The Science of Headspace Analysis

Scanning the invisible air profile of your bins to stop post-harvest threats before they cause visible damage.

A Proven Platform. Specialized Protection.

GrainGuard utilizes the field-proven architecture and neural networks of AirGuard, an established, high-precision environmental sensing platform. We have engineered this core intelligence to identify specific biological chemical fingerprints within stored grain headspace.

With laboratory proof-of-concept validation successfully completed, this platform transitions a matured technology foundation into a proactive, scalable agricultural defense system.

Gain weeks of lead time.

Day 1

GrainGuard detects active Aspergillus gas signatures.

Day 21

CO2 levels begin to rise (Competitor detection starts here).

Day 35

Temperature spikes and physical spoilage is visible.

Gain weeks of lead time.

Day 1

GrainGuard detects active Aspergillus gas signatures.

Day 21

CO2 levels begin to rise (Competitor detection starts here).

Day 35

Temperature spikes and physical spoilage is visible.

 How the Technology Translates to the Bin


Constant Headspace Profiling

Instead of relying on manual, calendar-based physical sampling that can leave grain vulnerable for weeks at a time, GrainGuard is designed to actively sample the air within your storage bins. By monitoring the complex environment of the "headspace" - the air pockets trapped between the grain kernels - our system tracks the invisible microscopic environment 24/7, catching the hidden shifts that manual probing misses.

Decoding the Digital Fingerprint

Leveraging the field-tested architecture of the AirGuard platform, GrainGuard utilizes a specialized multi-channel sensor array engineered specifically for the grain ecosystem. Every biological threat leaves an invisible chemical signature. Rather than isolating a single indicator like standard temperature cables do, this adapted technology is built to recognize the distinct "digital fingerprint" associated with pest respiration and early-stage mold metabolism simultaneously.

Decoding the Digital Fingerprint

Leveraging the field-tested architecture of the AirGuard platform, GrainGuard utilizes a specialized multi-channel sensor array engineered specifically for the grain ecosystem. Every biological threat leaves an invisible chemical signature. Rather than isolating a single indicator like standard temperature cables do, this adapted technology is built to recognize the distinct "digital fingerprint" associated with pest respiration and early-stage mold metabolism simultaneously.

Turning Data into Automated Mitigation

Raw data is only useful if it’s actionable. The multi-channel sensor data is analyzed by predictive neural networks trained to separate normal grain aging and ambient humidity from active biological threats. Our ultimate goal isn’t just to send an alert it is to trigger a solution. The GrainGuard system is being engineered to integrate directly with your facility's existing aeration systems. The system is designed to automatically activate your bin fans at optimal moments, driving down temperature and moisture to shift the environment in directions favorable for your grain.

Behind the science

We see the threat weeks before it shows up.

Mold and pests release a unique chemical fingerprint long before temperature or CO₂ levels move. GrainGuard's MVOC sensing platform — adapted from AirGuard's proven HVAC technology — listens 24/7 for signals you can actually act on.

  • Specific to Aspergillus, the primary source of aflatoxin
  • Built on field-proven AirGuard sensor architecture
  • Pairs with temperature & moisture data you already collect

Live model

Threat detection timeline

MVOC
THREAT SIGNAL W0 W2 W4 W6 W8 TIME (WEEKS) GrainGuard detects Cables react 3–5 WEEK LEAD
GrainGuard MVOC sensing
Traditional cables

Behind the science

We see the threat weeks before it shows up.

Mold and pests release a unique chemical fingerprint long before temperature or CO₂ levels move. GrainGuard's MVOC sensing platform — adapted from AirGuard's proven HVAC technology — listens 24/7 for signals you can actually act on.

  • Specific to Aspergillus, the primary source of aflatoxin
  • Built on field-proven AirGuard sensor architecture
  • Pairs with temperature & moisture data you already collect

Live model

Threat detection timeline

MVOC
THREAT SIGNAL W0 W2 W4 W6 W8 TIME (WEEKS) GrainGuard detects Cables react 3–5 WEEK LEAD
GrainGuard MVOC sensing
Traditional cables

Moving from Lab to Field

(Our TRL Progress)

We believe agricultural innovation requires rigorous validation. Having successfully demonstrated our core capabilities and achieved successful laboratory proof-of-concept validation (TRL 4), GrainGuard technology is actively advancing into real-world environment testing (TRL 5). Through upcoming field pilots deployed across commercial grain facilities, we are continuously gathering data to refine our predictive models. This development is designed and reviewed in coordination with leading experts in stored-product insects, food safety, and precision agricultural engineering from Clemson University and the USDA Agricultural Research Service (ARS).

Frequently Asked Questions

  • Is the GrainGuard system commercially available right now?

    A: We are currently in our TRL 5 field-testing phase, executing real-world pilot deployments alongside select commercial partners. While individual units are not yet for sale, we invite you to join our early adopter waitlist to receive technical updates and priority access when commercial waitlists open.

  • Do I need to replace my existing temperature cables or bin infrastructure?

    A: No. GrainGuard is engineered to overlay and complement your existing setup, not replace it. While standard temperature cables measure lagging physical indicators (waiting for the grain to heat up after a problem is already established), GrainGuard continuously scans the air headspace for proactive, invisible chemical shifts.


  • How does the system prevent false alarms caused by outside weather or changing humidity?

    A: Built on the proven architecture of our foundational AirGuard environmental sensing platform, GrainGuard uses advanced predictive neural networks. These algorithms are specifically trained to separate normal atmospheric changes (like standard grain settling or ambient outdoor humidity) from the actual biological signatures of pest respiration and mold metabolism.


  • How does the automated fan feature work?

    A: The system is being engineered to integrate directly with your facility's existing aeration controls. When our model identifies moments of opportunity to improve the condition of your grain, the system is designed to automatically trigger fan relays to immediately modify the bin's environment—providing an autonomous line of defense before visible damage can occur