01
MVP MODULE
AI Recipe Optimiser
Explore formulation alternatives against nutritional, sensory, technical and cost constraints.
Candidate formulations and fit scores
Explore the workflow Loading content…
FOOD SCIENCE. CONNECTED INTELLIGENCE.
AI Food Innovation Copilot helps food R&D teams optimise recipes, accelerate prototype development and convert consumer feedback into evidence-based product decisions.
Take the interactive demoPROJECT / TRC-001
Prototype A
78% fit$0.68/LCompare candidatePrototype B
91% fit$0.72/L RecommendedPrototype C
83% fit$0.61/LCompare candidateBest overall balance · requires R&D validation
A connected view. From formulation to consumer insight.
Food R&D teams
Food scientists
Culinary innovators
Startups & SMEs
THE OPPORTUNITY
Good knowledge exists. Too often, it lives in disconnected places.
Repeated formulation trials. Slow prototype cycles. Consumer insights that never quite connect to the next decision.
One connected workflow.
From product requirement to validated prototype.
FROM QUESTION TO EVIDENCE
A shared thread through every stage. Explore the journey below.
Define the consumer, product ambition and practical constraints.
V1 demonstrates brief → formulation → prototype comparison → consumer insight. Physical validation and commercialisation remain professional activities.
THREE FOCUSED MVP MODULES
MVP MODULE
Explore formulation alternatives against nutritional, sensory, technical and cost constraints.
MVP MODULE
Turn physical trials into structured learning. Compare every iteration with the evidence beside it.
MVP MODULE
Connect consumer responses to the next product decision, with clear evidence and improvement priorities.
Future exploration: historical shelf-life data, storage conditions, packaging, formulation risk and experimental validation support. Predictive modelling is a longer-term ambition.
REAL CHALLENGES. PRACTICAL WORKFLOWS.
Explore lower-sugar alternatives while protecting sensory acceptance.
Evaluate alternatives within formulation and sensory requirements.
Move systematically from product brief to prototype.
Support nutrition, cost, ingredient or regulatory-driven changes.
Make evidence-based comparisons between physical trials.
Identify preferences, sensory drivers and improvement opportunities.
EXPERTISE AT THE CENTRE
Useful decision support starts with knowing where technology helps—and where professional judgement is essential.
YOUR COPILOT
YOUR EXPERTISE
Future versions may preserve formulations, failed prototypes, ingredient changes, sensory and consumer results, expert decisions and experimental notes—so the learning stays with your team.
RESPONSIBILITY BY DESIGN
Customer formulations and project information remain customer data.
Critical decisions require authorised professional review.
AI-assisted recommendations are clearly identified.
Recommendations should show the evidence used.
These are product design principles, not claims of certification. V1 uses demonstration data and no external AI services.
BUILD IT WITH US
Help shape a practical copilot for real food-development challenges.
For food professionals, innovators and R&D teams.