Open-access conservation research
Combining ecological AI, marine bioacoustics, environmental genomics and community stewardship to safeguard biodiversity.
- Research publications
- 130+Research publications
- Hectares monitored
- 2.4MHectares monitored
- Bioacoustic sensors
- 500+Bioacoustic sensors
- DeSci grants allocated
- $10M+DeSci grants allocated
Applied AI and marine bioacoustics lab
Zoo Labs — where AI meets the natural world
Zoo Labs is the computational research arm of Zoo Labs Foundation. Explore the interactive beluga whale language interface, the wildlife edge models and the open datasets.
- Live beluga chat and audio analysis
- Gym TF-GRPO distributed training
- Satellite telemetry ingestion
- Open source model weights
Open access
Publications and whitepapers
Peer-reviewed papers, pre-prints and protocols.
Marine Bioacoustics & Cetacean Language Modeling with ZenLM
Zoo Labs Foundation & Hanzo AI Research
Journal of Marine Science & AI
Decoding Arctic beluga whale vocalizations, signature whistles, and social acoustic patterns using self-supervised audio foundation models and real-time hydrophone streams.
Gym Training Platform: Decentralized Model Training at Scale
Zoo Labs Foundation
Zoo AI Technical Report
Infrastructure for distributed deep learning training across heterogeneous edge compute nodes with 99% cost reduction via TF-GRPO for wildlife conservation models.
Experience Ledger: Decentralized Semantic Optimization for Conservation
Zoo Labs Foundation
DeSci Quarterly
Community-driven semantic optimization protocol for collaborative ecological model improvement with Byzantine-robust field data aggregation across 40+ sanctuaries.
HLLM: Training-Free GRPO for Environmental Language Models
Zoo Labs Foundation
ArXiv Pre-Print
Training-free group relative policy optimization achieving $18 training cost vs $10,000+ traditional fine-tuning with 100× data efficiency on wildlife taxonomy tasks.
Zoo Network Architecture: Proof-of-Conservation Consensus
Zoo Labs Foundation
Zoo Protocol Specification
Technical architecture for the Zoo decentralized AI and ecological sensor network with proof-of-contribution telemetry verification.
ZIP-002: Zen Reranker for Biodiversity Data Retrieval
Zoo Labs Foundation
Zoo Improvement Proposal
Specification for cross-encoder ecological search and taxonomical retrieval, enabling rapid field lookups of endangered fauna and flora.
Autonomous Edge Computer Vision for Solar-Powered Camera Traps
Zoo Labs Field Team & Conservation International
Remote Sensing in Ecology
Real-time edge classification of 450 African and Asian species running on low-wattage solar camera traps with instant anti-poaching satellite alerts.
eDNA Biodiversity Mapping in Tropical Rainforest Canopies
Santos, M., Patel, R., Zoo Labs Research
Nature Conservation
Metagenomic barcode sequencing across 50,000 sq km of Amazonian canopy establishing baseline biodiversity registers prior to climatic tipping points.
Genetic Rescue Protocols for Critically Endangered Red Wolf Populations
Zoo Labs Wildlife Sanctuary Team
Conservation Genetics Journal
Genome sequencing and assisted reproductive genomics for the remaining 25 wild Red Wolves, preventing inbreeding depression and boosting immunological resistance.
Coral Reef Thermal Refugia Forecasting via Physics-Informed Neural Networks
Chen, S., Liu, W., Zoo Labs Foundation
Ocean Science & Climate Review
Predicting heat-tolerant coral genotypes and marine thermal refugia under warming sea scenarios to accelerate targeted reef restoration.