trusted by consumer subscription businesses like The Atlantic, NBCUniversal, Daily Mail, Matas Group, and Hearst. Subsets has raised $6.

source
generated read
High Signal interpretation

Subsets is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
AI decisioning layerconsumer subscription businessesconsumer subscription teams
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to Subsets

AI infrastructure · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Verne Robotics

match 56

We build AI models for controlling robot arms, enabling them to learn new skills in just hours. Our robots help businesses cut costs by automating back-of-house tasks with an innovative pay-by-the-hour business model. Our customers include a biotech unicorn, a leading biotech non-profit, and a direct to consumer apparel brand.

shared extracted concept terms: consumer, businesse; shared product terms: lead, consumer, enabl, businesse; same category: AI infrastructure; shared affiliation: Y Combinator

Konduit

match 55

AI-native partnership layer for businesses to form, trust, and scale relationships - autonomously and without limits

shared extracted concept terms: businesse, layer; shared product terms: layer, businesse, trust, scale; same category: AI infrastructure

Sleek

match 50

Sleek builds AI agents that automate important eCommerce flows for online shoppers. We work with consumer businesses to power these experiences across mobile and desktop via the browser.

shared extracted concept terms: consumer, businesse; shared product terms: automate, consumer, businesse; shared product theme: workflow automation; shared affiliation: Y Combinator

Findly

match 48

Findly.ai is the co-pilot for Business Intelligence that revolutionizes how businesses understand and interact with their data. By creating an engaging chat environment, it empowers decision-makers to gain insights, request reports, and generate visualizations based on their company's metrics. This seamless interaction is made possible by integrating a metric layer that comprehends all your company's metrics. The chat-based exploration simplifies complex data analysis, allowing users to generate

shared extracted concept terms: businesse, layer; shared product terms: businesse, decision, layer; same category: AI infrastructure; shared affiliation: Y Combinator

Bluejay

match 46

Bluejay’s mission is to engineer trust into every AI interaction, becoming the trust layer between businesses and their customers.

shared extracted concept terms: businesse; shared product terms: engineer, trust, layer, businesse; same category: AI infrastructure; shared affiliation: Y Combinator

FundUp

match 44

FundUp provides cash advances to subscription businesses so they can accelerate their revenue growth.

shared extracted concept terms: subscription, businesse; shared product terms: subscription, businesse, growth