your virtual food lab

See Food Solver in action...
Shelf-Life Modelling

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A food formulator integrating mathematical modelling and AI powered optimisation so you can solve to what matters for your business.
01 / intuitive
  • Designed by food technologists and scientists  

  • Highly efficient and user friendly

  • Applicable across the entire spectrum of food research & development

  • Seamlessly apply the most complex scientific discoveries to new product development

02 / versatile
  • Fully flexible and customisable materials database, with infinite depth and infinite breadth

  • Core technology built to cover all product formats and processes

  • Project team based architecture means complete freedom to work free from system administrators

03 / powerful
  • Expand formulations across multi-dimensional state, with customisable inputs

  • Create mathematical models using the Python powered Food Solver Language (Food Slang)

  • Chain multiple models together, leading to truly revolutionary product development

  • Use the AI powered Solver to meet custom set targets on any number of data and model outputs

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features

01 / integrated predictive modelling

  • Bring scientific models to the forefront of your product development

  • Input an unlimited number of models and share across the entire organisation

  • Instantly bring your most complex research outputs to the fingertips of your product development team

modelling examples

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protein denaturation

sweetness dynamics

predict the level of required components in your product after processing based on ingredient inputs prior to processing, such as functional proteins.

relate the concentration of sweetening molecules and sugars in your formulation to predict sweetness response.
Formulate your sweetened product to more closely match a specific profile, such as sucrose

02 / smart model stacking

  • Stack models together to give truly revolutionary results

  • Use outputs from one model as an input in the next

  • For example: predicted water activity is used to calculate the rate constant for vitamin degradation

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water activity

predict water activity based on concentration of key components

vitamin degradation

predicted water activity influences the rate constant of vitamin degradation
As the formulation changes, the water activity changes, as does the rate.

03 / linked data tree structure
  • Raw material data is stored in a unique structure of linked data trees

  • Material categories and composition trees are fully customisable with unlimited data points and levels

  • Instant access to a massive amount of data on your formulations composition and its exact source

  • Formulate your products to more closely meet nutritional, regulatory and claim based requirements

  • Instantly check the regulatory and nutritional statues of your formulation, or create a calculation to do it for you

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04 / multi-dimensional formulations

  • Your products do not exist in a singular instance, nor should your formulations

  • Place your formulation in an unlimited number of states, each with customisable inputs

    • ​Create shelf-life studies by setting states with differing storage conditions

    • Optimise processing conditions to achieve the composition, sensory and functional properties

    • Create mass-balances and compare the composition of each resulting stream

  • Compare state outputs side by side
  • Graph any number of outputs between any two states to see the changes happening in your product

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05 / AI powered solver
  • Let the AI formulate your solution

  • Food Solver is built on its state of the art Solver/Optimisation System

  • Fully integrated, fast, intuitive and powerful

  • Find solutions across different formulation states. for example: find a formulation which meets targets at end of shelf-life​​

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05.1 / ingredient set-up

  • Easily select ingredients to be changed and those to be 'locked'

  • Directly compare the solution to the original formulation​​

05.2 / targets and constraints

  • Solve to any component or calculation/model output, and

  • Solve to any formulation state

  • Set targets or a range

  • Assign priority to targets to guide the AI to a more desirable solution

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Please note: all data displayed - including formulations, composition, costs and models - on this site are for demonstrative purposes only. All data and data relationships presented are purely theoretical.

 
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about us

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OUR STORY

Founded by experts in the field of food and data science. Food Solver was established to bring advances in data science to the world of food R&D.

We identified that while food science and technology has progressed rapidly, the tools to utilise this have been lagging behind.

Food Solver is a revolutionary new product which brings the most advanced data science tools to the fingers of food researchers and product developers worldwide.

OUR VISION

Our vision is to create a highly intuitive and intelligent system which supports food developers and scientists of all experience levels.

Our product aims to unify research outputs with product development. 

Putting powerful mathematical modelling and machine learning at your teams fingertips.

Helping you create the impossible foods of the future.

OUR TECHNOLOGY

Our advanced cloud based creation platform is intuitive, versatile and powered by our proprietary Food Solver engine.

Integrated models are created and customised with Python using our Food Solver Library.

Based on a shared team project structure, ensure only your team members have access and editing rights to your formulas and materials.