PREDICT THE FLAME.
PROTECT YOUR NEIGHBOURS.
Machine Learning powered geospatial atmospheric and boundary forecasting built to give firefighters, community leaders, and farmers critical response time.
BRIDGING SATELLITE TELEMETRY & TACTICAL INTERVENTION
Developed with safe and efficient emergency responses in mind.
Simulation Latency
Fast Cellular Automaton inference delivered immediatly upon incident verification.
Spatial Resolution
High-precision probability grids computed across various time steps.
Action Auditability
Complete offline logging and synchronization for tactical containment barriers.
Mission Availiablity
Resilient architecture designed for low-connectivity rural and field deployments.
Community & Landowners
Instant anonymous fire reporting, live fire radius inspection, and proximity based evactuation alerts.
Firefighters
Tactical dashboard, with interactive maps, barrier logging, and a dynamic AI fire spread simulation.
Incident Coordinators
Role-based access control, multi-source NASA FIRMS verification, and complete incident archives.
Engineered for Extreme Conditions
Everything field commanders, community leaders, and first responders need in one unified program.
Calculate Fire Spread
Calculate the hourly spread of a fire up to 72 hours into the future.
Offline Action Sync
Automatic background caching and replay queues to keep incident reports and safe-point bookmarks when connection is lost.
Multi-Variable Telemetry
Live weather telemetry as well as a live map that shows the verified fire incidents near you.
Report Nearby Fires
Report fires nearby to help keep your community informed.
Purpose-Built Weather Prediction
Predicts the weather using a custom built Neural Network.
Log Containment Lines
Log containment lines near fires to see how they affect the spread.
Meet the people behind FireAway
Megan Lai
Team Lead, Integration Engineer, Testing Engineer
As a final-year Computer Science and Data Science student, I am a driven problem-solver who thrives on tackling complex technical challenges. While I possess a solid foundation in frontend technologies, my primary expertise and professional passion lie in backend development. I am always looking for ways to expand my knowledge and learn new skills in order to build innovative and impactful solutions.
Ryan Lynn
UI Engineer, Backend Engineer, Data Engineer, Simulation Engineer, DevOps Engineer
I am a final-year Computer Science student with a strong focus on backend development and system design. I take a structured and analytical approach to solving complex technical problems, with a particular interest in building efficient, scalable, and well-architected systems.
Inge Keyser
Testing Engineer
I am a results-oriented BSc Computer Science student at the University of Pretoria with a strong foundation in data analysis, programming, and mathematics. I am passionate about leveraging data-driven insights to solve complex problems and am always looking to apply and expand my skills in Data Science. I am quick to adapt and master new technologies, I apply creative problem-solving skills and demonstrate high enthusiasm when tackling new projects.
Janri du Toit
UI Engineer
I am a final-year student with a growing interest and curiosity in all the facets of Computer Science. I gravitate more towards AI and data science where algorithms don't just solve problems, they uncover them. To me, the ability of a well-trained model to reveal invisible patterns, optimizing system performance and offering solutions to real-world challenges, is where logic meets true impact.
Marco de Wit
UI Engineer, Integration Engineer
I am a final-year Mathematics student with a strong foundation in software development, specialising in C++, TypeScript, and Python. I bring a combination of analytical thinking and practical problem-solving, allowing me to design efficient and optimised solutions grounded in mathematical principles.