Quantiris — Industrial Data, AI & Document Systems

Quantiris designs and deploys custom data and AI systems for complex industrial environments, where data quality, operational reliability, and traceability are critical.

We typically intervene when standard approaches (off-the-shelf tools, low-code automation, generic AI solutions) reach their limits.

What we do

We build robust, production-grade systems combining:

Document Engineering & advanced OCR (technical documents, drawings, multi-template files)

Industrial data pipelines (Spark-based processing, data platforms, governance, monitoring)

Custom business algorithms (data quality controls, consistency checks, domain rules)

Applied AI & advanced automation (GenAI, agent-based workflows, human-in-the-loop)

Problems we solve

Industrial and operational risks caused by incomplete or inconsistent data

High-volume document flows that cannot be handled manually

Transformation programs slowed down by low data reliability

The need for automated controls before ERP migration, archiving, or production usage

Our difference

No generic “plug-and-play” solutions: each system is designed for its specific context

A strong software engineering and data engineering culture, not disposable prototypes

Auditable, monitored, industrialized systems, not endless POCs

Deep understanding of real-world industrial constraints and processes

Positioning

Quantiris operates at the intersection of data engineering, applied data science, and industrial automation, with a clear objective:
turn complex, unreliable data flows into trusted, scalable, and sustainable data systems.

Quantiris

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Quantiris

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