Food, beverage and ingredient companies have led global food innovation but still depend on the same manual tools used in the 1980s. While most industries digitised their R&D, food application development continues to rely on spreadsheets, disparate systems and paper records.
It transforms the food innovation process from reactive problem-solving to continuous, data-driven improvement; connecting every element of product design, from formulation to sensory validation, through the Food-Specific AI Assistant within one secure and intelligent environment.
It centralizes every formulation, result, and report into one structured data framework that the AI can understand and reason over.
Use digital workbench for product & process design with statistical, modeling, and Design of Experiments (DOE) tools to cut wasted cycles.
Connect human feedback with machine learning for continuous refinement, improving market adoption and product quality through sensory-in-the-loop validation.
Balance cost, compliance, sustainability, and nutrition without compromising taste or texture; guided by the Food-Specific AI Assistant that recommends optimal trade-offs across parameters.
Empower teams across locations while keeping data fully siloed and protected, with access and context managed through the AI Assistant.
High ingredient costs
Unlock institutional knowledge to identify lower-cost alternatives without compromising quality
Reduce ingredient costs through AI-driven optimisation
Inefficient reformulations
Test faster with AI-powered formulation insights and predictive modelling
Cut reformulation cycles and identify top-performing concepts earlier
Regulatory risks
Build traceable formulation history with automatic documentation of every change and data source
Strengthen audit readiness and reduce time spent on manual reporting
Knowledge trapped in silos
Integrate sensory, formulation, and knowledge data into one secure system
Accelerate development with consistent, data-backed decision making
Unsuccessful launches
Collaborate securely across teams to adjust formulas quickly under new conditions
Achieve faster, evidence-based launches with fewer costly failures
When ingredient prices surge, reformulate without compromising quality.
Centralises every recipe, process, and result for reference.
Models cost impact in real time.
Validates that replacements match flavour and texture.
Analyzes previous formulations and recommends optimal substitutions based on data and sensory similarity.
Cut ingredient costs while maintaining sensory parity.
Reduce cycle time from concept to shelf by connecting data, people, and tools.
Streamlines recipe design and prototyping.
Keeps every trial result searchable and traceable.
Closes the loop between human and machine validation.
Accelerates ideation and decision making with intelligent experiment design and context-aware insights.
Achieve faster time to market.
Create products that succeed in the market by achieving the perfect balance of taste, texture, cost, and quality.
Connects data from past projects to guide smarter formulation decisions.
Models ingredient and processing trade-offs to achieve optimal sensory and economic performance.
Translates consumer preferences into measurable product targets, ensuring every formulation performs in the real world.
Analyses past outcomes and market feedback to recommend precise, data-driven improvements that increase acceptance and success.
Launch products consumers love, optimized for flavor, cost, and performance from day one.
Turn decades of R&D into usable, structured intelligence.
Connects unstructured archives into one interpretable dataset.
Reuses validated formulations.
Builds on past test data for better accuracy.
Uncovers patterns and connections across projects to spark innovation.
Prevent repetition, shorten ramp-up, and boost innovation efficiency.
Centralise every formulation, result, and report into one structured data framework the AI can understand and reason over.
