Workforce automation, made practical

Know exactly which work robots can do in your business, then make it happen.

We help hospitality and retail teams understand their work, build trustworthy training data and integrate physical AI around the people who make the business run.

Swiss-based. Swiss-quality.

Illustrative service description; outcomes depend on the task, environment and technology selected.

Illustration of people and a robot working together as operational tasks are mapped.
Illustrative task map — tasks are assessed before automation is recommended.

Start with the work

Make a clear decision before you buy a robot.

Rising operating pressure does not make every task a good automation candidate. Start with evidence from your own sites and teams.

[XX%]

Labour pressure

Replace with a sourced, dated Swiss industry statistic before publication.

Placeholder — source required.

[CHF X]

Cost per task

Understand the cost, time and variation in each repeatable task.

Illustrative placeholder — not a customer result.

[X sites]

Real-world variation

Capture differences between shifts, locations, layouts and service standards.

Placeholder — replace with verified data.

A practical path

Three stages, grounded in your operation.

We are technology-neutral. A finding that a task is not ready for automation is a useful outcome.

01 / UNDERSTAND

Map & Quantify

Map roles, shifts, locations and timed tasks. Build a cost-per-task case and assess technology readiness.

What you get: task map, baseline, prioritized opportunities and readiness assessment.

Explore the task audit →
02 / PREPARE

Generate Data

Capture demonstrations, teleoperation, video and sensor data, or simulate tasks in your environment.

What you get: a scoped, quality-checked data plan with ownership and privacy defined.

Explore data generation →
03 / INTEGRATE

Integrate

Design pilots, safety and staff onboarding with clear monitoring, KPIs and scale-up gates.

What you get: a vendor-neutral pilot plan and a route to operational adoption.

Explore integration →

Clear, usable outputs

Leave with a decision, not another slide deck.

Every engagement is tailored to the operational question and the evidence available.

See the approach
  • Role, shift and site task maps
  • Timed task baselines and cost-per-task model
  • Technology-readiness assessment and assumptions
  • Data-collection, consent and anonymisation plan
  • Pilot design, safety measures and success criteria
  • Staff communication, onboarding and scale-up gates

Where we work

Different environments. The same respect for the work.

Examples are illustrative; feasibility requires an assessment of each workplace.

Human-first by design

Automation should improve the work, not obscure it.

We involve staff early, make task data transparent and look for ways to reduce repetitive or physically demanding work. We do not promise that every pilot will succeed, or that technology replaces the need for good jobs and management.

“Better automation starts by listening to the people doing the work.”
Working principle — no customer quotation implied.

Why Switzerland

Careful work in a demanding environment.

We aim to bring precision, neutrality, data protection and reliability to physical AI decisions, with respect for social partnership and compliance obligations.

Learn about our principles →
  • Document assumptions and evidence
  • Keep customer data access controlled
  • Make vendor selection independent
  • Involve staff and their representatives
  • Plan for safety, privacy and accountability

A practical first step

Start with a no-obligation discovery call.

Tell us about your sites, tasks and questions. We aim to reply within two business days.