INDUSTRY · PLASTICS PROCESSING

AI for the plastics processing industry

2 to 3 months from diagnostic to deployment

In plastics processing, margin comes down to scrap and cycle time. We build tailor-made AI solutions that inspect your parts right at ejection, stabilise your injection settings and secure your transformation processes.

Sector challenges in 2026

Plastics processing combines costly material, high throughput and sensitive processes. AI acts on each of these constraints, without changing your trades.

Defects caught too late

Sink marks, flash, burns and colour defects often surface at final inspection or after assembly, when the value is already committed. AI vision spots them right at ejection and triggers correction before a whole batch turns to scrap.

Scrap weighing on material margin

With material cost high, scrap is a direct loss, regrind included. AI stabilises injection settings to reduce non-conforming parts and wasted material.

Cycle times under pressure

Every second of cycle counts on a press's profitability. AI helps optimise parameters to cut cycle time at constant quality.

Processes sensitive to many parameters

Temperature, pressure, holding, cooling, material moisture: many factors make quality vary. AI tracks them continuously and suggests the settings that stabilise the conformity rate.

Image de Yoan Hibert, fondateur de StratIAImage de Baptiste Wieczorek, fondateur de StratIA
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Roles in the sector

From injection to final inspection, every role in plastics processing can rely on AI to secure quality, cut scrap and hold cycle times.

Injection setter

Sets and stabilises the presses. AI tracks pressure, temperature and holding time to suggest the parameters that keep the part within tolerance.

Press operator

Runs production. AI vision checks every part right at ejection and flags sink marks, flash and colour defects before a batch ships.

Mould maker

Maintains and adjusts moulds. AI cross-references part condition and tool wear to anticipate a mould defect before it spreads.

Quality manager

Runs part inspection. AI detects appearance defects and dimensional drift at press output, with full traceability per batch.

Methods engineer

Industrialises new parts. AI cross-references injection parameters and quality results to lock in the settings of a new mould faster.

Maintenance technician

Maintains presses and peripherals. AI analyses machine signals to anticipate drift before a production stop.

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Why StratIA

Sovereignty

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.

French squad

A dedicated French team, from scoping to production. People who understand your industrial context and stay available after deployment.

Framed ROI

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.

Soutenus par

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Expert insights

In plastics processing, margin comes down to scrap and cycle time. An appearance defect caught after assembly is material and hours already lost. AI does not replace the setter: it puts a camera and a model on the press to spot a sink mark or flash right at ejection, and adjusts injection parameters before the batch drifts. That is where, within a few months, the return on investment is decided.

Yoan Hibert
Yoan Hibert Co-founder & Managing Director Profile
Baptiste Wieczorek
Baptiste Wieczorek Co-founder & CTO Profile
Image de Yoan Hibert, fondateur de StratIAImage de Baptiste Wieczorek, fondateur de StratIA
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Our method: from entry point to continuous use

based on your maturity level...

01

AI Flash Audit
(optional)

Rapidly prioritised use cases

1 day

02

AI Foundations Audit (optional)

Deep AI strategy

1 to 3 days

03

Tailor-made development

From brief to the production

4 to 8 weeks

04

Run & Maintenance

Continuous adaptation of your AI solutions

continuous

01

AI Flash Audit

For whom: you know AI is a topic, you don't know where to start, or you have a clear idea but no one to execute it properly.

In 1 day, our experts analyse your organisation and processes to identify the most relevant and fastest-to-deploy AI use cases. You leave with a prioritised roadmap and operational fact sheets per use case.

Price: €2,000 excl. VAT (deductible if you launch a project with us).

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02

AI Foundations Audit

For whom: you want to build a real in-depth AI strategy, with a solid governance framework and a 12-24 month roadmap.

In 1 to 3 days, our experts analyse your data, governance, organisation and AI maturity. You leave with a complete diagnosis, a strategic and operational roadmap, and a governance framework covering regulatory matters (GDPR, AI Act).

Price: from €4,800 excl. VAT (deductible if you launch a project with us).

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03

Tailor-made development

For whom: you already know what you want. Use case identified, scope clear, ROI framed. You need a serious technical team to go from idea to production.

In 4 to 8 weeks, our French squad designs and deploys your solution: AI agent, business platform, vision system, RAG, automation. Short cycles, weekly demos, continuous user validation. Direct go-live.

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One client case

Client case Plastic injection

Detecting appearance defects at press output

A thermoplastic injection processor producing technical parts was catching sink marks and flash after assembly, too late. We deployed vision inspection at press output, coupled with a model trained on its recurring defects.


−18 %scrap rate
97 %defects caught at press output
7 monthsreturn on investment

Estimated savings between €70,000 and €110,000 per year on material and avoided non-conforming parts.

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Let's discuss your AI project

Image de Yoan Hibert, fondateur de StratIAImage de Baptiste Wieczorek, fondateur de StratIA
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To go further

Industry

Our AI approach across the whole industrial sector.

AI Flash Audit

Identify your priority use cases in 1 day.

AI Foundations Audit

Build your AI strategy in depth.

Tailor-made development

From scoping to the deployment of your solution.

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