PRODUCT · LIMEDOCS

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.

PRODUCT PREVIEW
Document DriveAI WorkspaceSemantic SearchAnnotationsField ExtractionConnectors
HOW IT'S BUILT

Two pillars: Workspaces for thinking, Workflows for doing.

WORKSPACES

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
WORKFLOWS

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
A WORKFLOW IN MOTION

From inbox to system-of-record, with review where it matters.

01
Trigger
Upload via UI, email to inbox, or drop into SharePoint folder.
02
Classify
Agent classifies each document against expected types — described in plain English.
03
Extract
Fields extracted with confidence scores and bounding boxes preserved.
04
Route
Confidence ≥ 95% → system of record. Else → reviewer email with deep link.
05
Review
Reviewer accepts or edits in side-by-side UI. Workflow resumes to terminal state.
PLATFORM CAPABILITIES

Everything you need to run document operations in production.

AI AGENT

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
CONNECTORS

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
SEARCH

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
ENTERPRISE

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
BUILT FOR
Designed and built for enterprise document operations — RFE analysis, compliance workflows, and knowledge retrieval at scale.
Reference available under NDA.
BOOK A BRIEFING

Tell us what you're actually trying to ship.

A 30-minute call with engineering leadership. We'll come back with a written response — not a sales pitch.