Enterprise · Manufacturing
Make your manufacturing more efficient with AI
An AI operating system inside your plant: fewer hours lost to paperwork, faster answers on the floor, processes that run the same way every shift.
For progressive manufacturers of 50–500 people; operations, quality, engineering
What gets in the way
Where the hours go today
- Engineers and managers spend hours on reports, specs and supplier paperwork
- Knowledge lives in a few heads and in documents nobody can search
- Data cannot leave the building, so cloud AI tools are off the table
First solutions
What runs on day one
The first solutions we deploy on your ecosystem — each one shaped to your processes during the engagement.
Drawings, specs and standards answered with the source page attached.
Non-conformance reports structured, routed and tracked.
Who you are about to depend on, checked before the order.
The day's status from your own systems, in one page.
Private search over your documents, inside your perimeter.
Next: New automations added by your team and its AI agents, without outside contractors.
Service + product
How the ecosystem works
Every offer runs on the same machine: three layers, deployed inside your perimeter, run by your people.
Where your team works: solutions, alerts, cases, reports.
Where AI agents are built, tested and improved — by your team.
Your processes, digitised: who does what, person or agent, and how it is checked.
On-premise, inside your perimeter; you choose the models.
Your team runs it, together with its AI employees; new automations without outside contractors.
Built for progressive manufacturers
Our focus is progressive production teams who want to become measurably more efficient through AI transformation, without handing their data or their operation to a black box.
Scattered tools, slow back-office, knowledge stuck in people.
One operating system your team owns — running inside your walls.
Where we start — by industry
Progressive manufacturers across these fields feel the AI gap first. Each gets the same on-premise ecosystem, tuned to its operations — and the operating system is built from your context, not a fixed template. Other fields on request.
Drone and UAV makers, components, and defense-tech shops — AI workflows for engineering docs, supplier and counterparty checks, compliance trails, and production ops, all on-premise.
Cleantech, batteries, and energy-hardware manufacturers — automate procurement, supplier due diligence, and quality and reporting workflows with AI that runs inside your infrastructure.
Automation, robotics, and precision-manufacturing teams — put AI agents on production planning, quality, and back-office ops so your people focus on the hard engineering.
Electronics assembly and hardware makers — AI for BOM and document handling, supplier and part intelligence, and traceable quality and compliance workflows.
EV and mobility-hardware manufacturers — streamline engineering, supply, and after-sales operations with on-premise AI tuned to your lines.
New-materials and industrial-equipment makers — AI-native back-office and front apps for orders, quality, and knowledge that stays in your team, not in silos.
A full ecosystem, deployed in your infrastructure
Not a single tool — a complete front + back-office + back-system bundle, assembled for your operation and running on-premise.
Ready-to-run solution agents for real production, supply, quality, and back-office tasks — assembled to your processes.
User-facing apps and dashboards the team actually uses, with generative-UI views tailored to each role.
An internal control layer that runs, monitors, and improves the workflows — the same operating model that runs Actual Armor.
Connect the tools, data, and channels your operation already runs on — extended as new connectors ship.
Draw on the full AA Group toolbox — OSINT and due diligence, narrative and reputation intelligence, and more — where it fits your case.
Run your own LLMs and dedicated models inside your infrastructure, so sensitive data never leaves the organization.
An operating system built from your context
We build your system on top of an operating-system template and your own context — so it fits how your production actually works, and can flexibly expand as you grow.
- We build your operating system from your context and our operating-system template
- Almost any functionality from across AA Group products can go into the bundle
- The system grows with you — extend workflows, connectors, and models over time
- You own the deployed asset inside your own infrastructure
Support that runs the transformation with you
A real transformation takes time, so alongside the platform we offer a flexible annual support package — dedicated capacity from our team to carry the work with your people.
A flexible annual support package: allocated hours from our team — people and agents — to actually run the transformation, not just hand over software.
We staff with our own people — or hire and set up a workspace in almost any country, train the team, and hand them off into your staff. We've done this before.
We strengthen your in-house team where you need it and reduce your risk — you build lasting internal capability, not a dependency.
In return, the transformation works best when you commit predictable, dedicated resources on your side for at least a year — anywhere from a few people to a small team, part- or full-time. We scope the support package and the shared plan with you directly.
How the engagement works
A simple, ownership-first model: license the platform, deploy it, and stay current — with the details scoped together.
A full ecosystem of front + back-office + back-system solutions and supporting assets, licensed to run inside your own infrastructure.
We stand the system up in your infrastructure — or your own team does it from our guides if you have the resources.
From the second year, access to everything we build across AA Group — new connectors, models, solution workflow-agents, and generative-UI variants — flows into your update packages.
We scope license, deployment, support and terms with you directly.
- Scope, integrations and security properties are confirmed per plant, not promised up front.
- The system signals and documents. People decide.
- On-premise / private by design — your data stays in your infrastructure
- Private preview — first engagements are early-partner programs, not a public launch
- AI-assisted operations support human decisions — not a certified or autonomous replacement for them
Proof: two operating systems already deployed in isolated infrastructure.
Markets
Manufacturing by market
Talk to us about Manufacturing
Tell us about your team and where the manual work hurts most. On the call we walk through the ecosystem, the first solutions and how the engagement would be scoped for you.