<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "Service", "name": "AI solutions for foundries", "serviceType": "Artificial intelligence integration for foundries", "provider": { "@type": "Organization", "name": "StratIA", "legalName": "STRATIA CONSEIL SAS", "url": "https://strat-ia.fr", "address": { "@type": "PostalAddress", "streetAddress": "8 place Roger Salengro", "postalCode": "31000", "addressLocality": "Toulouse", "addressCountry": "FR" } }, "areaServed": { "@type": "Country", "name": "France" }, "description": "StratIA builds tailor-made AI solutions for foundries: part quality control, predictive maintenance of furnaces and stabilisation of casting processes.", "url": "https://strat-ia.fr/en/industrie/fonderie" } </script> <script type="application/ld+json"> { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://strat-ia.fr/en" }, { "@type": "ListItem", "position": 2, "name": "Industry", "item": "https://strat-ia.fr/en/industrie" }, { "@type": "ListItem", "position": 3, "name": "Foundry", "item": "https://strat-ia.fr/en/industrie/fonderie" } ] } </script> <script type="application/ld+json"> { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "How does AI reduce the scrap rate in a foundry?", "acceptedAnswer": { "@type": "Answer", "text": "AI inspects every part by vision (camera or X-ray) right out of the mould and identifies porosity, shrinkage and surface defects before finishing. The defect is isolated early and pouring parameters are adjusted before a whole batch drifts, which lowers scrap measurably." } }, { "@type": "Question", "name": "Can internal defects such as porosity be inspected?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. For internal defects invisible on the surface, AI relies on radiography or tomography: the model is trained to spot internal porosity and shrinkage on the images, with greater consistency than manual sampling inspection." } }, { "@type": "Question", "name": "Does AI adapt to small batches and many references?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. We build models that learn quickly from few examples and retrain when a new reference arrives. This is exactly the challenge in foundries, where batches are often short and varied." } }, { "@type": "Question", "name": "How does AI help with furnace maintenance?", "acceptedAnswer": { "@type": "Answer", "text": "Furnace and equipment signals (temperature, consumption, vibration) are analysed continuously. AI detects drift before failure and triggers an early alert, avoiding unplanned stops on a stage as critical as melting." } }, { "@type": "Question", "name": "How long does it take to deploy an AI solution in a foundry?", "acceptedAnswer": { "@type": "Answer", "text": "We work in stages: a short audit to scope the most profitable case, then production in 2 to 3 months depending on scope. You keep control of your data, hosted in France or on site." } } ] } </script>
In a foundry, a defect caught at finishing is value already lost. We build tailor-made AI solutions that inspect your parts right out of the mould, anticipate furnace drift and stabilise your casting processes.
Foundries face heavy constraints: costly scrap, energy, rare know-how and processes that are hard to stabilise. AI acts on each of them, without changing your trades.
Porosity, shrinkage and surface defects often appear only at finishing, when the value is already committed. AI vision spots them right out of the mould and triggers correction before a whole batch turns to scrap.
Melting concentrates most of your energy bill. AI optimises furnace parameters at constant quality and flags abnormal overconsumption in real time.
Adjusting a melt or reading a defect relies on the experience of a few people. AI captures these decisions in models and assistants, so the know-how stays available as the team changes.
Pouring temperature, alloy composition, sand quality: many parameters make quality vary. AI tracks them continuously and suggests the settings that stabilise the conformity rate.
AI is more than a promise — it applies to concrete problems in your production. Here are the six use cases we focus on first.
Automatic defect detection on your production lines, in real time, without slowing the pace.
Anticipate machine breakdowns before they halt production, using your sensor data.
Continuously adjust your production parameters to cut scrap, energy and cycle time.
Generate reliable quotes in minutes from your drawings and cost history.
Your operators query all your technical documentation in plain language, with instant answers.
Smart monitoring of high-risk areas and real-time detection of dangerous situations.
Your data stays in France or on site. We rely on sovereign building blocks (OVH, Scaleway, Mistral) or an on-premise deployment, with no dependency on a foreign cloud.
A dedicated French team, from scoping to production. People who understand your industrial context and stay available after deployment.
Return on investment is framed from the scoping stage. We prioritise the most profitable use case and set measurable targets before writing a single line of code.


















01
Des équipes prêtes pour l'IA
1 à 2 jours
02
Vos cas d'usage priorisés
1 jour
03
La preuve par un premier gain
2 à 6 semaines
04
Du brief au produit en production
2 semaines à 3 mois
01
Pour qui : vos équipes doivent d'abord comprendre ce que l'IA change dans leur métier, avant tout projet ou en parallèle.
En 1 à 2 jours, sur site ou à distance, on forme vos équipes de direction, de production ou vos fonctions support : fondamentaux de l'IA, usages concrets observés dans votre secteur, prise en main d'outils. Aucun prérequis technique. Vos équipes repartent avec des réflexes applicables dès la semaine suivante.
Tarif : certifié Qualiopi, finançable par votre OPCO, souvent intégralement.
J'ai un projet de formation
02
Pour qui : vous savez que l'IA est un sujet, vous ne savez pas par où commencer, ou vous avez une idée précise mais personne pour l'exécuter proprement.
En 1 jour, nos experts analysent votre organisation et vos processus pour identifier les cas d'usage IA les plus pertinents et les plus rapides à déployer. Vous repartez avec une roadmap priorisée et des fiches opérationnelles par cas d'usage.
Tarif : 2 000 € HT (déductible si vous lancez un projet avec nous).
03
Pour qui : vous avez un irritant précis et vous voulez une preuve avant d'investir plus. Lecture de documents, chiffrage, contrôle qualité, tri, reporting.
En 2 à 6 semaines, on livre une solution en production sur un périmètre resserré, branchée sur vos outils existants (ERP, MES, GMAO). Vous mesurez le gain réel, heures gagnées, erreurs évitées, marge protégée, avant de décider de la suite.
Tarif : à partir de 6 000 € HT (l'Audit Flash déjà réalisé est déductible).
04
Pour qui : vous savez déjà ce que vous voulez. Cas d'usage identifié, périmètre clair, ROI cadré. Vous avez besoin d'une équipe technique sérieuse pour passer de l'idée au produit en production.
En 2 semaines à 3 mois selon le périmètre, notre équipe française conçoit et déploie votre solution : agent IA, plateforme métier, système de vision, RAG, automatisation. Cycles courts, démos hebdomadaires, validation utilisateurs continue. Mise en production directe.
Tarif : entre 15 000 € et 80 000 € HT selon la complexité, devis ferme après cadrage.
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