Adaptive collaborative sensing
Nodes coordinate with each other, scaling resolution and switching on extra sensing modes only when and where they are needed.
Beyond detection.
Understand the threat.
Sylvora Sensors develops adaptive, AI-powered sensing intelligence for earlier wildfire detection, source localization, and evolving-risk prediction.
How it works
Our platform combines chemical, environmental, acoustic, and geospatial data. Six steps take a faint signal to a decision you can act on.
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1
Detect
Monitor temperature, humidity, VOCs, CO, particulate matter, fuel moisture, wind, solar radiation, and other environmental conditions.
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2
Identify
AI-driven chemical fingerprinting distinguishes potential wildfire signals from other emission sources.
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3
Collaborate
When one node detects an anomaly, selected nearby sensors automatically increase sensing resolution.
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4
Localize
Data from multiple nodes is combined with wind, timing, terrain, and concentration gradients to estimate the probable source.
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5
Verify
Chemical, environmental, and optional acoustic signals are fused to raise confidence and reduce false alarms.
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6
Predict
Track how the threat is changing, moving, or intensifying over time.
A network that investigates, not just monitors
Most Sylvora sensors run in ultra-low-power mode. When suspicious activity appears, the network activates the most relevant neighbouring nodes and sensing modalities.
Instead of every sensor working at full power all the time, effort goes where the risk is. That keeps deployments energy-efficient and makes each alert better informed.
- Watch. Nodes sample quietly at low power.
- Anomaly. One node flags an unusual signal.
- Investigate. Neighbours wake, add modalities, and localize the source.
Technology
Four capabilities working together at the edge and in the cloud.
Chemical fingerprinting
AI models read the chemical signature of smoke and emissions to separate likely wildfire signals from traffic, industry, or other sources.
Plume localization
Concentration gradients, wind, timing, and terrain across several nodes point back to where a plume most likely started.
Multimodal AI verification
Chemical, environmental, and optional acoustic evidence is fused into one confidence score so teams respond to real threats, not noise.
Built to upgrade the infrastructure you already have
Sylvora is designed to complement compatible environmental sensor networks. Add our AI, edge intelligence, adaptive sensing, and additional sensor modules without necessarily replacing what is already in the field.
Applications
Wildfire detection
Earlier warning of ignition, with a probable location and a confidence level attached.
Forestry
Continuous insight into fuel moisture, air quality, and changing fire risk across managed land.
Municipalities
Protection for the wildland-urban interface and clearer information for residents and responders.
Utilities and critical infrastructure
Monitoring along corridors and sites where a missed ignition carries the highest cost.
Who we serve
Government and wildfire agencies, municipalities, utilities, forestry organizations, parks, emergency management, Indigenous communities, and critical infrastructure operators.
Why Sylvora
- AdaptiveSensing effort follows the risk.
- CollaborativeNodes work together to investigate.
- Energy-efficientUltra-low-power until it matters.
- MultimodalChemical, environmental, acoustic, geospatial.
- InteroperableWorks with compatible existing networks.
- ActionableSource, confidence, and trend in one view.
Our goal is to move wildfire monitoring beyond simple detection toward intelligent source identification, localization, verification, and risk prediction, with fewer false alarms along the way.
About Sylvora
To use intelligent sensing and collaborative AI to protect forests, communities, and critical infrastructure.
Our vision
A future where every wildfire is understood from its first signal: what it is, where it started, and where it is heading.
Our story
Sylvora Sensors Inc. is based in Victoria, British Columbia. The company was founded to close the gap between knowing that smoke is present and knowing what to do about it, bringing sensing science and AI together for the people who protect forests and communities.
Team
Partners and pilots
We are working with early partners to validate Sylvora in real conditions. If your organization wants to shape how the technology is deployed, we would like to hear from you.
Research collaborations
Joint work on sensing, chemical signatures, and AI models.
Validation projects
Field trials that test detection, localization, and false-alarm rates.
Municipalities
Pilot deployments around communities and the wildland-urban interface.
Universities
Student and faculty partnerships in fire science, data, and engineering.
Partner with us
Tell us about your site, your current sensors, and what you need to know sooner. We will get back to you soon.
- www.sylvorasensors.ca
- Victoria, British Columbia, Canada