ADAPFI develops next-generation cognitive systems combining adaptive filtering, artificial intelligence, predictive analytics and autonomous decision-making to optimize complex systems in real time.
Observe → Estimate → Predict → Decide → Control
Data acquisition from sensors, IoT devices, robots, buildings, energy systems and operational platforms.
Robust estimation of hidden states in uncertain, noisy and dynamically changing environments.
Learning-based prediction of future system states, risks, anomalies and operational scenarios.
Decision intelligence and predictive control to optimize actions in real time under constraints.
Collect operational data from physical and digital systems.
Estimate the real state of the system despite noise and uncertainty.
Forecast future states, events, anomalies and optimization opportunities.
Select optimal decisions according to mission, safety and performance objectives.
Apply predictive control and continuously adapt system behavior.
Predictive energy management, battery intelligence, renewable energy optimization and demand-response control.
Adaptive HVAC control, occupancy prediction, comfort optimization and energy-efficiency automation.
Human-robot collaboration, shared autonomy, mission adaptation and intelligent robot supervision.
GNSS/IMU fusion, adaptive localization, sensor fusion and resilient navigation for autonomous systems.
Closed-loop monitoring, personalized treatment optimization and adaptive healthcare decision support.
Predictive maintenance, anomaly detection, process optimization and resilient industrial automation.
| Traditional Automation | ADAPFI Cognitive Systems |
|---|---|
| Fixed rules and thresholds | Adaptive intelligence |
| Reactive operation | Predictive and anticipative decisions |
| Static configuration | Self-adaptive optimization |
| Limited resilience to uncertainty | Robust state estimation |
| Manual supervision | Autonomous decision support and control |
State estimation methods designed to adapt to changing noise, uncertainty and operational conditions.
AI modules support prediction, anomaly detection and decision intelligence in dynamic systems.
Designed for uncertain, noisy, disrupted and safety-critical environments.
Adaptive Filtering for State Estimation under Uncertainty
Patent-protected adaptive filtering technology enabling robust estimation,
innovation-based adaptation and resilient operation in uncertain and dynamic environments.
Intellectual property foundations covering adaptive estimation, variable-gain filtering, uncertainty-aware state reconstruction and robust filtering architectures.
Extension of adaptive filtering principles toward cognitive systems capable of observation, estimation, prediction, decision and control.
Ongoing developments around hybrid architectures combining adaptive filters, artificial intelligence modules and predictive control for autonomous systems, energy, robotics and smart infrastructure.
ADAPFI extends patented adaptive filtering technologies into a unified cognitive architecture:
Observe → Estimate → Predict → Decide → Control
This creates a common technological foundation for smart energy, intelligent buildings,
robotics, autonomous mobility, healthcare and industrial systems.
Adaptive Filtering for GNSS Localization
R&T R-S22/LN-0002-069. Advanced adaptive estimation techniques
for robust satellite-based positioning and resilient navigation.
Safe Multi-Sensor Positioning for Autonomous Agricultural Vehicles
Development of safe multi-sensor positioning systems for autonomous agricultural machines
and associated certification methods.
Artificial Intelligence for Navigation
ILLION, for Intelligence artificielLLe pour la navigatION, is a France 2030 project
dedicated to AI-enhanced navigation and localization technologies.
AI-Enhanced Abrupt-Adaptive Filtering for Near Real-Time Forest Stress Nowcasting
Adaptive intelligence methods for climate-smart forest monitoring, forest stress nowcasting
and environmental resilience.
Hybrid Enhanced Robust Models for Edge-Based Systems Forecasting
EU-funded project focused on AI-enhanced forecasting, anomaly detection and adaptive intelligence
for IoT and edge-based systems.
Ongoing project development activities related to human-robot interaction, cognitive robotics, shared autonomy and adaptive robotic intelligence.
Ongoing development of AI deployment concepts and cognitive intelligence solutions for industrial, environmental and societal applications.
Project preparation and partnership activities in smart energy, smart buildings, autonomous systems, sustainable mobility and intelligent infrastructure.
Preparation of collaborative deep-tech projects in artificial intelligence, robotics, energy, mobility, GNSS, smart cities and adaptive intelligence.
ADAPFI combines patents, scientific publications, institutional R&D experience, selected innovation projects and ongoing European project development to accelerate the deployment of adaptive intelligence in real-world systems.
Looking for technology partnerships, research collaborations or industrial deployments? Contact the ADAPFI team.
Contact Us →contact@adapfi.com