Edge Computing20+ units deployedPTZ System: Autonomous 24/7 Avifaune Surveillance
A fully autonomous pan-tilt-zoom surveillance system running 100% on edge computing — detecting and tracking birds around the clock without cloud dependency.

PlanetWatch.ai combines real-time computer vision and deep learning to detect, classify, and protect sensitive species around renewable energy installations — on land and at sea.
99%+
Detection accuracy
<1s
Real-time response
50+
Species classified
Why PlanetWatch
Our technology is built for renewable energy operators and developers who refuse to choose between performance and ecological responsibility.
Precise, real-time detection identifies and protects sensitive species — birds, bats, and migratory fish — around your installations, on land or offshore.
Instant, automated analysis of images, sound, and flight trajectories lets you make informed decisions while meeting every regulatory constraint.
Anticipate and reduce unnecessary shutdowns, streamline your processes, and stay ahead of tightening environmental standards with confidence.
How It Works
PlanetWatch combines machine learning and deep learning to acquire, interpret, and classify data intelligently — a complete pipeline from the field to actionable insight.
Detect birds, bats, and migratory fish from up to 6 miles away. Estimate abundance, evolution, and survival rates to inform new ecosystem preservation strategies.
Through image, sound, and trajectory analysis, PlanetWatch delivers a clearer picture of how installations impact local wildlife.
Reduce collision mortality and eliminate unnecessary emergency turbine shutdowns with predictive, data-driven mitigation.
A patent-pending visual deterrent integrates directly with SCADA to slow or stop turbines when needed — a simple, scalable way to meet growing regulatory demands.
Solutions
Whether you operate a wind farm, a hydropower dam, or a mixed-use site, PlanetWatch adapts to your environment and your species of concern.

Autonomous avifaune surveillance 24/7 with edge computing. Reduce collision risk and unnecessary curtailment while protecting birds and bats.

Monitor seabirds and marine life around offshore installations with computer vision tuned for harsh, remote environments.

Track migratory fish trajectories near dams and intakes. Inform safe passage strategies and meet environmental flow requirements.

Detect necrophagous and granivorous species attracted by agricultural work, and adapt mitigation in real time across mixed-use sites.
Traction & Results
A passionate team combining AI expertise with ecological commitment, backed by a strategic environmental partnership with Calidris, for a harmonious coexistence between energy and biodiversity.
Edge Computing20+ units deployedA fully autonomous pan-tilt-zoom surveillance system running 100% on edge computing — detecting and tracking birds around the clock without cloud dependency.
Agricultural CurtailmentAn innovative module that detects farming activity in real time to manage collision risk for necrophagous and granivorous birds near rural wind farms.
Benchmark StudyIn a southern France wind farm, we tested multiple AI algorithms in real time to reduce false positives and improve reactivity — protecting birds while keeping the park efficient.
Protected SpeciesUsing AI and real-time trajectory analysis, we detected black storks, mapped collision risk zones, and optimized turbine placement to meet strict environmental requirements.
Our Team
A founding team combining deep AI expertise, field experience with renewable energy operators, and a shared commitment to biodiversity.

CEO
Founder of AViA SYSTEM and its FAUNiA biodiversity platform, and 20-year President of OS System, an IT infrastructure and security firm. 17+ years building software and security products before founding PlanetWatch's biodiversity-tech vision.

CTO
20+ years scaling technology from European deep-tech to US enterprise — built StickyAdsTV's infrastructure to 10B+ daily requests across 12 data centers before its FreeWheel acquisition. Now architects BirdDetect, PlanetWatch's patent-pending, multisensor AI detection system running on NVIDIA Jetson edge hardware.

CMO
25+ years in strategic communications across the U.S. and France — recent work for NextEra Energy, the Environmental Defense Fund, and Nestlé, with roots at the U.S. EPA's Energy Star program and Greenpeace's early Arctic climate expeditions.
For Investors
PlanetWatch sits at the intersection of two accelerating markets — renewable energy deployment and environmental compliance — with a patent-pending detection platform already running in the field and a strategic environmental partnership with Calidris.
$543B
Global wind energy market by 2034, up from $174B in 2024
$250M
Bird detection system market by 2033, at 7.77% CAGR
20+
Units deployed in the field
Environmental compliance requirements for renewable energy sites are tightening worldwide, expanding the addressable market for automated monitoring.
Our edge-computing architecture deploys on any site, with or without connectivity — from a single wind farm to a multi-country fleet.
Deep AI, hardware, and go-to-market experience across our founding team, focused squarely on the renewable energy sector.
Pilot Program
A low-risk, structured path for operators to evaluate real-time biodiversity monitoring before committing to a full deployment.
We learn about your site, species of concern, and current monitoring or curtailment constraints.
Our team scopes sensor placement and success metrics tailored to your installation.
PlanetWatch is installed and running on your site, delivering real-time detection data from day one.
We review measured impact together and define a path to full rollout.
Get in Touch
Tell us about your site and your species of concern. Our team will get back to you within 48 hours to scope a tailored demonstration.