Etixio

AI in your SaaS

AI in your product,without technical debt.

Natural language search, summaries, document extraction: we build the AI features your customers will actually use, inside your code. Data isolated per customer, cost tracked per customer, quality measured on every release.

Example features:

Built-in assistantNatural language searchDocument extractionSummaries

AI bolted on in a hurry

  • A feature to keep up with competitors

    Announced, rarely used, because it sits outside the user journey.

  • Poorly isolated data

    The risk of mixing two customers’ data.

  • A bill that grows with usage

    Model calls eating into your margin, with no view per customer.

  • Guesswork quality

    Answers checked by hand, then not at all.

A real product AI feature

  • In the right place in the journey

    Search, summaries or extraction where users already work.

  • Data isolated per customer

    User permissions applied to every request, access logged.

  • Cost tracked per customer

    The right model for each step, usage that fits your pricing.

  • Measured quality

    An evaluation set replayed on every change, user feedback tracked.

Our method

A first feature, built like the rest of your product.

  1. Step 1

    Choose the use case and prototype it

    User journeys, data, models compared on real examples: we pick the feature that brings real value and estimate its cost per customer.

    DeliverablePrioritised use case, cost per customer estimated

  2. Step 2

    Build and integrate

    AI service, API, interface, multi-tenant handling, access rights, logs and tests: the first feature is delivered at a fixed price, inside your code.

    DeliverableFeature in production, code and tests

  3. Step 3

    Run and evolve

    Quality, error and usage monitoring, progressive rollout per customer, then new features with your team or ours.

    DeliverableEvaluation set and usage monitoring

Scoping deliverables

A chosen use case.An estimated cost. An integration plan.

  • The choice of your first AI feature, based on your users’ journeys.
  • An estimate of the running cost per user or per customer.
  • An integration plan for your product (multi-tenant, access rights, evaluation), at a fixed price.

Let’s talk about your product.

Tell us what your software does and which AI feature your customers expect. A technical lead will get back to you to prepare a tailored conversation.

  • Natural language search
  • Summaries and drafted replies
  • An assistant built into the interface

What happens next?

  1. A technical lead reads your request and gets back to you.
  2. We talk for 30 minutes about your product and your users.
  3. We propose scoping for a first feature, with its scope and price.

Prefer to talk it through?

Mathieu BernardCo-founder · CTOBook a call

About you

Your project

How many customers use your product?
Your priorities

Your information is only used to contact you about your project.