Our mission is to build a more transparent and effective global food system, using hyperspectral technology.

We are creating a software platform, which will provide information about the quality and characteristics of different foods non-invasively and rapidly, using image recognition and predictive learning.


  • The food industry has to a large extent become mechanised, but not information-enabled. It is yet to benefit fully from the explosion in digital technologies we’ve seen impacting other sectors
  • A third of all food produced in the world is wasted, totalling around 1.3 billion tonnes a year
  • Food fraud costs the global economy upwards of $40 billion per year
  • If we reduced the amount of food wasted around the world by 25%, there would be enough food to feed everyone on the planet


Quality Control

Every object in the world has a unique spectral fingerprint or signature. We are building a library of different foods’ spectral signatures in order to enable food businesses to more accurately identify products and predict their quality attributes. Food production processes can then be continuously monitored, guaranteeing consistency and quality of every unit.


We are using cutting edge hyperspectral imaging technology, which combines the power of digital imaging with a chemical technique called spectroscopy, allowing us to access information far beyond visible light. Hyperspectral imaging collects and processes information from across the electromagnetic spectrum by measuring how light is reflected at hundreds of continuous wavelengths.


This new information will help food businesses to:

  • Increase quality control in food processing
  • Make more informed decisions about suppliers and products
  • Prevent waste, improve yield and optimise supply chain processes
  • Store and track product information over time and remotely
  • Deliver higher quality products to consumers


ImpactVision’s first product is a package: firstly, a camera that allows a user, such as a beef producer, to get hyperspectral data from food products i.e. beef, based on certain important parameters, such as pH, a strong predictor for freshness, tenderness and colour.

Secondly, our software which interprets the data and sends back relevant, actionable information to the user for decision-making on various aspects of food quality. With this data, food producers can rapidly determine attributes, facilitating real-time decisions and preventing food waste from occurring.

Get in touch, if you are a beef producer or food retailer interested in finding out how our technology can integrate into your supply chain processes.



Hyperspectral sensors are rapidly decreasing in size and price. Within a few years they will be available at a consumer level, integrated into devices such as smartphones, empowering people to see beyond the borders of human vision.

Food quality will then be assessed in real-time in supermarkets and restaurants, and ImpactVision will play a key role in building the food system of the future.


Abi Ramanan


Food Entrepreneur, founder of two food businesses

Gustav Nipe


Computer Programmer, background in information security

Erik Lönroth

Computer Scientist

Experience with high performance computing

Alexandra Booth

Image Scientist

Experience with computer vision, machine learning, motion picture science

Jackson Roland

Image Scientist

Experience with developing imaging software features and standards, ex-Imatest

Rachael Gan

Business Development

Experience with finance and business strategy, ex-Goldman Sachs



We’re looking for partners in the food industry to build hyperspectral solutions across different products. If you’re interested in viewing our demo or would like more information, please get in touch!