Twelve presentations left by someone who changed teams. A two-hundred-page manual due tomorrow. SazAI Corpus reads all of it once and hands every document back opened, in four formats.
What comes in, and what comes out
One file goes in, four formats come out
One section per slide, per document section, per sheet, per PDF page. Each carries the image, the text and, when they exist, the speaker notes and the comments.
A slide someone hid appears too, marked as hidden.
Your documents
One reading on entry, and everything it produced gets an address
SazAI Corpus reads the whole file once, by the format’s specification, without interpreting it. The X-ray is what comes out: the text with its origin, the comments, the notes, the hidden items, the properties. Every passage gets an address in the file. More, including what the receipt does not prove, in your documents.
Use cases
Where this solves something, and where it does not yet
Built for audit, material you did not write, versions and what changed, translation you can prove complete. Each case, and what is not solved yet, is in use cases.
Neural network
Documents stop being a folder and become a diagram
Every document is linked to its editions, every edition to its receipt, every comparison to both sides. The connectome is that diagram, and it grows with every upload. You browse it on screen; the agent reads it from inside, which is why an answer can come with its source. More in neural network.
The engine measures and does not opine. The agent interprets, reading the same vault as you.