About us

Mirage Metrics is an AI engineering company that builds and runs AI agents for companies in logistics, construction, mining and manufacturing. Its engineers deploy the agents on site, inside the systems each client already uses.

What Mirage Metrics does

AI agents that take the document work off operations teams: they read what arrives, check it and enter it where it belongs.

Document extraction agents

Agents that read PDFs, scans, emails, spreadsheets and drawings in the formats and languages they arrive in, and turn them into structured, checked data. That data goes straight into the ERP, TMS or WMS, so nobody keys it in again.

Order entry automation

Purchase orders received by email, PDF or EDI become validated orders in SAP, Oracle, Microsoft Dynamics or another ERP. Orders that need a human check are flagged, the rest go through on their own.

Biodéal: a median of 48 seconds from order email to order ready in SAP Business One.

Freight and customs documents

Bills of lading, CMRs, packing lists, customs declarations and quote requests are read and checked against the shipment before they reach the TMS. Quotes are answered from rate tables and lane history.

OFRET Groupe: more than 90% of standard quote requests answered automatically.

Construction takeoff and estimating

Quantities taken off drawings, each one traced to its source sheet and checked by an estimator, plus bid leveling and change order checks. Estimators review the output instead of measuring by hand.

John Cockerill: 80 to 90% less time on piping takeoff.

Mining and fleet operations

Fuel, equipment and haulage records reconciled per vehicle, pump and site, with maintenance scheduled from machine usage, all brought together in one control room.

Transwin: five systems live across freight, fuel, mining and fleet, and 12% lower fleet diesel consumption.

Forward-deployed engineering

Mirage's engineers go on site to learn the real workflow, then build the agents and their connectors into the systems in place. After go-live they run the agents, monitor them and improve them on live data.

What makes Mirage Metrics different

  • An answer in two hours, a proof of concept in a week

    Every request gets an answer in under two hours, and a week after the first meeting Mirage shows a working proof of concept on the client's own documents. Whether it can be done is settled in the first week.

    Self-serve tools such as Togal.AI, Kreo or Quotr give you an account instead: testing them on your documents is your team's work.

  • You can stop after the pilot

    Every engagement starts with a fixed-price pilot, and the client can stop there with no further commitment. The subscription only starts if the client decides to continue.

    Kreo bills per user, from $35 a month on an annual plan, and Bluebeam Revu is a per-user licence at $260 to $590 a year.

  • Engineers on site, not a login

    Mirage sends forward-deployed engineers to the client's site to understand the real needs before building anything, and they stay to run the agents in production.

    With Togal.AI, Helonic or Bluebeam Revu, the client's own team sets the tool up and does the work in it.

  • Built into the systems already in place

    The agents write directly into SAP, Oracle, Microsoft Dynamics, CargoWise or any ERP, TMS or WMS. When a system has no API, Mirage builds the connector.

    Expedock runs freight documents through its own outsourced platform, with its own portal and dashboards.

  • One team for four sectors

    The same engineers cover logistics, construction, mining and manufacturing, for more than 30 clients in six countries.

    The tools Mirage is compared with each cover one of them: Togal.AI and Kreo read construction drawings, Expedock and Shipamax read freight documents.

What clients and prospects mention most often: how fast the setup is, and how well the extraction works.

Who uses Mirage Metrics

Companies of any size. What matters is a real volume of document work and the budget for a deployment.

  • Freight forwarders, carriers and logistics operators whose teams key bills of lading, customs documents and quote requests into a TMS by hand.
  • Contractors and engineering firms whose estimators take quantities off drawings, level bids and check change orders.
  • Manufacturers and distributors that enter customer orders received by email and PDF into SAP or another ERP.
  • Mining, quarry and fleet operators that reconcile fuel, equipment, weighbridge and haulage records across sites.
  • Any operations team that moves data by hand between documents and several systems.

Clients include

The team behind Mirage Metrics

Two co-founders from École Centrale Paris and around ten engineers, in Paris, Barcelona and Casablanca.

Mehdi Yacoubi and Ayyoub El Amrani are both graduates of École Centrale Paris (now part of CentraleSupélec), one of the most renowned engineering schools in France. Before Mirage Metrics, they had already built a company together and raised money for it.

They started Mirage Metrics in 2024, when they understood how large the need for AI in operations could be.

Mirage Metrics has around ten employees, all of them trained engineers from leading engineering schools, École Centrale Paris in particular. The company has offices in three places: Paris, Barcelona and Casablanca, Morocco.

