Backed by Outsome

Seeing the Unseen

On-Device AI for Plant Pathogen Detection

Neobio fuses proprietary fluorescent probe technology with powerful on-device AI for bio-imaging platform
This is the new standard in plant health.

Climate change has brought an pandemic to agriculture

  • Close-up of a tree with rough, textured bark and a large branch, with a snowy ground in the background, under a clear sky.

    Silent Damage

    These devastating diseases are invisible to the naked eye until they reach a critical tipping point. By the time symptoms appear, the silent spread of the pathogen is already out of control.

  • Aerial view of a person operating a small yellow excavator in an orchard with rows of fruit trees, some trees mowed, and a dirt path.

    Wasted Costs

    Uncontrolled outbreaks force entire orchards to be culled to prevent further spread. This results in devastating economic losses for growers.

  • People in hazmat suits working in an orchard with leafless trees during daytime.

    Human Error

    Field diagnostics still rely entirely on an individual's naked eye and experience. This approach isn't scalable, cannot be transferred through data, and is a key reason why infections continue to spread unchecked.

What if you Could see the threat before the symptom?

Our approach combines two core technologies

Diagram illustrating a two-step process for identifying and testing hit compounds against bacteria. Step 1 involves bacteria dye combination screening using fluorescence microscopy to identify E. amylovora bacteria. Step 2 focuses on on-site applicability of hit compounds, including treatment of infected plant organs with spraying or swabbing, followed by fluorescence monitoring to assess efficacy.

Fluorescent Probe

Driven Bio-imaging

 Our core technology is a revolutionary bio-imaging system powered by proprietary fluorescent probes. Instead of waiting for visible symptoms, our probes bind directly to the causal pathogens, making them glow under UV light. This provides instant, on-site visual confirmation of disease hotspots, replacing inconsistent human guesswork with objective, scientific data.

Close-up of multiple tree branches with some areas of bark stripped away, revealing the lighter inner wood, with some leaves on the ground and in a pot nearby.

VLM

for Scouting Automation

This bio-imaging technology does more than diagnose; it generates a world-first, ground-truth dataset of pathogen distribution. We use this exclusive data to train our Vision Language Model (VLM)—a specialized AI purpose-built for agriculture. This VLM is the engine for true scouting automation, enabling future robotics and AR systems to identify and manage threats proactively, optimizing treatments and securing yields.

OUR PARTNERS

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