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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