Swiss AI engineering company ( Zürich area — 2026 )

Scale Systems

Scale builds AI products, agents and automation for companies that need complex workflows turned into governed, measurable operating systems.

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Swiss AI engineeringDE-ZH / EN / FR / ITMeasurable AI pilots

AI operating system

Agent orchestration for business workflows

Custom software, tools, memory and governance in one measurable interface.

Automation yield 92%

Live architecture

CRMERPDocsAI AgentTeam

Pipeline

01 Intake docs, mail, CRM

02 Agent reasoning + tools

03 Review human approval

04 Sync ERP + reporting

Agent log

09:41 Hermes classified 28 requests live

09:43 OpenClaw generated escalation brief review

09:46 CRM enriched with verified company data done

01 AI

AI products

From concept to launch: interfaces, backends, models and workflows that make generative AI usable by real teams and customers.

02 OPS

Operational automation

We connect CRM, ERP, documents, email and databases. Less repetitive work, more control over processes and data.

03 AG

Installed agents

Consulting, setup and governance for Hermes, OpenClaw and custom agents: security, procedures, memory and monitoring.

Clients and sectors

Manufacturing /Hospitality /Financial operations /Real estate /Professional services /Retail & e-commerce /Public sector /B2B sales /Manufacturing /Hospitality /Financial operations /Real estate /Professional services /Retail & e-commerce /Public sector /B2B sales /

Executive narrative

An AI company should feel ready for the boardroom.

Pitch sequence

01 Why now

AI is everywhere. Operating systems are not.

Companies already have tools, data and fragmented workflows. Value appears when agents, software and governance become one operating layer.

Ops process before prompt

02 What we build

Products, agents and automation inside real work.

We design interfaces, backends, integrations and AI agents with clear roles, audit trails and metrics the business can read.

AI from pilot to product

03 How it scales

Measurable pilots, then durable platforms.

We start from a high-impact workflow, validate value and risk, then harden architecture, adoption and PESO distribution.

90 days to first release

Product index

Owned products, not only consulting.

( 01 / Products )

Scale develops an owned product ecosystem: AI SaaS, media delivery, recording infrastructure and operational live streaming.

01 / AI-OPS

Optima

AI business cockpit

Multi-tenant platform for project management, clients, tasks, quotes, time tracking, AI content and business control.

Active development management and decision support

AI workflowsClient dashboardQuote automation

02 / PHOTO

Lumis

Event photo commerce

SaaS for event photographers: uploads, protected galleries, photo sales, secure downloads and live import from camera to gallery.

Product build photo delivery

Secure galleriesLive importPayments

03 / REC

Buffr

Operating queue

System for structuring inputs, content, assets and recurring requests into a readable operating queue.

Product system operating control

Input controlPriority flowHuman review

04 / LIVE

Live Control Room

Remote live production

Distributed sports production with field control, broadcast graphics, sponsor moments and output for live, delayed and social formats.

Field tested live production

Live controlBroadcast graphicsSponsor moments

Swiss system

Less noise, more execution

( 02 / Evidence )

Operating languages

0/7

Automated workflows

90-day AI pilot

Single partner

Capabilities

What we build

( 03 / Capability index )

AI products, custom software and automations. We enter real workflows, design robust architectures and leave systems that work.

AI Agents & Advisory

Consulting, setup and governance for AI agents across customer operations, documents, sales support, knowledge bases and connected business systems.

AI Automation

Automations connected to CRM, ERP, email, documents and databases to reduce repetitive work, manual errors and untracked handoffs.

Custom Software

Web apps, internal platforms, dashboards and integrations designed around real operating processes.

AI Strategy

Assessment, roadmap, governance and enablement to bring AI into the company with clear priorities and operating metrics.

Explore services

On stage

OpenClaw / Hermes: putting agentic practice on stage.

( 04 / Authority )

04 June 2026 OpenClaw / Hermes talk

On 4 June 2026, a Scale partner will talk about OpenClaw and Hermes from the operating side: agent roles, governance, controls and automation that need to hold up beyond a slide.

For now, this section works as a field note. After the session, we will replace the visual direction with photos, frames and material from the talk.

Discuss AI agents View AI Agents

01 Scale partner

AI agent ops

TALK conference talk

Experience

Sectors we know

( 04 / Sector index )

Sector context is not a portfolio claim: it shows where we already understand data, operations and decision logic.

Quinto della Luna
Embassy
NoleggioBar
Banshi
Élite SPA
Casa Rossa
Manuel Romanin
Level Up
Dancelife
Reformer
Avis
Homnia Verona
Black&White
Marocco Dreams
Fiumedica
Fiumove
Locanda di Gio
Crystal
Adimo
Banca della Marca
Marina Sunset
Nabilah

How we work

Scale method

Technical discovery

We read the workflows, systems and friction points. Then we separate what deserves AI from what first needs simplification.

Architecture & roadmap

We define stack, integrations, controls and ownership: what to automate, what remains with the team, what must be measured.

Operational pilot

We put a bounded version into controlled production, with logs, feedback and clear success criteria.

Controlled scale-up

When the pilot holds, we expand the system: training, maintenance, security and continuous improvement.

PESO method

Move AI out of the demo.

We use PESO as an operating model: an AI product, agent or custom system has to be understood, adopted and maintained inside real workflows.

PESO x Scale How it becomes operational

01 Pilot inside a team

02 Useful documentation

03 Targeted distribution

04 Proof and references

P CPL, pipeline, conversion rate

Paid

Targeted acceleration

Budgets and campaigns validate message, audience and demand. We test offers, demos, landing pages and specific use cases.

Demand generation
LinkedIn and search ads
Technical landing pages
Use-case A/B tests

E Trust signal, mention, referral

Earned

External authority

Technical outcomes become trust through partners, mentions, references, reviews and content outside owned channels.

Partner ecosystem
Verified case studies
Vertical PR
References and reviews

S Engagement, usage, adoption

Shared

Adoption and community

Value grows when teams, stakeholders and clients understand the system. Shared means enablement, shareable demos and feedback loops.

Internal enablement
Demo content
Team feedback
Partner advocacy

O Traffic, retention, owned data

Owned

Owned assets and data

The base stays controlled by the company: product, website, knowledge base, CRM, automations, documentation and operational datasets.

Product UX
AI knowledge base
CRM and lifecycle
Documentation and data

PESO x SCALE

From pilot to daily work

An AI pilot only matters if it survives the presentation. We turn it into workflows, interfaces, documentation, sales material and measurable signals for the next operating decision.

01 Use case with an owner 02 Sales and enablement material 03 Data governance 04 Continuous measurement

What we actually measure

Hours recoveredCycle timeTeam usageReusable knowledge

Process first

AI under control

Software that stays useful

Automation inside real work

Process first

AI under control

Software that stays useful

Automation inside real work

( 06 / Contact )

Bring AI into real operations?

We start with a short consultation, map opportunities and constraints, then define a measurable pilot for your organisation.

Book a consultation