About Scale
AI engineering from Switzerland. Real workflows, measurable systems.
Scale is a Swiss AI engineering company based in the Zürich area. We design AI products, operational automation, agents and custom software for companies that want AI inside real processes.
We work across business, operations and technology: technical discovery, architecture, controlled release and scale-up. The expected output is not a presentation, but a governable, documented and measurable system.
SCALE
Swiss AI Engineering
Team
People, product and delivery
A team with a Swiss focus: strategy, operations, software architecture and business development for AI systems in production.
Edis Bali
CEO & Co-Founder
Strategy, positioning and development of Scale’s Swiss presence.
Paolo Aileni
COO & Co-Founder
Delivery, operating processes and coordination between advisory, engineering and clients.
Axel N. L. Fleureau
CTO & Co-Founder
Software architectures, AI product interfaces, integrations and production-ready systems.
Omar ElKharroubi
Business Development
Business development and translation of company needs into Scale solutions.
Capabilities
Four areas, one system
AI agents, automation, custom software and advisory work together to turn complex processes into scalable systems.
AI Agents & Advisory
Hermes, OpenClaw and custom agents
Consulting, setup and governance for AI agents connected to processes, tools and company knowledge bases.
AI Automation
Workflows connected to business systems
Automations for CRM, ERP, email, documents and databases: fewer manual steps, more operating control.
Custom Software
Tailored digital products
Web apps, dashboards, portals, integrations and internal tools designed to scale with the organisation.
AI Strategy
Roadmaps and measurable pilots
Use-case analysis, stack, vendor, security and adoption planning to turn AI ideas into concrete delivery.
Scale method
From process to system
We start from real workflows, design governable architectures and release a controlled first version before scale-up.
Technical discovery
We map processes, data, constraints and operating goals before proposing technology.
Architecture
We define stack, integrations, governance, human roles and security criteria.
Operating pilot
We release a controlled, measurable first system used by the real team.
Scale-up
We extend automations, agents and software with monitoring, documentation and internal enablement.
Operating principles
How we decide
We use AI and software only where work becomes clearer, faster, more controllable and measurable.
Technical pragmatism
Technology matters when it reduces friction, idle time or operating risk.
Governance and security
Every agent needs clear permissions, memory, audit and responsibility.
Client ownership
Code, documentation, processes and assets remain controllable by the client.
Operating measurability
Every project needs a baseline, KPIs and clear signals of improvement.
Numbers
Our operating focus
Operating capabilities
First reply
Swiss focus
Bring AI into real workflows?
Tell us where work gets stuck: within 72 hours we reply with an initial technical and operating read.
Switzerland, Zürich area - Swiss AI engineering company