AIR2 - Super RAG Agent

Precision Retrieval + Advanced AI Reasoning

Combining the precision of grounded document search with the analytical depth of large-scale AI synthesis — retrieval accuracy + domain-level reasoning.

Super RAG Agent

  • AIR2 builds on AIR1’s secure, high-volume retrieval engine by overlaying advanced reasoning powered by Google Gemini — combining the precision of grounded document search with the analytical depth of large-scale AI synthesis.

 

  • While AIR1 retrieves the right information from up to 500,000 securely stored documents, AIR2 goes further: it analyses patterns across documents, reconciles conflicting evidence, constructs timelines, and generates expert-level insight — all fully grounded in source material.

 

  • Agents can be configured to perform specific functional roles, with outputs fully automated to generate ad-hoc reports. Multiple specialised agents, each focused on a distinct task, can access the same shared document collection (knowledge base) to deliver comprehensive analysis.

 

  • The result: the best of both worlds — retrieval accuracy + domain-level reasoning.

Up to 500K

Documents in Secure Vault

Gemini

Advanced Reasoning Engine

100%

Source-Grounded Outputs

Key Features

Enterprise-grade intelligence, built for scale — every query grounded in source documents with full traceability.

Secure Vault Retrieval

Secure retrieval from AIR Secure Vault with up to 500K documents encrypted at rest and in transit.

Gemini-Powered Synthesis

Multi-document synthesis powered by Google Gemini for deep analytical reasoning.

Contradiction Analysis

Cross-document contradiction detection to surface conflicting evidence and inconsistencies.

Timeline Reconstruction

Automated timeline reconstruction and causal reasoning across complex event sequences.

Expert-Grade Outputs

Source-grounded analytical outputs at expert level, ready for professional reporting.

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