World FIrst - alltogether: Kitchen Lab, Solar Loop, Symbiotic Taste - All for Space

Ajinomatrix unveils a self-sustained, AI-guided craft food pipeline — starting with a home growing pod

We’re building a space-grade, self-sustained craft-food pipeline with AI-guided, chef-grade self-evaluation — a symbiotic loop between cultivation and cuisine.

What we built

• A solar-assisted kitchen lab loop: home cultivation → chef-style prep → structured tasting → rapid feedback for the next grow.

• ABED (Always-Be-Eating-Data): a lightweight sensory method that captures hedonic liking, key intensities, and “Just-About-Right” (JAR) balance in minutes.

• Explainable outputs: clear spider charts and concise “chef cards” (temperatures, timings, salt/oil JAR) that anyone can replicate.

This is a space-analogue micro-production approach: resource-aware, reproducible, and designed for continuous improvement — from apartment kitchens to off-grid habitats.

First pilot: Pioppino with Shrooly

• Run window: 21 Jul → 20 Sep 2025 (61 days).

• Outcome: stealth fruiting despite the device going offline mid-run; excellent tasting with a silky cap, clean woody-umami profile, and only a lightly fibrous stipe (a little Apollo 13 taste...).

• Evidence: a single-subject radar (hedonic + intensities + JAR-closeness) that turns notes into data you can act on.

Why it matters

• Taste you can trust: not just “it’s good,” but why it’s good — and how to make it repeatable.

• From gadget to gastronomy: the device’s environmental snapshots link to what ends up on the plate.

• Design loop: tweak growth (FAE/temp windows) or prep (oil/salt/doneness) and watch the radar improve.

What’s next

• Scale from a pilot tasting to a small multi-taster panel.

• Publish chef cards per species for consistent delight.

• Explore co-labeling programs (e.g., “Taste Certified” modules) with device makers and quality institutes.

• Extend the loop to more species and formats (oyster, lion’s mane, functional beverages).

If you’re a producer or device maker: we can add a data-backed taste layer to your product experience without exposing raw telemetry. Aggregates and snapshots are enough to start.