Expert-Led Governance
POLLi’s machine learning models power species identification, targeted analysis, and a pixel-level Habitat Index into a standardized audit-ready record.
POLLi is more than AI; it is a governed evidence standard for complex landscapes where traditional automation fails. Most AI cannot identify species like Common Milkweed because the necessary high-fidelity training data simply does not exist. We solve this "cold start" problem by providing the infrastructure to capture and validate this data from scratch.
Our platform utilizes a "Human-in-the-Loop" workflow, codifying Subject Matter Expertise to ensure every detection is precise and trustworthy. This expert-led governance eliminates the "model drift" found in generic agricultural tools that struggle with natural, heterogeneous terrain. By combining human judgment with high-resolution imagery, we deliver a digital thread of evidence that is both traceable and verifiable.
POLLi is architected for the unique challenges of Right-of-Way and conservation stewardship where safety and ecology coexist. We provide non-actuating Advisory Zones that turn raw imagery into a standardized, audit-ready record. This ensures that your decisions are backed by a consistent evidence standard that remains comparable across every season and geography.
The Evidence Engine
