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AI ROBOTIC KITCHEN ASSISTANT

The first smart robotic arm built for everyday cooking.

ST Bionics is building a kitchen-safe robotic arm that sees, thinks and assists like a human, taking over the most repetitive and stressful parts of cooking.

$100–200k Pre-seed we are raising to productize the prototype
6–9 mo. Planned runway to a pilotable consumer device
MVP Working robotic arm that already executes real cooking tasks
Kitchen robots
ST Bionics
AI Kitchen Robotics
VISION & MARKET

We are building the culinary co-pilot missing from every smart home.

People are overwhelmed by daily cooking decisions while existing “smart” devices stay passive and fragmented. Our robotic arm is the first hands-on assistant designed to live next to your stove, not inside an app.

Tens of B$ Smart-home & kitchen market, growing ~20% annually
Tech-savvy Home chefs, foodies & robotics fans as early adopters
B2C → B2B From home kitchens to show kitchens & culinary schools
WHY NOW

Everyday cooking is still manual, stressful and time-consuming.

Pain today

  • Choosing and preparing balanced meals takes too much time and mental energy.
  • Cooking becomes a repetitive chore that leads to frustration and decision fatigue.
  • People struggle to use ingredients they already have at home.
  • Constant monitoring of pots and pans distracts from work, family and rest.
  • Existing “smart” tools are passive and fragmented — they do not truly assist like a human.

Solution — S&T Bionics Hand

  • Smart robotic arm designed specifically for kitchen assistance.
  • Autonomously lifts cookware off the stove at the right moment and prevents overcooking.
  • Checks food readiness using stereo vision and intelligent sensors.
  • Interacts with its environment using dynamic 3D reconstruction and sim-to-real training.
  • Voice-controlled and connected to an AI assistant that plans balanced meals from what you already have.
AI robotic arm Hands-on assistant Built for real kitchens
PRODUCT VISION

AI-powered kitchen co-pilot, starting with a robotic arm.

What the final product will do

  • Handle everyday tasks: moving pots and pans, adding ingredients, stirring and turning off heat.
  • Monitor cooking in real time and take cookware off the stove when food is ready.
  • Propose balanced menus from available ingredients and dietary preferences.
  • Act as a voice-first cooking consultant that talks you through recipes step by step.
  • Learn from thousands of kitchens so every user benefits from a global cooking brain.

Intelligence under the hood

  • Global AI trained on real cooking scenarios and community recipes.
  • Personalization engine that builds balanced menus from what’s in your fridge.
  • Stereo and depth vision for robust 3D perception of utensils, cookware and food.
  • Sim2Real pipeline that lets us train complex behaviors safely in simulation.
  • Cloud analytics for safety monitoring, software updates and product optimization.
Sim2Real Stereo vision Voice-first
CONCEPT DEMO

How the fully realized assistant will feel to the user.

What you see in the video

  • AI kitchen assistant that not only talks, but physically helps with cooking tasks.
  • Robotic arm that handles cookware and ingredients around a standard stove.
  • Seamless handoff between digital recipe planning and physical execution.

This video illustrates the end-state experience we are building toward: a safe, intelligent co-pilot that turns any ordinary kitchen into an interactive, automated space. We are raising a $100–200k pre-seed round to evolve our current MVP into this integrated product and prepare for early user pilots.

MVP / CURRENT CAPABILITIES

From simulation to real-world boiling-water cooking tasks.

Our prototype already executes a complete task end-to-end in a real kitchen: detect a pot, wait for water to boil, find an egg and drop it into the pot — fully autonomously.

What our prototype already does today

  • Sim2Real training pipeline that transfers skills from simulation to a real robotic arm.
  • Stereo machine vision that detects cookware, ingredients and their precise 3D positions.
  • Real-time recognition of object states such as “empty pot / water / boiling water”.
  • Robust manipulation primitives: pick, lift, move, place and drop to specific zones.
  • Autonomous multi-step action sequences chained into a single cooking behavior.

Next steps (6–8 weeks)

  • Add force-feedback gripper for safer, more precise food handling.
  • Expand object and material vocabulary beyond the current set of pots, eggs and basic utensils.
  • Generalize from the egg-boiling scenario to multiple simple recipes.
  • Integrate higher-level planning, error recovery and safety checks around heat sources.

This MVP proves that low-cost autonomous cooking is technically feasible today on off-the-shelf hardware. We are now focused on reliability, safety and user experience to reach pilot-ready status for early adopters and partners.

TODAY'S MVP

What the current robot hand can already do in the kitchen.

Perception & reasoning

  • Understands the 3D scene using stereo cameras and depth estimation.
  • Locates cookware, ingredients and target areas on and around the stove.
  • Recognizes changes in water state to detect when it starts boiling.

Manipulation skills

  • Grasps and lifts objects like pots, lids and eggs.
  • Moves items between defined zones with repeatable accuracy.
  • Places or drops objects into the right container at the right time.
Stereo vision State recognition Pick-and-place
TECH TODAY

Prototype architecture that scales into a product.

Core stack

  • Machine vision models for object and state detection in the kitchen.
  • Sim2Real learning pipeline for motion planning and control.
  • Modular software that can drive different robotic arms over time.

Business model foundations

  • Hardware: affordable robotic arm designed for countertop installation.
  • Software-as-a-Service: premium AI features, recipes and continuous upgrades.
  • Long-term partnerships with appliance brands and culinary institutions.
Hardware + SaaS API-friendly Partner-ready
MVP DEMO

Autonomous egg-boiling task in a real kitchen.

What you see in the video

  • The robotic arm searches for and localizes the pot on the stove.
  • It monitors the water until it detects a stable boiling state using vision.
  • It finds an egg in the environment, picks it up and positions it above the pot.
  • It safely drops the egg into the boiling water with no human intervention.

This is not a simulation — it runs on our current prototype system. With a $100–200k pre-seed investment, we will harden the hardware, improve safety and reliability, and expand from this single task to a library of everyday cooking skills ready for early adopters and show-kitchen pilots.