Think of traditional safety analysis like a paper map; it’s static, hard to read, and quickly becomes out of date. Dedoctive is like a live GPS system. It takes all the raw data (the roads), understands the connections (the routes), and updates in real-time as the situation on the ground changes, always showing you exactly where its information is coming from.

Part 1 of 5

Most organisations are drowning in data, yet they are starving for information. Whether it is PDF reports, complex spreadsheets, or technical diagrams, the vital facts needed for safety and risk management are often scattered across hundreds of files.

You might think a standard web search or even a chatbot like ChatGPT could solve this, but they face three major hurdles:

• The Context Problem: Traditional search engines find words, not relationships. If you ask how two separate people are connected, and no single document mentions both, a search engine will likely fail.
• The Knowledge Problem: Standard AI isn’t trained on your private, proprietary data.
• The Trust Problem: AI is notorious for hallucinating—making up facts that sound convincing but are entirely false. In safety-critical fields like Bowtie risk analysis, a hallucination isn’t just a mistake; it’s a danger.

Dedoctive acts as the bridge, turning this mountain of messy data into a structured “knowledge model” that AI can use without making things up.

To see how it does this, follow this blog series.