Numerous, dispersed, remote assets.
Difficulty understanding every situation in real time.
Within 3 minutes, the operator responds and acts. Within 30 ms, the machine acts and de-risks.
Transform your machines into intelligent, autonomous assets.
The operator governs them.
ASSET 04 / AUTONOMOUS
30 MS
↓
01
CHANGE THE MODEL
Industrial and critical systems will become increasingly complex.
The difficulty is no longer seeing the failure.
It is understanding its depth, impact, and urgency,
while operating a fleet of distributed, remote equipment saturated with alarms and data.
Too much data. Too many alarms. Too many procedures and compliance constraints.
The operator cannot see, analyze, and anticipate everything.
Industry has connected machines
but not yet their contextual intelligence.
THE BREAKTHROUGH
↓
It is not another supervision layer.
It is a new model of machine:
More intelligent. Autonomous. Governable.
02
HOW IT WORKS
One architecture.
Three levels of action.
Machine speed, system understanding, and human decision-making, brought together in one value chain.
Embedded AI / 30 MS
Embedded autonomy
AI and agents detect, decide, and act locally. Up to 80% of processes and services are executed locally, without relying on the network.
SYSTEM / CONTEXT
TwinForge Platform
The (On-Premise) platform builds a global view, makes context understandable, and prioritizes useful actions for operators.
HUMAN / INTENT
Human-machine governance
Humans set priorities and remain in control. The machine acts at the required speed, within an explicit framework.
03
TWINFORGE IN ACTION
From autonomous asset
to understood situation.
TwinForge connects embedded intelligence, the contextual digital twin, and the operator in one decision chain.
01
ACT / EDGE
Embedded AI observes.
Embedded intelligence analyzes, predicts, and anticipates failures, then locally executes the countermeasures and processes defined by the operator, even when the network is unavailable.
- Observe / Objectify
02
SEE / TWINFORGE
The digital twin becomes situational.
TwinForge connects data, events, processes, and constraints to represent not only the asset’s state, but the components of its real situation.
- Restitue / Customize / Distribute
03
RULE / HUMAN
The operator understands and governs.
The operator receives a prioritized, explainable situation that is directly actionable for their role, then defines the machine’s rules and authority levels.
- Configure / Deploy / Control
ONE OPERATIONAL LOOP
- Detect on the asset.
- Understand in TwinForge.
- Decide at the right level.
04
OUR MARKETS
Autonomous systems for environments where waiting is not an option.
Dual-use verticals for critical and industrial
distributed operated assets
Defense and Security
Distributed systems in hostile zones.
Energy
Distributed and resilient networks. Autonomy for critical nodes.
Critical Infrastructure
Smart grids, transport, water networks. Service continuity.
Confined and hazardous industrial environments
Chemical, petrochemical, nuclear, biological.
Mining Industry
Isolated sites and constrained environments.
Maritime and Offshore
Distributed and isolated fleets.
Spatial
Isolated space infrastructure and ground-segment assets.
Research & Exploration
Autonomous measurement, exploration, and experimentation in isolated environments.
Transport
Autonomous transfer stations and isolated logistics corridors.
Less stress.
Lower risk.
More continuity.
More operational intelligence.
Reduce costs and secure your operations with systems capable of acting locally.
Talk about your operations →Stop selling only machines.
Stop losing visibility after delivery.
Transform machines into intelligent service platforms.
Create high-value digital services.
Become a partner →
WHY TWINFORGE
30
years of combined areas of expertise in systems engineering,
IT architecture,
Digital Twins and embedded AI.
IT architecture,
Digital Twins and embedded AI.
OUR ROADMAP
Ready for industrialization and deployment.
0 — R&D
1 — Prototype
2 — OEM and Industrial POC
3 — OEM Integration
4 — Industrial Integration
5 — Market Deployment
6 — Fleet Intelligence
7 — Autonomous Assets
05
FOUNDING TEAM
Nadeya Dichampt
CMO / co-founder
- Florida Atlantic University
- PhD
- EDHEC / MBA
- Oakland University
- BE Electrical Engineering (Robotics & Mechatronics)
Stéphane Sollat
CEO / founder
- Cambridge University
- Institute for Sustainability Leadership
- TelecomParis
Jehan-Antoine Vayssade
CTO / co-founder
- PhD
- Université Bourgogne-Franche-Comté
- MS Image Analysis & Computer Graphics
- Université Paul Sabatier Toulouse
CONTACT
Let’s talk about the competitiveness of your assets
And their autonomy.
Operators, OEMs, industrial partners, space and defense operators: tell us where your challenge stands, and we will get back to you with the right level of discussion.