Ajinomatrix has reached an important milestone in the development of the MP6 sensory data standard. Plus - 17,000+ views later, the experimental MP6 ecosystem has expanded from its first public converter into a seven-tool Studio for capturing, converting, viewing, validating, playing, comparing and reporting sensory data. We are pleased to announce the first public release of MP6.app, a set of tools featuring a free online converter designed to help food, beverage, sensory sc

We Spent It Questioning How Food Is Understood. An October 2026 reflection on five years of invention, sensory intelligence, and the first signs of a market beginning to listen. There comes a moment in a founder’s journey when the question changes. For years, the question was: Can we build it? Then: Can we make it work? Eventually, a more uncomfortable question arrives: Does anybody actually care? At Ajinomatrix, we have spent approximately half a million euros over the lifet

Ajinomatrix pre-announces the architecture behind its next generation of sensory intelligence For years, digital food innovation has been remarkably good at counting things. Calories. Protein. Sugar. Salt. Ingredients. Purchases. Ratings. Recipes. But food is not a spreadsheet. We prepare it. We experience it. We like or reject it. We consume it in a particular quantity, place and moment. It has a physical and chemical composition. It belongs to cultures. It affects our habit

There are ghosts in technology. Some are forgotten products.Some are ideas that arrived twenty years too early.Some refuse to die. And some come back for Halloween. At Ajinomatrix, we still haven’t delivered iSmell 2.0 to Apple. Yet. But while Cupertino somehow keeps surviving without a smell port, we did manage to resurrect another delicious piece of digital history: the spirit of Firefly AI. Only this time, it doesn’t want to know which song you’ll like. It wants to know: W

Digital food innovation has spent years talking about AI, prediction, personalization and smarter R&D. Ajinomatrix is taking a different route: build the tools, publish the methods, open the workflow — and let people use it. Today, our recipe-to-perception workflow is live and open. Two connected online studios now let anyone move from a recipe to a structured process, from that process to a sensory preview, and from that preview to the real experience after cooking. The work

A recipe experiment exposed a missing bridge between structured recipes, sensory simulation and what people actually perceive after cooking. Image: the flowchart of predictive cuisine by Ajinomatrix online JRF+MP6 Studios - you can enlarge it! We were not trying to invent a new field. We were trying to finish a drink. The starting point was a recipe recovered from a Facebook video: a fermented mixture of citrus, honey, ginger, herbs and spices carrying the memorable name “Eli

A recipe can travel as text. Can its meaning travel too? Recipes move between people remarkably well. A human cook reading “fold the whipped cream into the chocolate”, “reduce until thickened”, or “bake until done” supplies a great deal of knowledge that the document never formally states. We understand that melted chocolate and whipped cream are intermediate states. We understand that two preparations can happen in parallel. We recognize that a sauce produced halfway through

Ajinomatrix is best known for its work on sensory digitization: taste, smell, texture, recipes, product development, sensory profiles, and machine-readable representations of perception. But sensory intelligence does not stop at taste and aroma. Human experience also includes affective response: comfort, aversion, attraction, overload, anticipation, trust, uncertainty, memory, and emotional context. This is where FEELLLM enters the Ajinomatrix research landscape. What FEELLLM

For centuries, recipes have been among humanity’s most enduring forms of knowledge. They have crossed continents, survived generations, adapted to changing ingredients, and quietly documented the evolution of cultures. Yet despite their importance, the digital world still treats recipes primarily as documents. A recipe is usually represented as a title, a list of ingredients, and a sequence of instructions. Whether stored in a cookbook, a spreadsheet, a mobile application, or

Ajinomatrix has reached a new experimental milestone. For years, one of our core observations has been simple: sensory science, food R&D and product innovation have produced enormous amounts of valuable data — but much of it remains trapped in spreadsheets, scattered panel reports, archived trials, batch notes, recipe files and isolated product-development documents. A pile of past experiments is not yet a memory. To become useful again, sensory data must become structured, c

