Document agents that actually work
at enterprise scale.
Limedocs is our agentic document platform. Drop in any volume of documents — the platform ingests, indexes, and reasons over them with a permission-aware agent. Build workflows that classify, extract, and route, with human review where it matters.
Two pillars: Workspaces for thinking, Workflows for doing.
Reason across the corpus
Create a workspace, write context describing what it's for, drag in documents at any volume. The workspace agent uses lexical + vector retrieval, metadata filters, and graph memory — never burning context on full documents.
- Multi-user collaboration with sharing (View / Annotate / Use AI)
- Per-user private AI chat with persistent conversation history
- Pluggable parsers — Azure Content Understanding, Unstructured.IO
- Pluggable indices — Azure AI Search, Elasticsearch
- Paragraph-level semantic search with deep-link citations
- Image and metadata extraction inline
- Annotations — highlights, comments, @mentions, threads
Run them at scale
Define stages, expected document types, and fields to extract — in plain English. Trigger from UI, email, or SharePoint folder drop. Confidence-gated routing pushes clean records to your system of record and routes the rest to a reviewer.
- Plain-English document and field definitions
- Field-level confidence with source-coordinate citations
- Rule-based routing (e.g. all fields ≥ 95% → SoR)
- Human-in-the-loop only where it's needed
- Resilient pipelines with automatic retry and idempotency
- Content immutability — reuse extraction when unchanged
From inbox to system-of-record, with review where it matters.
Everything you need to run document operations in production.
Agentic search & reasoning
- Multi-model AI configuration (GPT-4o, GPT-4, embeddings)
- Tool use: search documents, read pages, export Excel/PDF, email
- Real-time streaming responses as the agent reasons
- Agent profiles — tailored behavior per workspace type
- Deep-link citations to exact source paragraphs
Bring your own storage
- OneDrive and SharePoint integration
- Amazon S3 bucket connection
- Google Drive (coming soon)
- BYOS — Bring Your Own Storage with encrypted credentials
- Store-only or store + ingest modes
Dual-path retrieval
- Paragraph-centric lexical index for precision search
- Semantic vector embeddings for meaning-based retrieval
- Multi-folder, multi-document search in one query
- Search-to-highlight — jump to exact paragraph in viewer
- Metadata filters and permission-scoped results
Production-grade from day one
- Multi-tenant architecture with isolated data pipelines
- SSO / SAML authentication
- Encrypted connections and audit logging
- Data residency controls and GDPR compliance
- REST API for programmatic access