Application engineering
Customer-specific task sequences, perception and business-system connections using your approved SDKs and interfaces.
InstaRobotInstaRobot
FOR ROBOT MANUFACTURERS & PRODUCERS
InstaRobot
for producers
You build the machine.
We help make it work for the customer.
Extend your platform with customer-specific programming, AI-assisted task learning, deployment guidance and ongoing support. From a defined customer brief to a validated application.
Humanoids, quadrupeds, mobile and specialist systems. Access, compatibility and safety assessment come first.
Turn hardware capability into customer applications
Add integration capacity without replacing your engineering team
Build a consistent handover and support experience
THE APPLICATION LAYER AROUND YOUR PLATFORM
More than a demo.
A customer-ready scope of work.
Bring us a platform and a customer use case. We can scope the programming, task-data workflows and operating support needed around your hardware.
Demonstration-to-data workflows
Computer vision, recorded video and demonstrations help structure task stages, object interactions and training-data preparation.
Capture operator knowledge
Turn spoken task explanations into procedure drafts, annotations and engineering requirements for review.
Installation-specific AI guides
Operating instructions, approved troubleshooting and escalation guidance tailored to each customer’s machine and task.
Customer and integrator onboarding
Practical training, task handover and clear acceptance criteria so customer teams know what the installation is designed to do.
Deployment and ongoing assistance
Discuss installation support and 24/7 online assistance backed by regional technicians, with responsibilities defined in the service agreement.
AI-ASSISTED LEARNING
See the task.
Capture the know-how.
Develop and validate.
Video, camera observations, audio instructions and demonstrations can accelerate preparation and iteration by giving your engineers structured task information. We help connect that information to an agreed application-development workflow.
01
Collect with permission
Agree the task, recording conditions, data rights and the platform interfaces available to the project.
02
Prepare for engineering review
Organize observations into task stages, labels, requirements and procedure drafts; evaluate data quality before training.
03
Test against agreed criteria
Review outputs and validate the programmed application within manufacturer limits before customer handover.
Start with one platform.
One task. One pilot.
A focused first project gives both teams clear deliverables before discussing a broader rollout. Commercial terms, customer relationships, branding and service responsibilities are agreed together.
What to bring to the first conversation
- Platform/model, specifications and operating limits
- SDK/API documentation and permitted integration access
- A customer task, site conditions and success criteria
- Target markets, warranty terms and support responsibilities
Your platform’s boundaries remain in place.
Manufacturer authorization, accessible interfaces, data rights, warranty restrictions and safety validation determine feasibility. AI learning outputs and guides never authorize motion or bypass safety-rated controls. No universal compatibility, deployment timeline or quantified learning gain is promised.
The engineering scene above is AI-generated illustration, not a customer deployment or an available model.
Let’s discuss your platform.
Tell us what you manufacture and where your customers need application engineering, task learning or deployment support.
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