Deploying agentic defense layers to restore and secure the rural perimeter at prefecture scale.
Japan's rural municipalities face a compounding wildlife crisis with no viable technological pathway to resolution. As of fiscal year 2025, over 219 people were attacked by bears in a single year , a recorded high. The structural cause is straightforward: rural depopulation has eliminated the passive human presence that historically served as a biological deterrent, while Japan's licensed hunter population (median age now exceeding 67) is in secular decline and cannot be replicated at scale. The serviceable addressable market for autonomous apex deterrence is expanding at approximately 18% CAGR. No one has built the infrastructure layer to capture it.
Legacy deterrence modalities (airhorns, electrified fencing, rubber-pellet harassment) are point solutions. They require human operators, offer zero terrain coordination, and generate no observability into wildlife movement or behavioral drift. Japan's publicly deployed "Monster Wolf" stationary robotic scarecrow represents the current state of the art: a solar-powered audio playback device with a fixed geographic footprint, no network capability, and a well-documented habituation failure mode in which bears acclimate to the stimulus within 60–90 days of initial exposure. There is no API. There is no SLA. There is no dashboard.
LycosAI reframes the rural perimeter as a distributed systems problem. Wildlife incursion is a latency issue. Habituation is a cache invalidation issue. The absence of a coordinated response layer is a single-point-of-failure architecture. We have built the infrastructure to solve all three simultaneously, at prefecture scale, from a single pane of glass, without a single human in the field.
Three integrated subsystems. One unified command surface. Zero legacy dependencies.
Every deployed unit participates in a self-organizing, self-healing peer-to-peer mesh with sub-50ms latency. Topology adapts dynamically to unit failure, terrain occlusion, and pack formation changes. No centralized coordinator. No single point of failure. The pack thinks as one.
Dual LWIR and RGB sensor fusion enables accurate species identification at 40 meters in total darkness. Our YOLO-derivative edge model achieves 94.7% classification accuracy across bear, boar, and deer threat vectors, running entirely on-device, with no cloud round-trip required for deterrence dispatch.
A 95dB omnidirectional speaker system with a library of 37 species-matched wolf vocalizations, dynamically selected per threat classification to prevent habituation. Frequency modulation adapts in real time based on behavioral telemetry from adjacent units. Sound is not static. Sound is a service.
All LycosAI units operate in a fully offline-capable mode. Pack-Mind consensus, species classification, and acoustic dispatch require zero cloud connectivity during active deterrence events. Telemetry and firmware updates are synchronized during low-activity windows via LTE. The perimeter does not depend on your uplink.
LycosAI is not a self-serve product. Commercial terms are disclosed post-qualification under mutual NDA. Priority access is granted to organizations with verified threat exposure and operational readiness.
Scout · Pack · Alpha · Sovereign · Tier assignment determined during intake.
Our field operations team reviews all requests within 1 business day. Capacity is allocated on a first-qualified basis.
In 1889, a large quadruped operating without mesh coordination, species classification, or acoustic calibration terrorized the Baskerville estate across the open moorland of Dartmoor. The animal was effective. The methodology was not repeatable, not remotely monitored, and offered no telemetry. The estate survived. The infrastructure did not scale.
We consider the Hound the first documented case of autonomous apex predator deterrence deployed in low-visibility, unstructured terrain. It was simply running without the stack.
The Baskerville Cohort is LycosAI's founding design partner program. We are selectively onboarding a small number of organizations willing to operate on the frontier — as Sir Henry once did — in exchange for early platform access, direct engagement with our field operations team, and the opportunity to shape the Pack-Mind training corpus before general availability.
The game is afoot. Cohort applications are reviewed on a rolling basis. We will not place you on a waitlist. We will either advance your application or we will not.
The name Lycos originates from the Latinized Greek Lykos (wolf), representing the apex of strategic endurance and pack-based intelligence. For over three decades, the name has been synonymous with the search for information. LycosAI represents the evolution of that mission: transitioning from digital search to physical perimeter intelligence. We are restoring the ghost of the predator to the modern landscape through distributed edge computing.