Keeper
- Company typePrivate
- Founded2022
- HeadquartersNew York, United States
- Headcount11–50
- GTM typeB2C
- OfferingServices
Keeper firmographics
Firmographics- Name
- Keeper
- Legal name
- Keeper Dating Inc.
- Website
- https://keeper.ai
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Where Keeper is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Keeper business model
Business model- GTM type
- B2C
- Offering type
- Services
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations
Revenue model
- Marriage Bounty - Match Fees: Men pay a fee for each match they receive through the Marriage Bounty plan. The fee decreases by 20% for each subsequent match, eventually reaching zero once half the total bounty has been deducted through per-match fees.
- Marriage Bounty - Success Fee: A one-time success fee is charged when a relationship milestone is reached (marriage, having a child together, co-habitation for 1+ year, adoption of partner's child, or 18 months together). Per-match fees already paid are deducted from this final amount.
- Marriage Bounty Total Bounty: The Marriage Bounty plan can total up to $50,000 per user, representing the maximum potential revenue from a single customer over the course of their matchmaking journey. $5,000 per date fees are also referenced in some sources.
- AI Dating Coach Subscription: The AI Dating and Relationship Coach is free for initial messages, then costs $9.99/month or $69/year for continued access to relationship coaching powered by evolutionary psychology and relationship science.
- Photo Testing Credits: Users can purchase credits to test their dating photos with anonymous raters. Credits can also be earned for free by rating other people's photos.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free membership for women; eligible to be matched with paying members |
| Outcome Based/ Performance | Pay-as-you-go | Marriage Bounty plan with per-match fees plus success fee upon relationship milestones |
| Subscription | Monthly | AI Dating Coach: free for initial messages, then subscription |
| Unit Pricing | Pay-as-you-go | Photo Testing credits (earned free by rating or purchased) |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
Keeper product offering
Product offeringCore offering
Keeper operates an AI-assisted matchmaking platform that uses proprietary compatibility embeddings, vision models, and psychometric analysis (14 questionnaire modules across 100+ traits) combined with human matchmaker vetting to deliver one curated long-term match at a time. The platform targets adults seeking marriage and serious long-term relationships, with women joining free, men paying per match plus a one-time success fee upon reaching relationship milestones under the Marriage Bounty plan.
Product overview
Keeper operates as a unified AI-assisted matchmaking platform offering core matchmaking services augmented by supplementary tools. The primary offering is the Keeper matchmaking platform combining AI analysis (compatibility embeddings, vision models, psychometrics) with human matchmaker review to deliver one curated match at a time for users seeking marriage. The platform is complemented by Photo Testing (anonymous photo rating service), the AI Dating Coach (relationship guidance tool), the Standards Calculator (demographic analysis tool), and Keeper Labs (research collaboration program). Pricing is structured around the Marriage Bounty success-based model with a free tier available. The platform is available in the United States, Canada, and United Kingdom.
Differentiator
Problem solved
Functional benefit
Brands
- Keeper Labs: Research collaboration program providing vetted academic and industry researchers with access to de-identified match data and randomized in-product experiments under a privacy-first, IRB-friendly framework.
- Keeper AI Dating Coach
- Keeper Photo Testing
Products and services
- Keeper Matchmaking Platform Core AI-assisted matchmaking service combining proprietary compatibility embeddings, vision models, and psychometric analysis with human matchmaker vetting to deliver one curated long-term match at a time for adults seeking marriage. Women join free; men pay under the Marriage Bounty plan.
- Photo Testing Standalone anonymous photo rating service that gives users attractiveness scores (1-10) from their target demographic, with written feedback and rater normalization. Available to Keeper users and non-users; credits can be earned by rating others or purchased.
- AI Dating Coach AI-powered relationship coaching service offering personalized guidance based on evolutionary psychology and relationship science. Available 24/7, free for initial messages and $9.99/month or $69/year after.
- Standards Calculator Free demographic analysis tool that uses U.S. Census and CDC data to calculate the percentage of the population meeting a user's stated partner criteria, helping users calibrate expectations.
Quantifiable outcome
- 1 in 10 first dates lead to marriage (10%) vs 1 in 1,000 (0.1%) on leading dating apps
- +4 more outcomes
Companies that use Keeper
Customer profileNamed customers2 records
Segments3 records
Ideal customer profiles1 record
Keeper technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability11 records
Feature9 records
Keeper partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core and minor.
- Geoffrey Miller, PhD (Stanford)coreExpert in human mate choice, signaling theory, and evolutionary psychology. Bestselling author of 'The Mating Mind', 'Spent', and 'Mate'. Shapes Keeper's scientific framework for attraction and partner matching.
- Michal Kosinski, PhD (University of Cambridge)corePioneer in computational psychometrics and digital behavior prediction. Proved that digital footprints can accurately predict personality traits, preferences, and behaviors at scale. Guides Keeper's psychometric modeling and data-driven insights.
