- HTX | Private AI for European Enterprises — ORCA · MANTA · KOI · TIDE/
- AI Use Cases for European SMEs | Private AI Solutions | HTX/
- AI for Manufacturing | Technical Document Chatbot and Quality | HTX/
AI for Manufacturing | Technical Document Chatbot and Quality | HTX
Private AI for
manufacturing.
Query your technical documents and analyse production data in natural language. Your know-how stays in your factory. GDPR and AI Act compliant.
data into ChatGPT
production data
pilot
The manufacturing documentation paradox.
A mid-sized manufacturing company manages hundreds — often thousands — of technical documents: operating manuals, quality procedures, safety data sheets, product specifications, maintenance instructions, industry standards, ISO certifications.
These documents contain the company's know-how. But they are also its bottleneck. A new operator spends weeks familiarising with procedures. An experienced technician wastes valuable time searching for information they know exists but cannot locate. A quality manager must verify compliance by cross-referencing dozens of documents.
The problem is worsening: employees have started using ChatGPT to find answers. 77% of workers paste company data into consumer AI tools. In a manufacturing context, this means sending product specifications, proprietary procedures, and production data to US servers. A risk for GDPR and, above all, for the industrial know-how that represents the company's competitive advantage.
Similarly, production data — cycle times, scrap rates, quality parameters, maintenance records — sits in databases that only IT or a few specialists can query. Data-driven decisions remain a theoretical goal because data access is an organisational bottleneck.
Two tools for digital manufacturing.
HTX has developed two products that address manufacturing's two core problems: document access and production data access. Both run on PRISMA, on-premise in your infrastructure.
ORCA — AI chat for technical docs
ORCA indexes all company technical documentation: operating manuals, ISO procedures, safety data sheets, product specifications, maintenance instructions. Operators ask questions in natural language and receive precise answers citing the page and original document.
"What is the calibration procedure for line 3?" — "What are the temperature parameters for batch XY?" — "What does ISO 9001 say about non-conformance management?" ORCA finds the answer in seconds, traced to the source. Zero hallucinations.
The result: faster onboarding for new operators, fewer errors in procedure consultation, more time spent on production and less on information retrieval.
Technical docs + RAGMANTA — Production data in natural language
MANTA connects to production databases — ERP, MES, quality systems, maintenance — and lets anyone query them in natural language. The production manager asks: "What is the scrap rate on line 2 over the last month?" and MANTA generates the SQL query, executes it securely, and returns the result.
No more requests to IT for ad-hoc reports. No more waiting weeks for analysis that was needed yesterday. MANTA democratises access to production data without compromising security: every query is validated, sanitised, and protected against SQL injection.
The result: faster decisions based on real data, accessible to those who actually need it — from the plant manager to the quality technician.
Text-to-SQL + securityPodartis: AI for medical footwear manufacturing.
Podartis is an Italian leader in the production of medical footwear and orthopaedic devices. They operate in a sector where the convergence of manufacturing and healthcare creates particularly complex documentation requirements: MDR regulations for medical devices, ISO standards for production quality, technical specifications for materials and processes.
Podartis faced a dual challenge. On one side, a vast and layered document patrimony: production procedures, certifications, technical specifications for hundreds of products. On the other, the need to make this information quickly accessible to operators, technicians, and quality managers.
HTX implemented ORCA to make Podartis's entire document base queryable in natural language. Operators can ask: "What are the material specifications for model X?" or "What is the quality control procedure for the orthopaedic line?" and receive immediate, precise answers referencing the original document.
The Podartis project demonstrates how private AI applies to a real, regulated manufacturing context — where information accuracy is not optional, but a matter of compliance and product safety.
AI that respects your standards.
For a manufacturing company, quality is non-negotiable. HTX solutions are designed to integrate with your quality processes, not to bypass them.
Traceable answers
Every ORCA answer cites the document, page, and section it comes from. This is essential for the traceability required by ISO 9001, ISO 13485, and industry regulations. When an auditor asks "where is this procedure documented?", the answer exists and is verifiable.
ISO traceabilityKnow-how protected
Product specifications, proprietary processes, and production data are the heart of a manufacturing company's competitive advantage. With PRISMA, no data leaves your infrastructure. No data is used to train models that then answer your competitors.
Zero data leakageValidated, secure queries
MANTA validates and sanitises every SQL query before execution. Built-in protection against SQL injection and harmful queries. IT maintains full control over data access permissions.
SQL injection protectionConcrete results for the factory floor.
Faster onboarding
New operators no longer need to read hundreds of pages of procedures. They can ask questions in natural language and receive immediate, contextualised answers traced to the source. Training time is dramatically reduced.
Fewer operational errors
When information is accessible in seconds, operators consult procedures more often. Fewer guesses from memory, fewer errors, fewer non-conformances. Documentation stops being an archive and becomes a daily working tool.
Data-driven decisions
With MANTA, the production manager no longer waits for IT to deliver a report. They can query production data directly, in natural language, and get real-time insights. More responsiveness, fewer bottlenecks.
Know-how stays yours
Unlike ChatGPT and Copilot, HTX solutions send no data to external servers. Your technical specifications, your processes, your production data stay within your perimeter. Always.
From pilot to deployment in three phases.
We do not ask you to change your infrastructure or commit for years. Our method is designed for SMEs: pragmatic, measurable, risk-free.
Phase 1 — Assessment (1 week): We analyse your documentation, databases, and operational workflows. We identify the highest-impact use case.
Phase 2 — Pilot (2-4 weeks): We deploy ORCA and/or MANTA on the identified use case, with your real documents and data. You measure the value.
Phase 3 — Scale (gradual): We expand the solution to other departments, documents, and databases. At your pace.
FAQ — AI for Manufacturing
Can ORCA really understand my company's technical documentation?
Yes. ORCA indexes manuals, operating procedures, technical specifications, safety data sheets, and any company document. Employees ask questions in natural language and receive precise answers with source citations. ORCA does not invent answers: if the information is not in your documents, it says so.
Can MANTA connect multiple production databases simultaneously?
Yes. MANTA supports PostgreSQL, MySQL, SQL Server, Oracle, MariaDB, and more. You can connect multiple databases and ask questions that cross-reference data from different sources, all in natural language and without writing SQL.
Do HTX solutions work for a mid-sized manufacturing company?
Absolutely. HTX designs solutions specifically for European SMEs, not multinationals. Our approach with a pilot in 2-4 weeks lets you start small, measure value, and scale gradually.
How does HTX protect my company's know-how and trade secrets?
All solutions run on PRISMA, on-premise in your infrastructure or on HTX cloud in Europe. No data leaves your perimeter. No data is used to train models that then answer your competitors.
Can I try ORCA and MANTA before a full investment?
Yes. Our method includes a working pilot in 2-4 weeks on your real use case. You measure concrete value before committing. No long-term lock-in.