anora.labs

The AI implementation partner for industrial companies.

Automations for critical processes, deployed in your infrastructure and integrated with the systems you already run.

Solutions

Automations for critical processes, with one objective: impact on the P&L.

Platform

Deployed solution by solution, on top of your systems. No migration.

Working model

Projects scoped to weeks, with a closed scope and budget. We stay until each workflow adds value.

The platform

One platform: data in, context, orchestration and execution.

  • Agents and operator apps, exposed through API and MCP.

  • Permissions per agent, approval policies per process, a full log of every run.

  • Structured data from every system, plus the decisions and rules that live in Excels, PDFs and people.

  • Connectors to the systems you already run. The ERP stays the system of record.

In practice

A delivery slips five days. The planner sees three options, one recommended, and applies it in a click.

The sourcing agent sends the RFQs on its own. A person approves the order. Every run is logged.

"Under 500 units per batch, sales approves" is stored once. Every agent and every person sees the same rule.

SAP orders, supplier emails and the planning Excel land in one place, without touching the ERP.

Runs in your infrastructure or ours, with the models you choose.Explore the platform →
Some of the systems we connect to
How we work

Problem by problem, alongside your team.

  1. 01Embed

    Our team works alongside yours, on your systems.

  2. 02Map

    Together we map the processes, the systems and the know-how that keeps everything running.

  3. 03Solve

    We start with the most critical process. Each one solved makes the next land faster.

The agents

Deployed where they are needed most.

Planning
  • Production planning
  • Monitoring
Operations & maintenance
  • Maintenance planning
  • Machine health
  • Knowledge capture
Procurement
  • Sourcing
  • Stock & reorder
  • Should-cost
Commercial
  • Quoting
  • Order intake
  • Tender
Every agent draws on the same context layer.All agents →
Case study

A bespoke manufacturer of metal and glass structures.

The problem

Quoting ran on memory, late into the owner's evenings. Purchasing was reactive, job by job. The know-how lived in people's heads.

What we built

Two agents on their existing systems: one drafts the quote, one runs the sourcing. Both on a context layer built from their archive, their people and their tools.

Quotes, with the drafts the agent prepared
Quoting agent · operator view
Purchasing board with the agent's recommendations
Sourcing agent · operator view
The team

A team that knows the factory floor and how to build AI systems that work. Anora comes from merging the two.

Next steps

Start with a half-day session at your plant.

Your processes on the whiteboard. You leave with a first scoped project and, within days, a business case to discuss internally.