pialgorithms builds AI-native document management software and provides AI engineering services.
Our document management software is built around the following products: athenaeum, lexicon, hermes, and panorama.
Product demos below⬇️
https://t.co/QlXR6w1MPp
If an app prepares a Word or Excel file separately for viewing and for search or AI, the results can differ from what users see on screen. @pialgorithms uses one shared PDF with fixed pages while preserving the original.
https://t.co/9AdTKTWDPS
Keep confidential company documents in the right hands. @pialgorithms applies each person’s access permissions to opening files, searching, and asking the AI questions.
https://t.co/zO5WXJUNPQ
@pialgorithms keeps file access, search results, and AI answers within each user's document permissions, helping protect confidential information while teams work.
https://t.co/MAwN9HzE04
Turn handwritten documents into structured data with hermes, across languages, document types and supported formats.
Below: a Greek customer order with source highlights for review. Data can be sent to your systems automatically or after user approval.
Hardcoding access keys is a fundamental security mistake. @pialgorithms uses Azure Managed Identity for storage, search, and AI connections to reduce the risk of leaked keys exposing your documents and data.
https://t.co/ATFA6LwqOs
@pialgorithms has been named an @OpenAI Select Partner in the OpenAI Partner Network.
As part of the OpenAI Partner Network, we look forward to continuing our work with OpenAI to help organizations build, deploy, and scale AI solutions responsibly and effectively.
A company login won’t protect documents if a copied storage key can still open them. Our platform uses its own identity and scoped Azure roles, reducing the risk of confidential files being exposed through a shared key.
Read how we designed it: https://t.co/R6p2XFaINC
A document can be visible in a DMS before its preview, search index, tags or extracted data are ready.
We use Azure SignalR to push specific, permission-scoped updates to open screens, with polling used only to recover missed events.
How we built it:
https://t.co/855BCCaww9
Uploading a document in a traditional DMS is relatively simple. In an AI-native one, it isn’t.
At @pialgorithms we make sure search, previews, AI answers, tagging and extraction are all updated before users rely on them.
https://t.co/9lDyqv98Vi
Replacing a document in AI-native document management is more than uploading a file. Search, AI answers, extracted data and workflows must update too, or users will still get yesterday's information.
We wrote on how to build this upload pipeline properly: https://t.co/KsqXXV67c9
In a well-engineered AI-native document management system, replacing a document should update more than the file users see.
Search, previews and extracted data must move with it, while history remains auditable.
Our latest article explains why and how.
https://t.co/AwQmHSd5p3
A structure extraction is easier to trust when users can see where every value came from.
hermes highlights fields in the document preview for fast review, and sends results directly into customer systems for end-to-end automations.
Read how we built it: https://t.co/lRAolJ1h9f
panorama turns operational data into dashboards, reports, and workflow visibility.
This dashboard shows token consumption over time. Dashboards can be tailored to each company’s workflows and data sources.
Learn more: https://t.co/hOsjA1VJtw
pialgorithms builds AI-native document management software and provides AI engineering services.
Our document management software is built around the following products: athenaeum, lexicon, hermes, and panorama.
Product demos below⬇️
https://t.co/QlXR6w1MPp
hermes turns business documents into structured data ready for operational systems.
Extract fields and line items, review them against the source document, validate the results, and deliver them to ERPs, databases, or apps.
Learn more: https://t.co/hOsjA1VJtw
A valid extraction isn't enough if users can't verify where each value came from.
Hermes links extracted fields to source locations, so users can click a field and verify it directly in the document.
Read more about it in our latest article:
https://t.co/Sbc4UnxTRO
hermes is the product we built for operational document data extraction: strict schemas, constrained model outputs, cross-field business validation, and an audit trail.
Out latest technical article explains the architecture: https://t.co/uXEdq2SR2i
Most extraction results look complete in a demo, then break when someone tries to send them to an ERP.
Operational data needs a fixed shape, constrained output, and validation. That's the approach behind hermes, our document extraction product.
More: https://t.co/6fpjOBgsEK