Contextual AI

We're #hiring a new Data Labeler: Finance in London, England. Apply today or share this post with your network.

We're #hiring a new Data Labeler: Hardware in London, England. Apply today or share this post with your network.

We're #hiring a new Senior Copy Editor in London, England. Apply today or share this post with your network.

We're #hiring a new Member of Technical Staff (Extraction) in Mountain View, California. Apply today or share this post with your network.

We're #hiring a new Member of Technical Staff (Full Stack) in Mountain View, California. Apply today or share this post with your network.

We're #hiring a new Member of Technical Staff (Research) in Mountain View, California. Apply today or share this post with your network.

Excited to share I’ve joined Contextual AI as the new Head of Growth! Looking forward to working with Jay Chen, and the Contextual team to help AI teams move beyond the demo and deliver GenAI ROI in 2025 and beyond.

We're #hiring a new PhD Research Intern (Winter) in Mountain View, California. Apply today or share this post with your network.

Beyond Demo-Grade AI: GTM Lessons from Contextual AI's Enterprise Journey We spoke with Douwe Kiela, CEO of Contextual AI, about building enterprise-ready AI solutions. Here are the key go-to-market lessons from their journey: → Solve production problems, not demo problems. While competitors chase impressive demos, Contextual AI focused on tackling the real challenges of enterprise deployment: hallucination, attribution, and data privacy. "A lot of companies are building cool demos that kind of show the potential of the technology, but then they have a hard time bridging the gap to a production deployment." → Let market pull guide product development. Instead of pushing solutions, they let enterprise problems shape their roadmap. "We're in a very fortunate position where we're basically not doing any outreach and folks are coming to us with their problems." → Design for deployment flexibility from day one. They built their infrastructure to support both on-premise and SaaS deployments, addressing crucial enterprise concerns about data privacy and security. → Focus on specialized excellence over general capabilities. Rather than chasing AGI, they're building "artificial specialized intelligence, where you take these models and then you make them very good at the one thing that an enterprise really wants to solve." → Filter for tech-forward customers early. They prioritize enterprises that "already know exactly, like, these are like the, I don't know, top 10 use cases that we're most interested in" - companies with clear AI strategies and implementation plans. These insights from Contextual AI demonstrate how focusing on real enterprise needs over AI hype can build sustainable competitive advantages. Listen to the full conversation with Douwe Kiela on Category Visionaries to learn more about their approach to enterprise AI innovation. https://lnkd.in/dud4P2kD #EnterpriseAI #B2BSaaS #StartupLessons #ProductStrategy #GoToMarket

What's better than spending Thanksgiving with your beloved friends and family? ... Spending 3 days in Vegas with your favorite Enterprise RAG company at AWS re:Invent, of course! Whether you work in Financial Services, Technology & Engineering, Professional Services, or any other knowledge-intensive environment, you need your Enterprise AI solution to be accurate, dependable, and secure. Let us show you how. Sign up below for a 30-minute meeting with one of our RAG experts! Douwe Kiela Mike K. Ahmad Raza Khan Rajiv Shah Samarth Madduru Chloe Ho See you there!