ADI – Levels of Data Autonomy for Extraction.

Level 1 – No Autonomy

Rule-Based, High-Touch Approach

  • Reliant on human  intervention
  • High touch related costs impacting TCO
  • Great for known universe,  but prone to errors and  inconsistencies

Level 2 – Semi Autonomy

Generalized Learning Systems

  • Post-deployment learning in intermittent cycles
  • Partial feedback loop
  • Reduced touch, but still requires periodic configuration

Level 3 – Full Autonomy

Intics.ai’s Revolutionary No- Touch ADI System

  • Industry first legacy document data extraction
  • Full autopilot feedback loop
  • Captive deployment, Cloud agnostic, No transactional pricing

Speed Up Document Processing to Transform Data into Insights Instantly

Intics ADI – Speed Up Document Processing to Transform Data into Insights Instantly.

The Intics ADI MAP – Models, Agents, and Pipeline

Pre-trained large vision models (Krypton and Radon) to extract checkboxes and variable value data from any image asset with No Touch capabilities. Zero training needed.

Intics ADI agents unite, evolve, and conquer. Our smart agents learn new documents solo, deploy special agents on-demand, and scale without breaking the bank. Collaboration breeds efficiency, adaptation fuels growth.

Intics’ custom-built big data stack powers our ADI pipeline, processing faxes, PDFs, and images at any scale. Whether it’s 10,000 or 10 million documents, just rack, stack, and let it run on autopilot. Scale up without worry.

Intics ADI delivers

NOTA - Enterprise grade No Touch accuracy (>90% - Printed/Handwritten and Checkboxes).
TCO - 0.01 cents for a million pages.
Scale - 1 million pages a day captively.