WeavAir Autonomous Environmental Intelligence System (AEIS)
WeavAir AEIS is a high-precision, end-to-end intelligence platform designed to protect first responders by providing real-time, predictive situational awareness in high-risk environments (CBRNe, wildfires, industrial fires, and EV battery incidents). The solution integrates a proprietary network of ruggedized, multi-sensor IoT devices with satellite Earth Observation (EO) data and edge-AI algorithms to create a dynamic "Digital Twin" of the disaster zone. Addressing Capability Gaps & Needs Our solution is purpose-built to close several high-priority IFAFRI Capability Gaps identified by the DIREKTION consortium: Real-time Detection, Monitoring, and Analysis of Threats and Hazards (CG 2): WeavAir detects over 20 environmental parameters, including toxic gases (CO, NO2, SO2), VOCs, and particulate matter, identifying hazardous signatures—such as those from EV battery fires or chemical leaks—in sub-seconds. Rapid Identification (CG 3): Using advanced sensor fusion, the system rapidly identifies specific hazardous agents and contaminants, allowing for immediate selection of appropriate PPE and decontamination protocols. Actionable Intelligence (CG 9): Unlike reactive sensors, our edge-AI predicts the spread of toxic plumes and smoke with 95%+ accuracy by fusing local ground-truth data with satellite atmospheric models. This provides a 15–30 minute predictive window for operational decision-support. Responder Health (CG 8): By monitoring the environmental load (heat, toxic exposure) in the immediate vicinity of the responder, the system prevents long-term respiratory injury and acute overexposure.
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The core objective of this proposal is to deploy the WeavAir AEIS —a "digital nervous system" for disaster resilience—bridging the critical data gap between first responders and invisible environmental threats. Primary Objectives Predictive Life-Safety Intelligence: Transitioning from reactive to proactive protection by providing a 15–30 minute predictive window on toxic plume trajectories (smoke, chemical agents, gases) using proprietary edge-AI and Satellite Earth Observation (EO). Operational Acceleration: Reducing emergency decision-making time by 40% through high-fidelity "Digital Twin" visualizations that pinpoint safe operational corridors and evacuation routes in real-time. Unified Situational Awareness: Delivering an interoperable data stream that fuses high-frequency ground-truth (IoT) with wide-area atmospheric monitoring (Satellite) for seamless command-to-field coordination. Direct Alignment with Capability Gaps WeavAir is purpose-built to address the most urgent European practitioner needs: Detection & Analysis (CG 2): Simultaneous monitoring of 20+ parameters (CO, NO₂, SO₂, VOCs, PM2.5) for immediate hazard identification. Rapid Identification (CG 3): Specifically optimized for EV battery fires and CBRNe events, detecting unique chemical signatures that traditional, non-networked detectors miss. Responder Health (CG 8): Preventing acute toxicity and long-term respiratory damage by tracking cumulative environmental load during operations. Actionable Intelligence (CG 9): Downscaling coarse satellite data with local IoT measurements to provide high-resolution intelligence in complex urban and industrial disaster zones. The WeavAir Ambition Our goal is to establish a new European standard for resilient communications. By utilizing a self-healing mesh network, WeavAir ensures 100% data continuity even during total infrastructure collapse. This is not just a sensor; it is a mature (TRL 7), scalable intelligence infrastructure.
WeavAir’s strength lies in its Hybrid Intelligence approach, shifting the paradigm from fragmented, reactive sensors to a networked system providing comprehensive 3D situational awareness. Our innovation is defined by three proprietary pillars: 1. Proprietary Satellite-IoT Data Fusion Traditional systems are either "Top-Down" (Satellite: wide coverage, low detail) or "Bottom-Up" (Handhelds: high detail, zero context). WeavAir’s core innovation is a fusion engine that uses real-time ground-truth from our IoT mesh to "downscale" Satellite Earth Observation (EO) data. By combining the scale of Copernicus Sentinel data with the sub-meter precision of on-site sensing, we provide high-resolution hazard maps that track transboundary toxic plumes with 95%+ predictive accuracy. 2. Edge-AI Predictive Modeling WeavAir replaces reactive gas detectors with proactive Edge-AI. While standard tools only alert upon direct hazard contact, our algorithms process data locally to forecast plume trajectories 15–30 minutes in advance. This AI is specifically trained to recognize the unique chemical "fingerprints" of EV battery fires and CBRNe agents, identifying complex threats that standard electrochemical sensors miss due to cross-sensitivity or slow response times. 3. Resilient Mesh Connectivity & Interoperability In disaster zones where cellular infrastructure typically fails, WeavAir’s proprietary LoRaWAN-Satellite mesh ensures 100% data continuity. Unlike traditional technology that is often siloed and fails during network outages, our "Plug-and-Play" architecture integrates seamlessly with existing first responder dashboards. This ensures that "Actionable Intelligence" (CG 9) is delivered through a unified common operational picture, moving the industry from localized, minute-delayed alerts to a resilient, hybrid-data ecosystem. TRL 7 Maturity This innovation is a mature system (TRL 7), successfully demonstrated in operational environments across Europe & Asia.
Impact: Operational Capacity The WeavAir Autonomous Environmental Intelligence System (AEIS) provides a decisive leap in operational capacity by resolving the "information blackout" that endangers first responders during the most critical phases of disaster response. Resolving the Invisible Threat Gap In high-stress environments—wildfires, CBRNe incidents, and EV battery fires—responders currently operate with zero visibility into invisible hazards. WeavAir resolves this by delivering: Dynamic Hazard Mapping: Our TRL 7 solution generates a high-resolution, live digital twin of toxic plume spread. Incident commanders can visualize threats—such as concentrated CO, NO₂, or specific lithium-ion electrolyte signatures—before they reach personnel. Predictive decision-Support: By fusing local IoT ground-truth with Satellite Earth Observation (EO), we eliminate reactive delays. Our system provides a 15–30 minute lead time on plume trajectories, allowing commanders to proactively define "Green Zones" for operations and "Red Zones" for immediate evacuation. Optimizing Resource & Responder Safety PPE & Stamina Conservation: By pinpointing precise hazard boundaries, WeavAir resolves the operational fatigue caused by the unnecessary use of heavy breathing apparatus. Responders can optimize equipment use, extending their operational window by 25%. Connectivity Resilience: Traditional communications often fail in subterranean sites or remote regions. Our LoRaWAN-Satellite mesh resolves this, ensuring 100% data continuity to command centers even when local infrastructure is destroyed. Quantifiable Operational Gains Field-proven through partnerships with Airbus and Safran, WeavAir reduces critical decision-making time by 40%. In disaster resilience, this speed directly translates to lives saved, minimized property damage, and a significant reduction in long-term respiratory illnesses for emergency personnel.
Led by Dr. Natalia Mykhaylova (PhD, Chemical Engineering), our team combines deep expertise in Pharmaceutical Chemistry, sensor fusion, and predictive AI. Our core members (including Julie Huber and Hyeonsuk Lim) possess cross-functional skills in hardware engineering, systems design, and international scaling. Having successfully navigated Techstars and MassChallenge, we are a female-founded, gender-balanced team proven in high-stakes operational environments.
Led by Dr. Natalia Mykhaylova (PhD, Chemical Engineering), our team combines deep expertise in Pharmaceutical Chemistry, sensor fusion, and predictive AI. Our core members (including Julie Huber and Hyeonsuk Lim) possess cross-functional skills in hardware engineering, systems design, and international scaling. Having successfully navigated Techstars and MassChallenge, we are a female-founded, gender-balanced team proven in high-stakes operational environments.