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Kalonesis
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About

Evidence for how people actually grow

Kalonesis is an independent startup, currently in stealth, building capture software and a cloud platform for the moments where development happens inside an organisation.

01

Mission

To help every person access learning that understands their context, adapts to their needs, and improves throughout life.

02

What we are building

Kalonesis Harvest: capture software for the moments where people actually develop at work, connected to a cloud analysis platform that turns them into an evidence-based record. We are building it in the order that makes it usable — the capture and the record first, the things that read them afterwards.

03

The team

Kalonesis is in stealth, so we are not naming the people behind it yet. That is not the same as there being nobody: there is a founding team, and these are its two roles.

  • CEO

    Chief Executive Officer

    Name withheld · stealth

    Training and skills matching

    Background

    Works in higher technical education (ITS) — the post-diploma track designed together with employers — on programmes in AI, software development and cybersecurity, built to close the gap between what a course teaches and what a job actually needs. A jurist by background, with experience in local government.

    In Kalonesis

    The side of the problem Kalonesis exists to solve: how people actually learn at work, and how what someone can do is matched to what a role needs. It is the question the Learning Twin answers for one person, and the one the 2027–2028 platform is meant to answer between people and organisations. Seen by those who prepare people for a job it is the same gap — what a course certifies, against what the job then asks for — and it is why the record starts from what someone demonstrates rather than from what they attended.

    Competences

    • Training
    • Skills matching
    • Higher technical education (ITS)
    • Go-to-market
    • Institutional relations

    Questions on this side

    • Which moments to declare, and in what order
    • How the record maps onto roles and the competences they require
    • Where matching between people and organisations is heading

    Where it shows in the product

  • CTO

    Chief Technology Officer

    Name withheld · stealth

    AI and cloud web applications

    Background

    A technology entrepreneur and software architect, working in applied AI and agentic AI. As the founder of a software company, has taken complex digital products and infrastructure into production. Works on how autonomous AI systems should be governed, including open-source tooling for overseeing AI agents.

    In Kalonesis

    The two halves of what Kalonesis builds: the capture software, running on devices an organisation already owns and inside the meeting tools it already pays for, and the cloud analysis platform that turns what it captures into evidence — with the confidence of each conclusion stated beside it. Governing AI agents is not a side interest for this product: every conclusion it draws has to be traceable, reviewable and stoppable by a person.

    Competences

    • AI
    • Agentic workflows
    • Cloud
    • Web applications
    • Architecture and integrations
    • Security and governance
    • Enterprise delivery

    Questions on this side

    • Where the data lives, and what on-premise could look like
    • How OAuth scopes, revocation and deletion actually work
    • How the analysis reaches a conclusion, and how confident it is

    Where it shows in the product

04

What we believe

01

The record should not depend on anyone remembering

Every development system that needs people to fill something in decays the week they get busy. A record built from moments that already happen does not.

02

Development starts before employment does

The first real evidence about a person is generated in the selection interview, and almost every organisation throws it away.

03

Software that records people earns trust or it earns nothing

What is captured, who sees it and where it stops belong on the website, in public, before anyone asks. A product that cannot survive that page should not be built.

04

Evidence beats assessment

What someone demonstrated in a real moment tells you more than what they reported about themselves in a form.

Illustrative platform view — Kalonesis HarvestProduct diagram, left to right. On the left, a list of declared moments — Selection interview, Meeting, Tutoring, Seminar — converging on Harvest, the capture software. The unit sends what it captures to the cloud analysis platform, out of which comes the Learning Twin: the evidence of how a person is developing. Below the platform, a “Person” node joined by a dashed path marks the human review that precedes any decision. A dashed perimeter encloses everything and carries the two conditions: nothing is captured that has not been authorised, and everyone present is told.Nothing without authorisation · everyone present is toldDeclared momentsSelection interviewMeetingTutoringSeminarHarvestCapture softwareCloud platformAnalysisPersonReviewLearning TwinEvidence

Start from the moments you would want captured.