Ajinomatrix has published the first public MP6 compatibility profile, giving developers, sensory scientists and early adopters a stable reference for MP6-compatible files. Ajinomatrix has reached a new milestone in the development of MP6 Studio: the first public MP6 V0.1 specification is now available in our GitLab repository. MP6, short for Multi-Perception 6, is our emerging sensory data framework for representing food, beverage and product experience across six dimensions:

You Already Have Data. We Help You Decide What To Do With It. Food innovation does not usually fail because companies lack data. Most R&D, quality, innovation and product teams already possess more data than they can fully exploit: GC-MS analyses, sensory panels, texture tests, consumer studies, formulation trials, quality-control histories, chef feedback, benchmark comparisons, academic studies, pilot batches, and internal reports. The real problem is different. The data is

At Ajinomatrix, we have reached a point where the next step is no longer simply to develop isolated tools, proofs of concept, or application ideas. The next step is to consolidate a core. That core is what we refer to as Ajinomatrix Main : the internal scale-up axis through which our different technical, scientific, and experiential developments begin to converge into a coherent platform logic. For years, Ajinomatrix has explored a frontier that remains largely underbuilt in

Over the past years, Ajinomatrix has grown from an ambitious research vision into a functioning, patent-backed platform operating at the intersection of human perception, artificial intelligence, and living systems . Today, we are entering a new phase. The Ajinomatrix trajectory in a Nutshell... From Vision to Platform Human perception — taste, smell, emotion, multisensory experience — has long been considered subjective, elusive, and resistant to computation. At Ajinomatrix,

On stewardship of sensory quality and the ecosystem we share Prologue — in the language of symbols. In Japan, the ōkami (wolf) is not only a creature; it is a sentinel of mountains, harvests, and thresholds. In my own tradition, the archangel Gabriel stands for messages carried with precision and mercy. Between these motifs— guardian and messenger —Ajinomatrix sets out our intent for Japan: to help protect and elevate sensory quality across food & beverage and flavor & fra

Why taste-per-watt and biotope diagnose-assertiveness may become the two missing metrics of sustainable food, from controlled ecosystems to Industry 5.0 operations. A constraint-first origin story (the kind that doesn’t start in a lab) Ajinomatrix did not start BioSensei from a whiteboard. We started it from daily reality: pumps that don’t restart, batteries that drift, lux thresholds that decide whether a system lives or stalls, water parameters that look stable—until they d

We’re opening 2026 with an audacious creative challenge: co-create, with Chef Hiro, the most visually captivating sushi ever seen on social media—engineered with Ajinomatrix Sensory-AI. Chef Hiro needs no introduction to food lovers online. With 2.2 million followers, collaborations ranging from world-class luxury brands to top media, and a uniquely playful rigor, he has turned culinary craft into global entertainment. At Ajinomatrix we share that spirit: in 2025 we wired fla

2025 marked a structural shift for Ajinomatrix: we moved from research into demonstrable delivery across three layers— infrastructure (SensoryOS), applications (TasteTuner/Recipe Analyzer), and open education (BioSphere syllabus). As of our Founder FGW : Infrastructure — In September, SensoryOS reached proof-of-concept maturity, establishing the primitives to capture, store, and query taste/smell signals with the same rigor used for images and audio. It is our foundation fo

We are proud to announce that the first opus of the Ajinomatrix story is now published . This book marks a significant milestone—not as an endpoint, but as a moment of crystallization. It documents the origins of Ajinomatrix, the intellectual and ethical architecture behind the project, and the long arc that has guided its evolution from early research into a pre-unicorn-level vision. At its core, this publication is about readiness : readiness of ideas, of structure, and of

If you’ve followed Ajinomatrix for a while, you know we’ve always treated taste as a first-class engineering signal . In 2025 we decided to make that stance unambiguous: wire our micro-ecosystems to sunlight and schedules, measure the watts , and relate them—cleanly—to what truly matters: flavor, freshness, and human delight . This isn’t a pivot. It’s us doing what we’ve always done—now with a sharper toolkit and a clearer story—for the food & beverage and flavor & fragrance