- Naman Gupta, PhD Student (Stanford)corePhD researcher in Stanford Management Science & Engineering. Specializes in dating market analysis, optimization, and algorithm design for two-sided matching. Leads internal studies on relationship formation predictors and optimizes Keeper's matching algorithms.
- Stanford UniversitycoreAcademic partnership through multiple researchers including Geoffrey Miller and Naman Gupta. Stanford logo appears on Keeper Labs page indicating formal research collaboration.
- University of CambridgecoreAcademic partnership through Michal Kosinski. Cambridge logo appears on Keeper Labs page indicating formal research collaboration.
- Keeper Labs Research PartnersminorVetted academic and industry researchers given access to de-identified match data and randomized in-product experiments under privacy-first IRB-friendly framework. Partners must protect data, use only for approved purposes, and avoid reidentification.
Scale indicators9 records
Recent moves6 records
Expansion highlights6 records
Keeper competitors and assessment
Company assessmentDirect peers
- Hinge: Owned by Match Group and marketed as 'designed to be deleted,' Hinge targets users seeking serious relationships. It competes directly with Keeper for the same long-term intent customer and overlaps on AI-driven match suggestions and outcome-oriented branding.
- Bumble: Publicly traded dating app with a women-message-first model and growing Bumble For Friends and Bizz verticals. Targets the same marriage-minded segment as Keeper and competes for share-of-wallet among young adults.
- Match.com: Founder of the online dating category and Match Group flagship, focused on users seeking serious relationships. Keeper's outcome-based pricing and AI vetting are positioned as a modernization of Match's premise-heavy subscription model.
- eHarmony: Pioneer of compatibility-based matching with a 29-dimension questionnaire and strong brand association with marriage. Keeper is essentially a tech-forward reimplementation of eHarmony's 'science-based compatibility' promise with added AI and human vetting.
- Tawkify: Human-led matchmaking service combining curated introductions with a tech platform, founded by prominent matchmakers. Competes head-on with Keeper's human-vetting layer and similar marriage-oriented pricing in the premium tier.
- Three Day Rule: Boutique matchmaking firm using a blend of human matchmakers and data-driven compatibility. Targets the same high-intent, pay-for-quality customer and competes on the same 'selective, intentional' positioning as Keeper.
- The League: Selective dating app focused on ambitious professionals, using curated admissions plus algorithm. Targets the same marriage-minded, high-quality-payer segment and operates a curated introduction model that parallels Keeper's vetting.
- Coffee Meets Bagel: Curated daily-match dating app targeting users serious about long-term relationships, with women-select model similar in spirit to Keeper's women-review-first flow. Now dating-focused SMB is mostly inactive as a competitor.
- Selective Search: Executive matchmaking firm serving high-net-worth clients seeking marriage. Comparable to Keeper's premium tier in offering vetted introductions and outcome-based engagement for serious daters.
Emerging players
- Iris Dating: AI-driven dating app using attraction-prediction models trained on user preference data. Directly adjacent to Keeper on the AI-physiognomy dimension but lacks Keeper's human-vetting and outcome-based pricing model.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Keeper social profiles
Digital presenceKeeper compliance and trust
Trust signalCompliance3 records
Keeper financial estimates
Financial estimateRevenue estimate
Valuation estimate
Keeper leadership team
Management profileNumber of profiles
Profiles1 record
Keeper funding detail
Funding detailFunding overview
Funding rounds1 record
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Keeper M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Keeper
What does Keeper do?
Keeper operates an AI-assisted matchmaking platform that uses proprietary compatibility embeddings, vision models, and psychometric analysis (14 questionnaire modules across 100+ traits) combined with human matchmaker vetting to deliver one curated long-term match at a time. The platform targets adults seeking marriage and serious long-term relationships, with women joining free, men paying per match plus a one-time success fee upon reaching relationship milestones under the Marriage Bounty plan.
Is Keeper a public or private company?
Keeper is a private company. It is classified as venture growth investor backed and is currently operating.
When was Keeper founded?
Keeper was founded in 2022. It employs 11 to 50 people.
Where is Keeper based?
Keeper is headquartered in New York, United States, in the North America region.
How does Keeper make money?
Five revenue lines are on record. Marriage Bounty - Match Fees are the primary driver. The others are marriage Bounty - Success Fee, marriage Bounty Total Bounty, AI Dating Coach Subscription and photo Testing Credits.
Who are Keeper's main competitors?
Direct peers on record are Hinge, Bumble, Match.com, eHarmony, Tawkify, Three Day Rule, The League, Coffee Meets Bagel and Selective Search. Iris Dating is listed as an emerging player.
Does Keeper have an API?
Yes. Keeper offers an Agent API that enables external AI agents (such as OpenClaw) to help users complete and manage their Keeper profile. The API supports OAuth flows for authentication. Authorized interfaces include Keeper APIs, SDKs, webhooks, OAuth authorization flows, API keys, and machine-readable specifications. Users can connect agents via Settings > Connected Agents or approve OAuth flows for local agents. Agents can update profile details, answer questionnaire modules, run photo tests, check pool stats, and manage preferences. Developer documentation is at md.keeper.ai/api/llms.txt.