Contextual AI

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Build & deploy production - ready Retrieval - Augmented Generation (RAG) apps with Contextual AI. Features RAG 2.0, quick build times, enterprise - grade security, and flexible deployments. Trusted by industry leaders. Start revolutionizing your business today!0
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What is Contextual AI?

Contextual AI is a cutting-edge platform designed to help you build and deploy production-ready Retrieval-Augmented Generation (RAG) applications. These aren't just any AI applications; they're highly accurate, auditable, and specifically tailored to the unique context of your business. Trusted by industry leaders like HSBC, Qualcomm, and The Economist, Contextual AI empowers you to move beyond the demo stage and into full-scale production, transforming how your enterprise operates.

Key Features:

  • Deploy Production-Ready RAG 2.0:Leverage our innovative RAG 2.0 technology that pre-trains, fine-tunes, and aligns all components (extraction, retrieval, and generation) as a single, integrated system. You'll see higher accuracy right out of the box, with the ability to fine-tune for your specific needs in a matter of weeks.

  • Build in Minutes, Not Months:Skip the headaches of piecing together disparate technologies. Our platform provides everything you need to get started, enabling you to build production-grade RAG applications in minutes, not months.

  • Ensure Enterprise-Grade Security:Rest easy knowing your data is protected. Contextual AI offers robust security and control features, making it suitable for even the most highly regulated industries. Access is tailored to meet stringent security and compliance requirements.

  • Deploy Flexibly:Maintain full control of your data with flexible deployment options. Choose our fully managed SaaS, your own Virtual Private Cloud (VPC), or even on-premises deployment.

  • Transform Documents into Actionable Knowledge:Our unique extraction pipeline excels at processing large volumes of complex documents – technical documentation, financial reports, research papers – that often challenge typical RAG systems.

  • Utilize Specialized Post-Training Techniques:Adapt models to your specific needs while maintaining the robust performance of our core system. Improve your system through customer-controllable feedback collection.

  • Access Pre-Built Agent Templates:Accelerate your time-to-value with our suite of pre-built agents, designed for complex knowledge-intensive workloads. Each template provides a production-ready foundation that you can customize.

  • Benefit from Advanced Multimodal Retrieval:Go beyond text and incorporate diverse data types. Contextual AI allows you to retrieve information from various sources, ensuring comprehensive and accurate results.

  • Achieve Consistent Accuracy at Scale:Maintain retrieval performance even with vast amounts of complex, noisy data. Contextual AI is built to scale with your enterprise's growing needs.

  • Ensure Fine-grained Attribution:Provide end-users with clear attributions to relevant, up-to-date data sources. This transparency fosters trust and confidence in the AI's responses.

  • Meet Robust Security Requirements:Deploy your RAG agents safely and confidently with a comprehensive suite of enterprise-grade security features, including SOC 2 compliance, query-time entitlements, and end-to-end encryption.

Use Cases:

  • Financial Services:Imagine your wealth management team instantly accessing critical information from financial reports, regulatory documents, and market research. Contextual AI makes this a reality, streamlining analysis and decision-making.

  • Technology & Engineering:Transform your technical documentation into a dynamic knowledge base. Your engineers can quickly search through design specifications, code repositories, and technical standards, accelerating R&D and improving collaboration.

  • Professional Services:Empower your legal and advisory teams with instant access to firm expertise. Contextual AI can synthesize expert call transcripts, search client deliverables, and cross-reference patents, driving productivity and enhancing client service.

Frequently Asked Questions

1. What is a RAG agent?

A RAG (Retrieval-Augmented Generation) agent is an AI system that combines the power of information retrieval with natural language generation. It can search through a vast amount of data to find relevant information and then use that information to generate human-quality text responses.

2. How does Contextual AI ensure the accuracy of its RAG agents?

Contextual AI utilizes RAG 2.0, an innovative approach that optimizes all components of the RAG system as a single unit. This eliminates compounding errors found in other RAG solutions and results in significantly higher accuracy. Additionally, you can fine-tune and align your agents using your own data to meet your specific requirements.

3. Can I integrate Contextual AI with my existing systems?

Yes, Contextual AI offers flexible deployment options and APIs that allow for seamless integration with your existing systems. You can deploy it in our fully managed cloud, your own virtual private cloud, or on-premises.

4. What kind of support does Contextual AI offer?

Contextual AI provides comprehensive support throughout your journey. Our team of RAG and Machine Learning experts will partner with you, providing guidance and support to ensure your success.

5. How do I get started with Contextual AI?

Simply click the "Request Access" button on our website or documentation page to request an API key and begin building your first RAG agent.

Conclusion:

Contextual AI empowers your enterprise to harness the full potential of AI. With its advanced RAG 2.0 technology, user-friendly platform, and robust security features, you can deploy AI solutions that are not only accurate and reliable but also tailored to the unique needs of your business. Experience the difference that specialized RAG agents can make and transform your operations with Contextual AI.


More information on Contextual AI

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Global Rank
1801471
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Month Visit
14.3K
Tech used

Top 5 Countries

70.96%
9.19%
5.44%
4.58%
3.19%
United States India Canada United Kingdom Belgium

Traffic Sources

51.05%
34.25%
7.37%
6.64%
0.54%
0.13%
Direct Search Social Referrals Paid Referrals Mail
Contextual AI was manually vetted by our editorial team and was first featured on September 4th 2025.
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