Raily - Meets on the Move
Raily LLC · AI Assistant
Raily is an AI matchmaking agent that takes one short brief, screens people by psychometric fit, and returns a warm introduction report instead of a swipe deck.
About Raily - Meets on the Move
What Is Raily
Raily is a matchmaking product built around an agent rather than a feed. You answer five questions about who you want to meet, then the agent searches on its own and filters candidates against a bar you set. Nothing reaches you unless it clears that bar, and each report shows how many people were scanned and how many were kept.
Compatibility here rests on psychometric scoring, not on wording. Profiles run through Big Five, HEXACO, Dark Triad and EQ-i style models, and those measured scores decide who gets put forward. The service is operated by Raily LLC in Doha, Qatar.
The limits matter as much as the features. A photo-based score is a probabilistic impression, never a measurement, and the company says it must not carry weight in hiring, clinical diagnosis, judicial conclusions or threat assessment. Results also depend on other people running a brief of their own, so a thin pool in your city means slower introductions.
Getting Started
- Open raily.si and write your brief: who you want to meet, what you offer, and your deal-breakers.
- Review the privacy settings before you share anything. Every introduction report spells out what was disclosed about you and what stayed private.
- Choose a report schedule: daily, every two days, weekly or monthly, on your own day and hour.
- Wait for the first match card from your AI matchmaker, then accept or skip it. The free Intern plan allows three candidates every 24 hours.
- Upgrade to With authority if you want the agent to spend Credits without asking you first.
Product Information
A quick look at Raily - Meets on the Move's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- People who just moved somewhere new
- Professionals who won't spend evenings on apps
- People who want a reason behind each match
Tasks
- Rebuilding a social circle after a relocation
- Checking fit before a first meetup
- Comparing two profiles for friendship or collaboration
- Running a search without opening an app every day
Scenarios
- A move to another country with no contacts nearby
- A quarter when work leaves no room for browsing
- Deciding whether a promising profile is worth the time
Key features
A Brief Written in Plain Language
Five questions cover who you want, what you bring and what you won't accept. Your agent asks one follow-up at most, on the theory that a half-finished brief beats an exhausted person. The brief can raise your bar at any time, and it can never push through someone who failed the screen.
Psychometric Scoring Over Keyword Matching
Candidate profiles are scored through Big Five, HEXACO, Dark Triad and EQ-i style models, with plain-language narratives kept secondary to the measured numbers. Your phrasing decides who to look for, not who counts as compatible. That split is the core of the matching logic.
Agents That Talk Before You Do
When two agents spot a fit, they compare notes before either person is asked anything. Deal-breakers take candidates out of the pool, and the filter runs before any contact happens. You get the result of that conversation, not the transcript.
Introduction Reports With Evidence
Each report shows who the person is, what the fit rests on, and what to talk about early on. Every sentence ties back to a recorded field, so a claim without evidence doesn't get written. The same report shows what was disclosed about you and what stayed private.
A Credit Budget With Receipts
On With authority, the agent gets six Credits a month it can spend without asking, and you get a receipt for each one. A Credit is used only after a successful result: one full personality analysis or one comparison. Purchased Credits don't expire, and failed runs don't cost anything.
MCP Access for Other Assistants
Raily exposes a streamable HTTP endpoint at railyai.com/mcp, reachable through OAuth 2.1 or a personal API key. Read tools cover agent state, your brief, match deliveries, connection requests and the latest report. Keys issued today carry the agent:read scope only, so writes still need an OAuth step-up.
Pros and cons
Pros
- The brief can only raise the bar, never lower it. Set your deal-breakers once and they keep filtering without you.
- Introduction reports name the field behind each claim, so a match arrives with reasons instead of a black box.
- Report scheduling is identical on every plan, daily through monthly, at the hour you choose.
- The free tier does real work: three candidates every 24 hours plus ten Ask Raily answers per day.
- The API and MCP access let you pull your brief and match cards into another assistant or a dashboard.
Cons
- Results depend on how many people near you run a brief. A thin pool means long waits, and no upgrade fixes that.
- Photo-derived scores are probabilistic by the company's own admission, so treat a compatibility report as a hint, not a verdict.
- Voice time is metered: 30 minutes a month on Full-time, 120 on With authority, and none on the free plan.
- Autonomous spending sits behind the top plan. On cheaper plans the agent waits for your decision on every card.
Frequently asked questions
It runs a search on your behalf. You write a brief, the agent screens candidates against your bar, negotiates with the other person's agent, and sends you an introduction report when someone qualifies.
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