The Problem: The Visibility Trap

Modern agriculture is stuck in a Visibility Trap. Today’s AI and computer vision solutions can only detect a disease after the symptoms appear. By then, the damage is done.

This reactive approach forces farmers into a cycle of excessive pesticide use—a costly strategy that impacts profitability, promotes resistance, and harms the environment. We believe there is a better way.

Our Approach: Beyond the Symptom

We don't look for the symptom; we see the pathogen. Neobio's breakthrough bio-imaging platform uses proprietary fluorescent probes to visualize the causal pathogens themselves.

A simple application and a UV scan on-site is all it takes to reveal the invisible frontline of an infection, enabling treatment before symptoms ever develop.

Our Vision: The Future is Agentic AI

Our technology does more than just diagnose. Every scan generates a unique, proprietary data point, building a foundational dataset that simply doesn't exist anywhere else.

This data is the fuel for 'Ceres AI'—our vision for a true Agentic AI for agriculture. Ceres will not be just a predictive model; it will be a planning agent, a digital agronomist that leverages a suite of sub-agents (for VLM-based scouting, risk prediction, and resource scheduling) to create a truly hyper-intelligent farming operation.

Diagram illustrating steps for identifying and applying treatment to E. amylovora bacteria. Step 1 involves bacteria dye combination screening and microscopy imaging to identify hit compounds. Step 2 involves on-site applicability testing with plant organs and infection models, using UV fluorescence monitoring after treatment with spray or swab methods.
Close-up of several grapevine branches with pruning cuts, surrounded by green leaves and fallen brown leaves on the ground.

source : On-site applicable diagnostic fluorescent probe for fire blight bacteria, iScience 2023

source : Rural Development Administration