Kili

Automatically extracts structured data from unstructured documents including PDFs, images, and scanned documents using AI-powered document intelligence. Requires minimal training data to accurately identify and categorize information across document types.

Provides a no-code interface for creating complex automation workflows using drag-and-drop visual components. Enables non-technical users to design multi-step processes without writing code.

Enables teams to review, validate, and correct AI-extracted data directly within the platform with built-in collaboration tools. Creates feedback loops that improve AI accuracy over time through human-in-the-loop validation.

Automatically classifies and routes documents into categories based on content analysis and learned patterns. Reduces manual sorting and enables intelligent document organization at scale.

Connects Kili workflows to external systems and applications through API integrations and pre-built connectors. Enables data flow between Kili and other business tools in automated processes.

Processes multiple documents in bulk through defined workflows, applying the same extraction and automation rules across large volumes efficiently. Handles high-throughput document processing with consistent results.

Enables creation of branching logic and conditional rules within workflows to handle different scenarios and data variations. Allows workflows to make decisions and follow different paths based on extracted data or conditions.

Learns from human corrections and validation feedback to continuously improve extraction accuracy over time. Uses corrected data as training signals to refine AI models for specific document types and fields.

Converts unstructured or semi-structured data from documents into organized, actionable structured formats. Transforms raw document content into clean, usable data for downstream systems.

Provides visibility into automation execution with monitoring dashboards, logs, and reporting capabilities. Tracks workflow performance, errors, and processing metrics to ensure automations are running correctly.