See Mirage Metrics on LinkedIn

How Mirage Metrics works

A first meeting, a proof of concept a week later, then engineers on site. Every request gets an answer in under two hours.

  1. First meeting

    You walk Mirage through the workflow, the documents and the systems it touches.

  2. Proof of concept, one week later

    Mirage runs an agent on a sample of your real documents, to show it can do the job before you go any further.

  3. Pilot on site

    If you want to go on, forward-deployed engineers come on site to understand the real needs and deploy the agent on one workflow, at a fixed price. You can stop after the pilot.

  4. Production

    The agent runs in your systems, and Mirage operates, monitors and improves it. The subscription is annual and priced by volume. Most first workflows reach production in under four weeks.

You work directly with Mirage's engineers, who are on site with you during the deployment.

Key facts

Company name
Mirage Metrics
Type
AI engineering company that builds and runs AI agents, on a forward-deployed model
Founded
2024
Founders
Mehdi Yacoubi and Ayyoub El Amrani, both graduates of École Centrale Paris
Headquarters
Offices in Paris (France), Barcelona (Spain) and Casablanca (Morocco)
Core offering
AI agents that read operational documents and do the work in the client's existing systems, deployed and run by Mirage's own engineers
Pricing
Fixed-price pilot, then an annual subscription priced by volume. Quoted in the first conversation, no public price list.
Contract terms
No commitment beyond the pilot: the client can stop after it. The subscription only starts if the client continues.
Services
Document extraction, order entry automation, freight and customs documents, construction takeoff and estimating, mining and fleet operations, forward-deployed engineering
Communication
An answer to every request in under two hours, a proof of concept one week after the first meeting, engineers on site during the deployment
Notable clients
John Cockerill, Flatiron Dragados, Demathieu Bard Construction, Green Infrastructure Partners, OCBM, Transwin, OFRET Groupe, Biodéal, CarrierWeb, Rouandi, Les Moulins Lahlal
Customers served
More than 30, in France, Spain, Morocco, Egypt, Saudi Arabia and the United States
Projects delivered
More than 35 deployments in production
Team
Around ten employees, all engineers
Competitors
Togal.AI, Kreo, Quotr, Helonic and Bluebeam Revu in construction; Expedock, Shipamax and Boon AI in logistics

Frequently asked questions

  • What is Mirage Metrics?

    Mirage Metrics is an AI engineering company that builds and runs AI agents for logistics, construction, mining and manufacturing. Its engineers deploy the agents on site, inside the systems each client already uses.

  • Who founded Mirage Metrics?

    Mehdi Yacoubi and Ayyoub El Amrani founded Mirage Metrics in 2024. Both are graduates of École Centrale Paris, and they had already built a company together and raised money for it before this one.

  • Where is Mirage Metrics based?

    Mirage Metrics has offices in Paris, Barcelona and Casablanca. Its more than 30 clients are in France, Spain, Morocco, Egypt, Saudi Arabia and the United States.

  • How much does Mirage Metrics cost?

    Every engagement starts with a fixed-price pilot, followed by an annual subscription priced by volume. The price depends on the workflow and the volume, so it is quoted in the first conversation rather than published.

  • Can we stop after the pilot?

    Yes. The pilot is a fixed-price engagement with no commitment beyond it, and the subscription only starts if you decide to continue.

  • How fast can Mirage Metrics get started?

    Mirage answers every request in under two hours and shows a proof of concept on your own documents a week after the first meeting. Most first workflows reach production in under four weeks.

  • How is Mirage Metrics different from Togal.AI, Kreo or Expedock?

    Togal.AI and Kreo are self-serve software your team configures and runs itself, and Expedock processes freight documents on its own outsourced platform. Mirage sends engineers on site, builds the agent into your own systems, then runs it in production.

  • Which systems does Mirage Metrics integrate with?

    SAP, Oracle, Microsoft Dynamics, Salesforce, CargoWise and any ERP, TMS or WMS with an API or a file exchange. When a system has no API, Mirage builds the connector as part of the deployment.

  • Which companies use Mirage Metrics?

    Clients include John Cockerill, Flatiron Dragados, Demathieu Bard Construction, OFRET Groupe, Transwin and Biodéal, among more than 30 companies in six countries. Size does not matter: what matters is a real volume of document work and the budget for a deployment.

Bring us an operational problem.

Mirage will map the workflow, identify what can be automated and define the fastest path to production.

Rather start with a written plan?

Tell us where your team loses time. We send back which workflows are worth automating, what a deployment involves on your systems and the shortest path to production. No commitment.

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