Documind
Documind provides enterprise content workflow automation that reads emails, PDFs, scans, photos, and spreadsheets, then validates and routes the extracted data into existing business systems. The platform runs three AI models in parallel that must agree on each value, with rule-based checks and human escalation for uncertain fields. It can be deployed on customer-owned servers with offline capability and supports integrations with SAP, ERP systems, and other API-enabled platforms.
- Enterprise Software
- Artificial Intelligence
- Software Only
- AI Agents
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional document processing tools rely on template-based OCR that breaks when new layouts, scanned copies, or phone photos arrive, requiring constant maintenance and manual re-keying. Single language models can return confident but incorrect answers, and misread fields in trade and logistics can cause delayed shipments or audit failures.
Solution
Documind runs multiple vision-language models in parallel, composes and cross-validates their outputs, and assigns a confidence score to every extracted field. Users define their desired output once as a plain-language schema, and the platform handles ingestion, extraction, and validation for every subsequent document. High-confidence values flow directly into existing systems, while uncertain fields are flagged for quick human review. The platform includes evaluation agents that run automated tests against curated document sets, providing granular accuracy metrics for every field and document type. An AI assistant lets users describe the workflow in plain words, then builds the data fields, connects inboxes and systems, and tests everything on the user's own examples before going live.
Target Audience
Primary customers are operations and finance teams in trade, logistics, banking, insurance, manufacturing, and related industries that process high volumes of invoices, purchase orders, ID documents, bank statements, and other documents with unpredictable formats and need reliable, auditable extraction.
Features
- Multi-model ensemble approach running vision-language models in parallel with cross-validation and disagreement detection
- Confidence scoring for every extracted field with direct document references and reasoning for each decision
- Plain-language schema definition that lets users specify output structure without code
- Automated evaluation agents that generate ground truth, verify with humans, and score extraction quality per field
- Human escalation workflow that flags uncertain fields or model disagreements for review
- Rule-based validation for math checks, VAT calculations, IBAN format, duplicate detection, and three-way matching between invoices, orders, and deliveries
- ISO/IEC 27001 certified with GDPR and KVKK alignment, SOC 2 Type II attestation in progress, EU and AU data residency endpoints, zero data retention agreements, SSO/SAML, and role-based access control
- On-premises deployment option with offline capability on customer-owned AI models
- Integrations with SAP, Salesforce, HubSpot, UiPath, Zapier, Make, n8n, and Airtable plus a REST API
- Tamper-proof audit record of every step, showing who approved what and when