Train around your task
Your products, containers, and movements become the starting point for teaching the robot.
A new hand in food production
Robotics for
the work behind
every meal.
We’re building robot workstations that learn your packing and placement tasks. Made for growing food manufacturers, with one team behind the training, setup, and ongoing support.
Built around your floor.
The next pair of hands
Trained for your taskDesigned for your workstationSupported beyond installation
01 / The work
Familiar tasks.
New possibilities.
The repeated movements behind a finished meal are our starting point. We focus on useful, well-defined tasks that fit into the way you already produce.
One movement. A useful difference.01 / 03
The right item. The right spot.
Prepared meals, produce trays, and repeatable placement tasks.
Small steps. A complete pack.02 / 03
Every component, in sequence.
Meal assembly, sauce inserts, and final packing steps.
A measured approach to filling.03 / 03
A portion with a clear target.
Product-specific filling, with weight or count checks suited to the task.
Our development focus. Each task is assessed and tested with the actual product, packaging, and production conditions.
02 / More than a machine
You know food.
We take on
the robotics.
Automation should come with the people who make it useful. Our approach brings the workstation, task training, and ongoing technical support together.
From first conversation to your floorFit the workstation
The arm, tooling, cameras, and layout are considered together, around the space and flow you have.
Stay with the operation
Setup, operator guidance, and technical support are part of the plan from the first conversation.
Improve as we learn
Use what each task teaches us to refine the workstation and prepare for the next product or process.
03 / From your process to our practice
Start with one station.
Build from there.
A practical path to automation starts with a specific job. We shape the workstation around that job, then earn the next step through testing.
- 01
Understand the work
Look at your products, pace, layout, and handling requirements. Choose a task with a clear outcome.
- 02
Teach the movements
Demonstrate the task on a robot workstation. Train around the variations that show up in your process.
- 03
Test the whole cycle
Check handling, consistency, cycle time, and where people need to step in, using representative products.
- 04
Introduce it together
Plan a supported introduction at your station, with operator guidance and a clear path for improvements.
04 / Close to the work
A global perspective.
A local starting point.
We bring software and machine learning expertise to the everyday work of food production.
Based between Palo Alto and Almaty, we’re building for medium-sized food manufacturers. Our ambition is practical: make useful robotics easier to bring into an existing workstation, one well-learned task at a time.
Palo Alto Almaty
A few things to know
Good questions.
A useful place to start.
What kind of production are you focused on?
Prepared meals, produce packing, and similar food assembly workflows. We’re interested in repeated picking, placement, and packing tasks at a defined workstation, especially for medium-sized manufacturers.
Do we need to change the whole production line?
Our starting point is a single workstation within your existing process. We assess the space, product presentation, cleaning needs, and handoffs with your team to understand what changes that task would require.
Are the workstations ready to install?
We’re developing and training our first food-handling workstations. Right now, we’re interested in conversations with manufacturers about specific tasks. Any introduction to a production floor follows task testing and a shared plan with your team.
What if our products or packaging change?
Adaptation is part of the approach. We assess the new product or pack, update the tooling or training where needed, and test the changed task before it enters the workflow.
Let’s start with your workstation
Show us the work.
Let’s take it from there.
What are you packing? How does the task work today? Tell us where an extra pair of hands could make a difference.
Discuss your workstation dana@ykenistik.com