Embio Diagnostics provides portable diagnostic devices for real‑time indoor air quality monitoring and rapid food‑safety testing. Their airbeld™ system uses high‑sensitivity gas sensors and AI to detect pollutants and deliver personalized alerts, while the B.EL.D™ platform applies potentiometric sensing and machine‑learning to identify chemical hazards and detect Listeria within 24 hours, enabling on‑site, laboratory‑grade analysis without the need for a lab.
Funding
$2.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Indoor environments often lack continuous monitoring of pollutants, leading to unhealthy or unsafe conditions that can affect occupant comfort and product safety in food processing. Traditional air quality and microbial detection methods are typically stationary, slow, and require specialized laboratory equipment, limiting real‑time decision making.
Solution
Embio Diagnostics offers two portable diagnostic platforms: airbeld™ for real‑time indoor air quality monitoring and B.EL.D™ (Bio Electric Diagnostics) for rapid chemical and microbiological analysis, including 24‑hour Listeria detection. Both devices integrate proprietary sensor arrays with machine‑learning algorithms to deliver continuous, accurate measurements on‑site. The systems provide AI‑driven insights and personalized notifications, enabling users to act immediately to improve air safety or ensure food product compliance. Their compact, field‑ready design eliminates the need for laboratory infrastructure while maintaining laboratory‑grade reliability.
Target Audience
Primary customers are food manufacturers, quality‑assurance labs, and facilities managers responsible for indoor environmental health and product safety.
Features
- airbeld™ combines high‑sensitivity gas sensors with a proprietary AI algorithm for real‑time detection of indoor pollutants
- AI assistant delivers personalized alerts and recommendations to maintain a healthy indoor environment
- B.EL.D™ utilizes potentiometric principles and machine‑learning models for multi‑purpose chemical analysis, including rapid Listeria detection within 24 hours
- Portable, battery‑operated hardware suitable for on‑site use in food production, research labs, or indoor spaces
- Cloud‑connected data platform for remote monitoring, trend analysis, and integration with existing safety management systems
- Platform‑ready architecture allowing custom assay development and expansion to additional analytes