Press/Technology
The technology
AI Is Changing Hiring. Professional Identity Needs to Change Too.
A plain-language guide to how kleoverse works, written for journalists rather than engineers. Each feature carries its current status.
The problem
One person, many partial copies.
A person’s professional information is spread across systems that were never designed to work together. Each holds part of the story and none of them belongs to the person.
As people start asking AI assistants to find and describe professionals, this matters more. An AI system working from fragmented, outdated or self-reported information either has an incomplete picture or starts making assumptions.
The approach
One identity, controlled by the person, shown in context.
Master Profile
The person’s complete professional record in one place: experience, projects, education, capabilities and achievements, with the evidence behind them. It is private by default. Imported information and suggestions are reviewed before they become part of the profile.
Everything else is a view of this record. The person keeps one source of truth instead of maintaining many copies.
Adaptive Profiles
The idea Jan Valkonen started at ForteAI: a book of your professional life. The whole book belongs to you, and different readers see the chapters that matter to them. The underlying person stays the same while the context changes.
Shared Rooms
A focused view prepared for a particular recipient, such as an employer, a client or an investor. The person reviews what the recipient will see, along with any expiry or access settings, before sharing the link.
Unpublishing stops future access through kleoverse. It cannot remove copies someone has already saved, and kleoverse says so plainly.
Evidence and verification
kleoverse places professional claims beside the work and sources that support them, and keeps the source and date visible. It separates kinds of support rather than collapsing them into one number:
Evidence is not the same as verification. Most claims are supported by sources rather than independently verified, and the profile says which is which. kleoverse does not present people as scores.
Machine-readable profiles
Each public profile is published as server-rendered HTML with structured data, and as a Markdown version of the same approved record at the same address with .md added. AI systems are asked to use only published fields, keep evidence labels and report “not stated” instead of inferring.
Private sources, conversations and internal records are never part of these public views.
AI agents
Three separate things, at different stages:
Ask about a profile. Visitors can question a public profile and get answers drawn only from approved public information. Private beta
Discovery for companies. Read-only tools let an authorised company search profiles that are public, discoverable and allowed to be indexed. No outreach, private-source access, ranking score or bulk export. Pilot
An agent for the person. Help understanding an opportunity and preparing a tailored resume or cover letter from approved entries, flagging gaps instead of inventing qualifications. Coming soon
At a glance
Feature status
Correct as of October 2026.
| Feature | Status | Who can use it |
|---|---|---|
| Master Profile and Adaptive Profiles | Private beta | Invited beta users |
| Evidence beside claims | Private beta | Invited beta users |
| Privacy controls and Shared Rooms | Private beta | Invited beta users |
| Ask about a public profile | Private beta | Visitors to beta users’ public profiles |
| HTML and Markdown public profiles | Supported today | Anyone, for published profiles |
| Company discovery tools | Pilot | Authorised pilot companies |
| Agent for resumes and cover letters | Coming soon | Not yet available |
For AI agents →Evidence vs verification →See an example profile →