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Cases · Named clients

We don't tell you what we can do. We show you what we have already done.

Each case is a system we built for a real company. It is running today, and a product grew out of it.

Legal Document search engine
Consumer goods Price and presence observatory
Financial Performance platform for sales networks
Invoicing In-house proof
  • Still from “The red ribbon”: among the thousands of documents in the firm’s archive, the brief that was being searched for, found.

    Legal

    Gómez Tejedor Abogados

    A law firm with over three decades of practice

    The problem
    The firm's accumulated knowledge lived in folders and in the memory of whoever had handled each matter.
    What we built
    A system that makes that knowledge findable in seconds, for the whole team.
    The change
    From depending on who happened to be in that day, to the firm's know-how always being at hand.
    AI?
    Yes, and this is where it shines: intelligent search over the firm's own documents.
    Headline metric
    From hours to seconds.

    See the full case Now a product: Precedentes

  • Still from “The shelf speaks”: price tags on a supermarket shelf, with one item on promotion.

    Consumer goods

    San Benedetto

    A consumer goods group

    The problem
    They found out how their category and their competitors were moving when it was already too late to react.
    What we built
    A system that reviews the market every Monday and flags on its dashboard what moved that week.
    The change
    From reacting late, to getting there first.
    AI?
    Where it helps: reading and classifying large volumes of market data.
    Headline metric
    From a partial snapshot to the market every Monday.

    See the full case Now a product: Lineal

  • Still from “PIP: the data that arrives late”: the dashboard with the week’s activity, above the sales network that records it.

    Financial & advisory

    OVB

    A financial advisory firm with its own sales network

    The problem
    Management learned how its sales network was performing at month end, when nothing could be corrected anymore.
    What we built
    A system that shows the performance of the whole network the same day, not in a report weeks late.
    The change
    From steering by the rear-view mirror, to deciding with today's picture.
    AI?
    No. The value was in ordering the data and making it visible, not in adding AI for its own sake.
    Headline metric
    A working day a week, returned.

    See the full case Now a product: PIP

  • Still from “The two ends”: an invoice with its QR code, linked by a red thread to the stack of invoices at the other end.

    Invoicing

    In-house proof: AIdvance's own invoicing

    The problem
    The new invoicing rules force changes, and many companies are told they have to change software.
    What we built
    A system that meets the new invoicing rules without forcing a change of tools, and we tested it first in our own company.
    The change
    From “I have to change software to comply”, to complying without breaking what you already use.
    AI?
    No. Here regulatory rigor rules, not AI.
    What makes it unique
    We do not sell it without using it. Our own invoicing already complies with Royal Decree 1007/2023.

    See the full case Now a product: Veri*Factu

Each of these four systems grew into a product of our own.

See the products

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