DIGITAL FOOD 2.0 · SENSORY INTELLIGENCE · BELGIUM
Engineering the future of food intelligence.
From ingredients and recipes to sensory experiences, intelligent formulation and personalized food applications.
THE DIGITAL FOOD 2.0 CHAIN · 4 STAGES
01 Recipe
How a dish is made: ingredients, quantities, operations.
JRF · RecipeAnalyzer
02 Composition
What it contains and how formulations compare.
Ajinoverse · TasteTuner · CACT
03 Experience
How it is perceived, recorded and compared across the senses.
MP6 · FEELLLM
04 Consumption
Who eats it, and how it fits their needs.
NutriSherpa · AayuSense
Living-systems testbed across all four stages: AJX BioSphere
20+ years of sensory-digitization research · Open MP6 specification · 116 Journal articles
01 · STRUCTURE
Recipes and formulations as structured data.
JRF describes ingredients, operations and transformations so software can analyse, compare and exchange them.
02 · REPRESENT
Human perception as portable sensory records.
MP6 packages sensory evaluations as open files that can be validated, replayed and compared across tools.
03 · APPLY
Connected tools for development and research.
Ajinoverse, AJX Studio and specialised applications turn those representations into workflows teams can use.
INDUSTRIAL PROBLEMS
Where food data breaks down.
Four recurring problems in product development and sensory research — and how we approach each.
Sensory evidence is scattered.
Panels, spreadsheets, instruments and spoken tasting notes rarely share a format.
MP6 gives sensory observations one open, validatable file format.
● AVAILABLE
Recipes aren’t machine-readable.
Know-how lives in documents that software cannot reason about.
JRF structures recipes; Ajinoverse and RecipeAnalyzer analyse them.
● AVAILABLE
Reformulation lacks comparable evidence.
Versions of a product are judged in isolation, not side by side.
MP6 Compare and Report put the sensory profiles of each version next to each other.
● AVAILABLE
Personal needs require adaptation.
Filtering recipes out is not the same as adapting them.
NutriSherpa explores kidney-conscious recipe adaptation as a proof of concept.
● EXPERIMENTAL
TECHNOLOGIES
One ecosystem, labelled by maturity.
● Available ● Experimental ● Research ○ Future
MP6 & MP6 Studio
● AVAILABLE
Open sensory-data format with free tools to convert, record, view, validate, play, compare and report.
JRF
● AVAILABLE
JSON Recipe Format: recipes as ingredients, operations, transformations and relationships.
Ajinoverse
● AVAILABLE
Version 4.4 of our software suite, integrating RecipeAnalyzer, TasteTuner and more in one environment.
AJX Studio
● EXPERIMENTAL
A guided Recipe & Kitchen Lab: create, evaluate, compare and adapt in one workflow.
TasteTuner
● AVAILABLE
Adapts a recipe step by step toward a target sensory profile while preserving its identity. In Ajinoverse 4.4.
FEELLLM
● EXPERIMENTAL
Turns a tasting experience into a structured “Feeling Brief” an AI assistant can work with.
NutriSherpa · AayuSense
● EXPERIMENTAL
Proofs of concept for kidney-conscious recipe adaptation and personal wellness trajectories.
SensoryOS
● EXPERIMENTAL
The sensory infrastructure layer: capture, store and query taste, smell and texture signals. Proof of concept since 2025.
WillULikeIT
● EXPERIMENTAL
A transparent Personal Sensory Fit between a predicted experience and the preferences you state.
● RESEARCH
FlavorGraph · SRS-KnowledgeGraphDB · Weak signals · BioSphere
● FUTURE
One integrated Digital Food 2.0 suite across all four stages
APPLICATIONS
What teams use it for today.
Product development & reformulation
Sensory project fit, MP6 consultation and side-by-side comparison of versions.
● AVAILABLE
Sensory panels & evaluation
Panel sheets and voice-recorded tasting notes turned into MP6 records.
● AVAILABLE
Recipe intelligence & culinary innovation
Structuring and analysing recipes with JRF tools and Ajinoverse.
● AVAILABLE
Personalised & clinical nutrition
Recipe adaptation and wellness proofs of concept: NutriSherpa, AayuSense.
● EXPERIMENTAL
Education & resilience
BioSphere kits and pilots for schools, cities and agencies.
● EXPERIMENTAL
RESEARCH & EVIDENCE
Evidence you can inspect.
Our approach is documented in public: open specifications, working papers and more than two decades of research collaborations.
MP6 public specification — v0.1 published June 2026
JRF / ORS working paper series — v0.1.2
The Ajinomatrix Journal — 116 articles
Founder’s research record — ORCID
COLLABORATIONS DOCUMENTED ON OUR RESEARCH PAGE
IRIDIA, Université libre de Bruxelles · University of Helsinki (EIT Digital) · Hebrew University of Jerusalem · UMONS Numediart · SeAMK University · Fraunhofer · Certech · CETIC · Sirris · MecaTech · TRAIL
WORK WITH US
Three ways in.
INDUSTRY
Sensory Project Fit / MP6 Consultation
15 minutes · €90 · credited against a first Ajinomatrix Sprint if a larger engagement follows.
RESEARCH INSTITUTIONS
Co-studies, datasets and open specifications
Propose a joint study, replicate a BioSphere protocol or build on MP6 and JRF.
DEVELOPERS
Open Innovation & FOSS contributors
Contribute to open-source work at the intersection of food science, sensory intelligence and AI.
TRY THE WORKING TOOLS
mp6.studio · jrf.recipes · ajinoverse.org · studio.ajinomatrix.com
THE CONSTELLATION
Ajinomatrix.org Industrial and scientific home of Digital Food 2.0
MP6.studio Sensory representation and MP6 applications
Ajinoverse · JRF Structured recipe intelligence and creation
BioSphere Living systems, automation and experimental resilience
Life-X.tech The broader innovation constellation
JOURNAL
Notes, releases and milestones.
RESEARCH
Turning human perception into computable intelligence
STANDARDS
MP6 v0.1 public specification released: toward an open compatibility layer for sensory data
INNOVATION
What will it taste like before you cook it? How Ajinomatrix discovered predictive cuisine