Platform

Agentic Document
Intelligence

We are moving the industry from legacy automation to Level 3 Autonomy — fully autonomous agentic systems featuring zero-touch operation and real-time self-learning. One coherent system, four layers.

Layer Purpose Functionality
01 / 04
Asset Layer
 Enterprise Integration

Securely connects to your enterprise repositories — S3, SharePoint, Filenet — without moving sensitive data outside your perimeter.
02 / 04
Document Twin Layer
 Structured Extraction

Creates a semantic, vision-first digital replica of every document, preserving spatial context, tables, and embedded media exactly as a human expert would read it.
03 / 04
Business Twin Layer
 Domain Intelligence

Maps document data directly into your industry-specific business logic — risk scores, compliance flags, procurement codes, and workflow triggers.
04 / 04
Co-pilot Layer
 User Interaction

A collaborative interface where humans and AI solve complex exceptions together, keeping analysts in control of high-stakes decisions.
Proprietary Models

Vision-First Models: Radon, Xenon, Krypton

Unlike generic LLMs that see text as a flat string, our proprietary models understand the spatial context of documents — nested tables, engineering schematics, handwritten forms.

Rn · 86
Radon
High-Density Extraction

Optimized for multi-thousand-page RFPs and complex structured reports with deeply nested hierarchies and mixed layouts.

Xe · 54
Xenon
Schematic Interpretation

Purpose-built for engineering drawings, spatial symbol recognition, and technical compliance mapping across complex schematics.

Kr · 36
Krypton
High-Velocity Transactions

Designed for BFSI workflows — KYC, onboarding, claims — at 40–50B token daily throughput with full audit trails.

Platform — FAQ
What defines Level 3 Autonomy?
It is characterized by fully autonomous agentic systems featuring zero-touch operation, self-learning, and real-time scalability.
How does ADI differ from traditional OCR?
OCR only scrapes text; ADI understands context, manages multi-step workflows, and makes autonomous decisions.
What are Radon, Xenon, and Krypton?
They are our proprietary, vision-first pretrained models designed for specific high-complexity extraction use cases.
What is a ‘Document Twin’?
It is a structured, semantic representation of a document that allows the AI to understand its layout and content.
What does ‘Zero-Touch’ operation mean?
It means the system can process documents and trigger downstream actions without requiring manual human oversight for every file.
Does the platform support handwritten documents?
Yes, our Vision-First models are designed to handle scanned, legacy, and handwritten formats natively.
How does the system ensure high fidelity?
By combining vision models with agentic feedback loops, the system continuously learns and adapts to improve extraction accuracy.
Can I customize the agentic workflows?
Yes, the platform features a low-code/no-code extension layer for rapid domain-specific customization.