Culture-tech that gives AI a palate—building the brain for robotic kitchens

Building TongueSign®, an AI-native predictive taste intelligence engine that learns what people will crave next and turns taste into decisions—and eventually into cookable execution.

Kokumi Technologies Private Limited
AI · Food · Robotics
Powered by our patent-filed concept: the Universal Flavour Equation.

Food is the final frontier for AI

AI has learned language, images, and code. Food is harder—because taste is culture + chemistry + context + emotion + memory.

Kokumi is building the missing layer:
a taste intelligence system that understands what humans love—and can reproduce it, personalize it, preserve it, and deliver it anywhere.

When taste becomes computable, food becomes programmable

Here's what we unlock as TongueSign® evolves into the taste brain for robotic kitchens:

When taste becomes computable, food becomes programmable

Preserve cuisines forever

Codify heritage dishes so they never fade

End hunger, cut waste

Adaptive cooking and smarter distribution

Cook-to-your-taste machines

Vending kitchens that personalize on demand

Medical-grade personalization

Health-first diets that still taste great

A social food graph

Share tasteprints, recipes, and discoveries

Homemade food, trusted at scale

Community exchange networks

Remote food R&D

Test flavors across markets without physical labs everywhere

Web restaurants

Digital-first brands with consistent outcomes

Food as art

Create, version, and share edible experiences

Disaster-ready food infrastructure

Rapid, resilient provisioning anywhere

World cuisine at global events

Authenticity delivered at scale

Taste in space

Personalization under extreme constraints

Flavor becomes an app

Taste as an interface you can navigate

"Save" a meal

Portable taste files you can replay anywhere

Cook what you watch

Turn cooking shows into home-ready outcomes

This is not a food app vision. It's a civilization-layer vision.

Food innovation is expensive because the signal stack is broken

Brands still bet on product and menu decisions using signals that are:

  • Delayed (sales explains yesterday)
  • Biased (surveys/focus groups aren't real eating)
  • Noisy (social chatter ≠ consumption)
  • Too coarse (taste shifts by region, occasion, season, format, price)

At the same time, eating decisions are deeply contextual:
eating what, where, and why—and that "why" is where innovation wins or fails.

Outcome: low hit-rates, slow learning loops, and missed demand pockets.

TongueSign® — predictive taste intelligence built for decisions

TongueSign® converts consent-based signals into privacy-first, anonymized, aggregated intelligence that answers, with decision-grade clarity:

  • What flavors are rising next—and in which formats?
  • Which snack directionality will win this season and why?
  • Which QSR LTO will work in which clusters—and what should change?
  • What are people eating, where, and why—and what does that unlock?

Not a trend dashboard. Not a research report.
A decision engine designed to plug into innovation workflows.

WHAT WE BUILD (TODAY)

TongueSign® for Brands

A modular suite for:

  • Craving Forecasts (early signals + directionality)
  • Flavor Trajectories (evolution across occasions and formats)
  • White-Space Mapping (unmet demand pockets by region/segment)
  • Concept & Claim Diagnostics (go/no-go + refinement)
  • Launch Intelligence (pre/post learnings, faster iteration loops)
  • Optional API (select enterprise partners)

aaloo.ai

A playful, high-signal experiential foodie community that captures meal moments and strengthens TongueSign® over time—because culture lives where people eat.

Three pilot questions that map to repeatable revenue

12-month headline outcome: convert pilots into subscriptions.

Flavor directionality

What's rising next (notes, formats, segments), and where do the demand pockets form first?

Eating what, where, why?

Turning everyday meal context into structured intelligence: occasions, motivations, and repeat loops.

QSR LTO localization

Which LTO concepts win in which city/cluster—and how should taste, format, and messaging adapt?

Patent filed: Universal Flavour Equation

We have filed a patent anchored around the Universal Flavour Equation—our foundational approach to representing taste in a way that enables prediction, comparison, and decisioning across cultures and contexts.

We treat trust as defensibility: consent, anonymization, aggregation, and governance are built into the system.

The brain for robotic kitchens

Most automation executes recipes. Kokumi's vision is to execute taste.

TongueSign® becomes the intelligence layer that bridges:
cravings → decisions → recipes → execution → feedback → learning

That's how you get robotic kitchens that:

  • cook for individuals, not averages
  • preserve cultural authenticity and still personalize
  • adapt nutrition without sacrificing delight
  • standardize excellence at scale—anywhere

Built at the intersection of AI systems + food culture

Kokumi's edge is a cross-functional build:

  • AI/ML & applied research: predictive modeling, representation learning, evaluation harnesses
  • Full-stack & platform: pipelines, product systems, enterprise dashboards, APIs
  • Qualitative research: mapping human taste language to structured, learnable frameworks
  • Food advisors: chefs/flavor experts to anchor sensory validity and cultural authenticity
  • Ops & partnerships: pilot delivery, enterprise procurement readiness, ecosystem alliances
  • Marketing & advertising intelligence: taste → segmentation → positioning → performance loops

We believe food is the last great "human" domain for AI.
Kokumi is building the bridge.

Interested in investing or piloting?

We keep the public site intentionally focused; deeper materials are shared directly with aligned parties.

Email: investors@kokumitech.com & partnerships@kokumitech.com