LLM integration for business software

An impressive AI demo isn’t enough.

Analyse images, extract information from an email, assist your users: we integrate LLMs into your business software. From the first test on your data to production requirements: reliability, privacy, cost and monitoring.

Discuss your use caseExplore the work

Start with a task that matters.

Information to re-enter, photos to examine, recurring questions: we start with work that needs doing. Together, we define what an integration should improve and how to evaluate it.

  • Build inventories from photos: identify objects and estimate their value.
  • Extract relevant information from enquiries received by email.
  • Answer users’ questions from existing content.

From photos to inventories. From emails to useful information.

Les Chauffeurs de Rémy

Extracting details from transport enquiries

Transport enquiries arrive by email. socraft integrated Mistral, hosted on Infomaniak’s sovereign infrastructure, to extract the relevant details and specific requirements.

  • Mistral
  • Infomaniak
Read the write-up (in French)

in-vent

Building inventories from photos

socraft integrated the OpenAI and Anthropic APIs to identify objects in photos, estimate their value and build inventories.

  • OpenAI
  • Anthropic
Read the write-up (in French)

socraft.io · Internal project

Answering visitors’ questions about socraft

A chatbot built with Chatbase and a training dataset answers visitors’ questions about socraft.

  • Chatbase

What matters after the demo.

  • Data

    We document what is sent, to which provider and why. Model and hosting choices take your constraints into account, including sovereign options hosted in Switzerland.

  • Response quality

    Testing on your data helps establish whether the results are suitable for your use case.

  • Human review

    We define which decisions need oversight and how AI fits into your process.

  • Operations

    Reliability, security, costs and monitoring are addressed as part of production planning.

Test the value. Build the integration. Prepare for production.

  1. 1

    Use case

    Identify the process to improve, the expected value and the evaluation criteria.

  2. 2

    Prototype

    Test on your real data before committing to integration.

  3. 3

    Integration

    Connect LLMs to your existing software or a custom application.

  4. 4

    Production

    Prepare deployment and monitoring: reliability, security, costs and results.

Was your prototype written by an AI?

It works in a demo, but you wouldn’t put it in front of customers yet. We take over the code, add tests and security, and make it reliable.

See Prompt to Product

Frequently asked questions

What AI features can you build into our software?

Analysing images, extracting information from an email, answering users from existing content. We did it for in-vent (inventories from photos) and Les Chauffeurs de Rémy (transport enquiries received by email).

Can our data stay in Switzerland?

Model and hosting choices take your constraints into account, including sovereign options hosted in Switzerland, such as Mistral at Infomaniak. We document what is sent, to which provider and why.

How do we know the AI’s answers are reliable?

We test on your real data before committing to integration, to establish whether the results suit your use case. We also define with you which decisions need human oversight.

Where do we start?

With a task that matters: a process to improve, the expected value and the evaluation criteria. The free 30-minute AI diagnostic is there to identify it with you.

Which process deserves a first test?

Tell us about the task, the data available and what you want to improve.

Book a free AI diagnostic