One AI layer across every system

Your agents stop being limited to their own system’s data.
We unify what lives across your stack, so every agent works from the whole picture.

scroll to see how it works

01/The layer

Your systems already hold the data. maqia is the layer that unifies it: agents that work across multiple systems, run on your business’s own language, and do the work end to end, with dashboards the team opens every day.

What we are

A layer on top of the systems you already run.

  • Nothing changes in your systems. We read and write through their own interfaces.
  • Hands-on. The people writing the code are in the room with you.
  • Depth in procurement, payables, inventory and goods receipt.
  • Built around PACT, our Pinpoint, Assess, Create, Test method.
What we deliver

Custom agents and the dashboards they run in, live on real work from day one.

  • Models, agents, integrations and dashboards shaped to your data and workflows.
  • Live deployments carrying real transactions, measured in production.
  • Ongoing evolution: retraining, extending and adapting as the business changes.
  • A long-term partnership. The system stays with you, evolving as you grow.

02/On what you already run

SAP, Oracle, Dynamics, Cegid PHC and Primavera, plus the MES, WMS, SCADA and in-house systems beside them. Mapped, stable and in production: one line, opened in days.

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/The semantic operating layer

Each system is getting its own AI.Only maqia sees across all of them.

Your ERP's assistant makes your ERP better. Work that crosses two systems still lands on your team.

Every connected system feeds one model of your business. maqia reads it, reasons over it in your own terms, and writes actions back into the source of record.

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03/maqia Stratum

maqia Stratum is what every build starts from: the agents that do the work, and the dashboards your team runs them from. Both shaped to your operation, on your data.

maqia AI Stratum

Your AI system.

Every process, agent and dashboard, built for your operation.

ProcessYour workflows, modeled from how the operation actually runs.
DataYour records, schemas, constraints and history.
AgentsAgents with one job each. Match this invoice, route this approval, chase this supplier.
DashboardsBuilt for the role that uses them: the buyer, the approver, the controller.
FOUNDATION

Custom, and live in weeks.

We don’t start from zero: design system, retrieval, integrations, roles and audit are already built and proven.

01Design System50+ components, tokens and patterns, themeable to your brand.
02Foundational AIEmbeddings, retrieval, classification, summarization.
03IntegrationsERP, MES, WMS, SCADA and more.
04Roles & AccessMulti-tenant, RBAC, audit trails, SSO from the start.
05ConversationalChat, agent surfaces, forms, document viewers.

04/The PACT method

Every agent we put in the layer goes through the same four steps, measured against real ROI.

Find the real problem that's costing money.

Sit with the people who do the work and follow the process across every system it touches. The rekeying, the waiting, the rework at each handoff: that is where the friction lives, and each one is a candidate.

OutputYour AI roadmap, prioritized by cost-of-today.
Every initiative is already on the roadmap. Pick up the next ones and run them in parallel as each is proven.

05/The CLI

maqia is CLI-first, so your engineers stay in control: scaffold real systems, open stable ERP connections, and trace any run from the command line.

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01

Build

Scaffold real, deployable systems in a single command. A working service you can run right away.

02

Connect

One line to your ERP. A stable, mapped connection to live data, opened in one line.

03

Debug

Replay and step through any run, right inside the IDE or coding agent your engineers already use. Full visibility, so your team fixes issues fast.

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06/Industries

Where the work is operationally complex and the data is real, maqia turns tangled processes into working systems.

07/Get in touch

A thirty-minute call to find where the friction is.

We start with a proof of concept on one process that still runs on manual work and ship agents and dashboards that show the efficiency gained.

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