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 (there’s not any AI, in fact); 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
POLLi provides organizations with the tools needed to supercharge data collection and analysis. We remove barriers, letting you focus on making the most informed decisions, increasing your team’s effectiveness.
