Contextual AI

Contextual AI envisions a future where enterprises harness the full potential of AI agents that securely and intelligently work with their own complex data, transforming critical business operations with unprecedented accuracy and trustworthiness.

Built on pioneering research in retrieval-augmented generation, our platform delivers scalable, modular AI solutions tailored for knowledge-intensive applications, ensuring data privacy and rigorous auditability at scale.

We exist to empower organizations across industries to unlock new capabilities and insights, driving meaningful advancements with AI that respects security and operational integrity. Through continuous innovation, we enable enterprises to confidently deploy AI agents that elevate their missions and competitive edge.

When we first looked into Contextual AI, what caught our attention wasn't just their impressive funding rounds or Fortune 500 client list — it was their refreshingly practical approach to enterprise AI. Founded by former Facebook AI researchers who actually helped pioneer RAG (Retrieval-Augmented Generation) technology, they're not just another AI startup making big promises.

The RAG Pioneers

Here's what makes this interesting: Contextual AI's founders didn't just jump on the RAG bandwagon — they helped build it. Douwe Kiela led the Meta research team that introduced RAG back in 2020, well before it became the buzzword it is today. This deep expertise shows in their platform's sophistication.

Enterprise-Grade from Day One

While many AI companies start with consumer apps and pivot to enterprise later, Contextual AI built for enterprise from the ground up. Their platform tackles the thorny issues that keep CTOs up at night: data privacy, accuracy at scale, and security. We're particularly impressed by their focus on auditability — something that's crucial but often overlooked in AI deployments.

Where They Really Shine

The standout feature is their specialized RAG agents for business applications. Think of it as RAG 2.0, with clever additions like instruction-following rerankers and text-to-SQL systems. For industries dealing with sensitive data (banking, finance, professional services), this level of sophistication is a game-changer.

While they're still a young company (founded in 2023), their rapid adoption by heavyweights like Qualcomm and HSBC speaks volumes. The recent $80 million Series A, backed by investors including Bezos Expeditions and Nvidia's venture arm, suggests we're not the only ones seeing their potential in the enterprise AI landscape.