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AI & Innovation

PDF Accessible

No, this wasn't just "plugging in ChatGPT." A hybrid approach using deterministic algorithms, symbolic AI and LLM Vision moved compliance from the market's 30% to 85%.

85% compliance with the strictest accessibility standards

Making PDFs accessible for hundreds of companies is a challenge that off-the-shelf solutions can't solve. Document formats vary so much that no single approach works.

Market solutions promised a lot but delivered little. We needed a custom approach, built by people who understand both accessibility and engineering.

The problem

The problem

Market solutions promised 100% automation but delivered 30% quality. Document formats are too varied for a single approach.

We needed a solution that could adapt to each document type, not a generic tool applied without discernment.

Mission context

The setup

Role
CTO
Duration
Ongoing
Pace
Integrated into product development
Team
Dedicated R&D team
Approach

The approach

Three-tier hybrid AI strategy. Deterministic algorithms for structured content: reliable, predictable, fast.

Symbolic AI for pattern recognition in semi-structured layouts. And LLM Vision for complex layouts where only visual understanding works.

Each layer has its role. No silver bullet, no buzzwords, just the right tool for each type of problem.

Tech stack

Stack

Python TensorFlow OpenAI Vision FastAPI PostgreSQL
Results

Results

Accessibility

Inadequate off-the-shelf solutions → 85% compliance

Companies served

→ Hundreds

AI architecture

Single approach → Hybrid 3-tier

Real AI innovation is knowing when not to use AI. A purpose-built hybrid approach always beats a generic solution applied without discernment.

Next study:Gridky
Talk

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