An invention by Jean-Michel Cambot

The serendipitymachine.

It does not merely search for what you ask. It reveals what you would never have thought to look for.

One intuition · four inventions

Understand. Anticipate.
Act. Discover.

For more than three decades, one question has run through every generation of Objects: how can machine power be brought closer to human intuition?

01 · BUSINESS OBJECTS · THE ORIGIN

Giving dataa business language.

Business Objects did more than simplify reporting. It popularized an architecture that became one of the foundations of modern Business Intelligence: the Semantic Layer.

Between the technical complexity of databases and the people who needed to decide, the Semantic Layer created a Universe. Tables, joins and SQL queries became customers, products, revenue or margin — understandable, governed and reusable objects.

This quiet revolution brought business users closer to machines and data. It helped establish Business Intelligence as an enduring category, with the semantic layer still serving as a reference architecture today.

SEMANTIC LAYER × GENERATIVE AI

With generative AI, it is more relevant than ever. A model can produce language; to act inside an enterprise, it must also understand business objects, authoritative sources, access rights and decision rules. The Semantic Layer provides this governed context — and with it the traceability, accountability and trust required to turn an impressive model into genuinely operational intelligence.

DATATABLESJOINSSQL
SEMANTICLAYERUNIVERSE
BUSINESSCUSTOMERPRODUCTMARGIN

Complexity remains below. Meaning becomes accessible above.

02 · PREDICTIVE OBJECTS · EMBEDDED INTELLIGENCE

When every machinecan understand itself.

With Predictive Objects, intelligence leaves the central system alone and becomes embedded in objects, as close as possible to the data, context and decision.

A machine detects that it is drifting, explains the signals announcing degradation and estimates the risk of failure. It sends that risk to a centralized intelligence, which recommends the action that can prevent the breakdown.

The central system learns from the event, improves and ‘recompiles’ the model, then deploys it to every machine of the same type. Intelligence becomes ubiquitous: what one machine learns benefits all the others.

What one machine learns becomes the experience of them all.
01
DRIFT

The machine detects a change in condition.

02
EXPLANATION

It identifies the signals announcing failure.

03
PREDICTION

It estimates the risk and sends it upstream.

04
RECOMMENDATION

Preventive action returns to the operator.

05
UBIQUITY

The improved model is embedded across the fleet.

03 · LYTN OBJECTS · PROACTIVE NETWORK INTELLIGENCE · PATENTED

Predict.Then act.

Lytn Objects turns prediction into automatic device adaptation. Infrastructure no longer merely observes demand: it acts before that demand materializes.

The machine learns usage behavior, anticipates bandwidth demand, expected quality and energy needs, then compares that future demand with the resources that will actually be available.

If a videoconference is predicted within the hour and edge capacity is likely to be insufficient, the SD-WAN can automatically activate its 5G card before any degradation occurs. Understanding made data accessible. Anticipating revealed the future. Acting now allows the system to adapt by itself.

CO-INVENTORSJean-Michel Cambot × Étienne Coulon
SD-WAN · EDGE DEVICEONLINE
T−60USAGE PREDICTED

A videoconference is expected within the hour.

T−45CAPACITY COMPARED

Predicted edge capacity will not cover demand.

T−30AUTOMATIC ACTION

The device activates 5G connectivity in the SD-WAN.

T 00QUALITY PRESERVED

The resource is available before usage begins.

04 · QUANTUM OBJECTS

After understanding, anticipating and acting: discover what no one had thought to search for.

04

SERENDIPITY MACHINE · NOW

Quantum Objects

Discover

Explore distant fragments, provoke unexpected encounters and reveal what deserves to become action.

The paradigm shift

Serendipity
is not randomness.

It is an unexpected, explainable encounter fertile enough to provoke action. Quantum Objects seeks that rare tension between distance, justification and possible relevance.

“A machine that keeps thinking when you are not consulting it.”

The living cycle

Six movements.One field of possibilities.

01

Capture

Notes, links, documents, intuitions: every fragment becomes an Object with its origin and reason for being.

02

Understand

The machine distinguishes ideas, tensions, contexts and what genuinely matters to you.

03

Relate

Constellations and Entanglements appear between objects that nothing had yet brought together.

04

Explore

In your absence, it follows a few paths, tests their distance and seeks their potential.

05

Reveal

Up to three Quantum Events emerge: a connection, a revived idea, a concrete experiment.

06

Learn

Dismiss, keep, explore or experiment: every Collapse refines the next field.

Quantum Event · 01

What if forgetting werea discovery engine?

Three distant objects enter into resonance.

Imperfect memory
Self-healing materials
An old note on learning

An invention in progress

A living prototype.A deliberately rare ambition.

Quantum Objects already exists as a local-first, autonomous system. Its purpose is not to produce more content, but to surface a few connections that genuinely deserve to exist.

LOCAL-FIRST

Your objects remain close to you.

EXPLAINABLE

Every surprise reveals its reasoning.

DELIBERATELY RARE

Up to three events that matter.

ACTIONABLE

A discovery should be able to change something.

About the inventor

Making complexity speak.Since the first Object.

Jean-Michel Cambot imagines and builds systems that transform how we understand, anticipate and discover. Quantum Objects continues a trajectory that began with Business Objects, Predictive Objects and Lytn Objects.

An inventor and entrepreneur based in Montpellier, he works at the intersection of data, autonomous systems and human intuition.

OPEN SIGNAL · SELECTED COLLABORATIONS

Some ideas deservea conversation.

I reserve part of my time for a small number of projects where a difficult question, a new technology and genuine ambition meet. If you need less of a ready-made answer and more of an inventor’s perspective to frame, challenge or prototype an idea, let’s talk.

A problem that resistsA breakthrough ambitionThe drive to build
Open a conversation