OdysseyGPT is an enterprise-grade document intelligence and intelligent document processing (IDP) platform. Its core goal is to transform unstructured documents into citable, traceable knowledge and structured data, and feed them into enterprise business systems.
Purpose OdysseyGPT mainly solves the problem of data extraction and flow in enterprise documents. It is aimed at teams that need to prove the source of every piece of data, rather than merely pursuing fast answers. It reads and extracts the required information from documents such as contracts, invoices, resumes, emails, forms, tickets, and incident reports, and after validation pushes it to systems such as accounting, HR, CRM, and customer service.
Main capabilities
- Data traceability: Extract data from contracts, invoices, forms, and emails, and link each value back to the exact page number and paragraph, supporting one-click jumping from a data field to the source text.
- Permissions and auditing: Support setting up workspaces, roles, and approval steps; every question, answer, and data export is recorded, making it possible to trace who performed an action, when, and from which document.
- System integration: Send document data to accounting, HR, CRM, and customer service systems without losing source context.
- AI agents: Ask questions or run workflows to classify documents, extract and validate data, and retain source links.
- Security and compliance: Built-in single sign-on (SSO), role and permissions by workspace, and logs of all questions/answers/file access; data is encrypted in transit and at rest; provides end-to-end encryption (AES-256 at rest, TLS 1.3 in transit), a complete audit trail (every access is logged and exportable), and role-based access control (RBAC).
How to use
- Connect documents: Import files from cloud storage, email, file sharing, or business applications, supporting invoices, contracts, resumes, tickets, and more.
- Set up rules: Create workspaces for each team or project, and define the data to be extracted, the visibility scope, and the retention period.
- Let AI agents execute: Ask questions or run workflows to organize documents, extract data, and validate it, while retaining source links.
- Send data to systems: After human review, data flows into accounting, HR, CRM, and customer service tools, and every sync is logged for traceability.
Applicable scenarios
- Legal and compliance: Accelerate contract review, extract clauses, dates, parties, and conditions for easy search and tracking; send data to legal and compliance tools.
- Risk, audit, and intelligence: Help risk teams search large numbers of reports and emails, automatically classify and tag documents, conduct investigations, and send data to BI tools and case systems.
- Accounting and finance: Extract line items, taxes, and payment terms from invoices, validate them against supplier lists and purchase orders,Flag anomalies for manual review.
- Human Resources: Parse resumes and offer letters into structured data, populate HR and recruiting systems, and retain links to the original documents.
- Sales and CRM: Extract key details such as customers, products, and terms from orders and contracts, push them to the CRM, and link CRM records back to the source documents.
- Tickets and ITSM: Read support tickets and incident reports, automatically tag and categorize them, extract products, versions, and error codes, and provide better data for SLA reporting and routing.
Limitations The official materials do not specify the specific deployment method, supported document languages, pricing, or free trial information; these are not currently available.
