elDoc is a unified platform that combines electronic signatures, no‑code workflow automation, secure file sharing, and AI‑powered document processing. It lets users design end‑to‑end document workflows, automatically scan and classify large document sets, and generate content with retrieval‑augmented LLMs, available in both cloud and on‑premises deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations and individuals often rely on multiple disconnected tools for signing, workflow management, secure storage, and document analysis, leading to inefficiencies, security risks, and limited scalability when handling large volumes of documents.
Solution
elDoc provides a unified platform that combines electronic signatures, no-code workflow automation, secure file sharing, and AI-powered document processing and generation. Users can create and execute custom document workflows without programming, while built-in eSignature ensures legally binding approvals. The platform’s large language model capabilities enable automatic scanning, indexing, classification, and content generation across massive document collections. Both cloud and on‑premises deployments are available, allowing enterprises to meet compliance and data residency requirements while offering the same AI-driven functionality to individual users.
Target Audience
Primary customers include businesses of all sizes, from individual professionals to global enterprises, that need streamlined document signing, automation, and AI-driven content management.
Features
- Integrated eSignature module with secure, legally compliant signing in cloud or on‑premises environments
- No‑code workflow designer for end‑to‑end document creation, approval, and storage processes
- Real‑time collaboration with online editing, version tracking, and shared workspaces
- Secure file sharing with granular access controls and encryption
- AI Document Processing that automatically scans, indexes, classifies, and extracts data at scale
- Document Generative AI using retrieval‑augmented LLMs to analyze, summarize, and generate content from large document repositories
- Centralized, encrypted storage with role‑based permissions and audit trails