Paralogix turns your work documents into a self-aware knowledge graph, then grounds AI in the documents, projects, workflows, and relationships your team depends on.
Specifications, purchase orders, certificates of analysis, batch records, shipping forms, and other regulated documents all depend on each other. Accuracy is not just operational. It is the paper trail.
Reviewing related documents takes deep company context that is too slow to transfer and too important to outsource blindly.
Current AI agents fail because they do not understand the relationship between your other documents.
The best prompt still cannot cheaply recreate every project rule, document dependency, and exception your team already knows.
Paralogix maps document types, projects, workflows, and relationships so the model understands what each document is, what it depends on, and what should happen next.
Paralogix can flag risk, answer technical questions, and generate the next document or email from the relevant project history.
Generate a working list of flagged risks, errors, and inconsistencies inside documents and across related documents.
Define and refine workflows that use your history and relevant project information to complete the next part correctly.
Ask specific questions, see flags in real documents, and stay the human in the loop for trust-but-verify review.
See the risks, errors, missing context, and cross-document inconsistencies that need human attention.
Work on generated documents, refine them, or ask the agent to fill in sections from prior project information.
Capture company, project, and document nuances that generic models miss, then improve them with guided prompts.
Paralogix can work natively with existing databases or with a secure shared folder through providers such as Box, Google Drive, and Dropbox.
Describe your workflow, document types, checks, and rules in plain language. Paralogix turns that into a reusable document flow.
Start a project from a playbook, upload documents, or connect a secure folder. Paralogix maps the workflow and the project context.
Review risks, errors, inconsistencies, and generated drafts as new documents arrive. Stay in the loop and steer the work.
We run on OpenAI models, do not store or train on your data, and keep your documents secure, private, and yours.