Contextual AI

Production-ready Enterprise AI from the pioneers of RAG

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Description

Contextual AI offers a platform designed for enterprises to create and manage production-grade Retrieval-Augmented Generation (RAG) applications. As pioneers in RAG technology, the platform focuses on delivering highly accurate, auditable, and specialized AI solutions tailored to specific business needs. It enables organizations to move beyond demo stages and implement scalable AI systems capable of handling vast amounts of enterprise data, including millions of document pages.

The platform employs an innovative RAG 2.0 approach, which integrates and optimizes extraction, retrieval, and generation components into a single system for enhanced accuracy out-of-the-box. Built with enterprise requirements in mind, it provides robust security features, access controls, and flexible deployment options (SaaS, VPC, or on-premises) to meet stringent compliance standards. Contextual AI aims to accelerate time-to-value by offering a comprehensive solution that simplifies the building, testing, and maintenance of complex RAG applications, supported by expert guidance.

Key Features

Contextual RAG Agent: Delivers accurate responses via end-to-end optimization of retrieval and generation.
Contextual Document Understanding: Processes complex enterprise documents like technical reports, financial statements, and research papers.
Specialization Engine: Adapts models to specific needs using post-training techniques and feedback mechanisms.
Agent Templates: Provides pre-built, customizable agents for complex knowledge-intensive workloads.
Enterprise-Grade Security: Offers auditable and controllable AI applications with tailored data and application access.
Flexible and Scalable Deployment: Supports SaaS, private cloud (VPC), or on-premises deployment options.
RAG 2.0 Integrated System: Pre-trains, fine-tunes, and aligns all components (extraction, retrieval, generation) for improved accuracy.

Use Cases

Analyzing financial reports and market research in wealth management and capital markets.
Tracking regulatory and compliance documents in financial services.
Accessing deal memos and call transcripts for financial teams.
Searching engineering documents, design specifications, and code repositories.
Tracking technical standards and procedures for engineering teams.
Synthesizing expert call transcripts for professional services firms.
Searching client deliverables and work products in advisory and legal services.
Cross-referencing patents and other legal documents.