Behavioral snapshots
Short tests capture only fragments, missing disease progression and circadian dynamics.
Needs a continuous observation window
BA-NextCage
AI-driven multimodal animal phenotyping platform. Real-time analysis of ten fine behaviors and 3D kinematics across multiple animals, with 24/7 home-cage monitoring, individual food and water intake tracking, and automated body temperature and weight measurements.

Research context
Traditional behavioral studies often rely on short tests conducted outside the home cage. Handling and unfamiliar test settings can alter natural behavior, while manual observation add further bias. These limitations make it difficult to follow disease progression over time. They also obscure circadian activity patterns and natural social behavior. With the growing use of chronic disease models and longitudinal drug studies, researchers need low-disturbance systems that support continuous observation and provide a more natural, comprehensive view of the animal phenotype.
Short tests capture only fragments, missing disease progression and circadian dynamics.
Needs a continuous observation window
Group-housed animals are easily misidentified, undermining individual-level tracking.
Needs stable multi-animal identity
Manual observation makes fine behaviors and social interaction noisy and hard to reproduce.
Needs objective quantification
Behavior, physiology, and environment stay siloed, preventing unified phenotyping.
Needs multimodal alignment
Long-duration videos require extensive manual annotation and review.
Needs automated analysis
Systems struggle to maintain reliable operation during long-term experiment, disrupting longitudinal studies.
Needs reliable continuous capture
Why it matters

Chronic disease needs continuous longitudinal evaluation

Drug discovery needs more sensitive digital phenotypes

Preclinical research needs greater reproducibility and translational value

Animal welfare requires less handling and human disturbance

Complex disease research requires integrated analysis of behavioral, physiological, and environmental data.

AI and edge computing now make real-time multimodal analysis product-ready
Technical leadership
Core technology stems from Nature Communications research. Built on 3D computer vision and multidimensional time-series analysis, the platform turns complex behavioral patterns into a computational framework for quantitative digital phenotyping, leading in technical innovation, scientific rigor, and industrialization.
Multi-camera sync capture and 3D reconstruction enable robust tracking of joints, poses, and trajectories across species.
Pose → action → ethogram → state, a linguistics-inspired framework for fine behavior decoding.
No maze required — capture place, speed, action sequences, and subtypes in the home cage.
Data- and AI-Driven 3D Vision + AI-generated ethogram
Against Noldus and ANY-maze
Commercial deployment vs. research-stage MoSeq
Research translated into real-world adoption
A deployable platform for animal behavior research
Product Architecture
Sensing · Edge Intelligence · Data Hub · Application
Sensing hardware, embedded algorithms, and centralized control software are integrated, enabling multimodal acquisition, real-time AI analysis, centralized device management, and visualization reporting.
Why NextCage
Core capabilities
Synchronized pose and trajectory reconstruction quantifies fine-grained behavior and social interactions, making complex behavioral phenotypes computable and comparable.
Automated 24/7 operation for chronic models and longitudinal designs.
Automatic feeding and drinking bout counts and intake with real-time anomaly alerts.
Contactless temperature trending with weight precision to 0.1 g.
FILTER BY CAPABILITY
System options
From cage sensors to AI algorithms and visualization—deploy only the modules you need.
Hardware

Software

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Explore deployment options, custom configs, and research collaboration — start smart-cage phenotyping.