Why Context Engineering Will Define the Next Era of Enterprise AI
In the News: Saket Saurabh, Nexla CEO, explains why enterprise AI’s future lies in context engineering: building the right data, memory, and workflows for smarter, more reliable AI.
In the News: Saket Saurabh, Nexla CEO, explains why enterprise AI’s future lies in context engineering: building the right data, memory, and workflows for smarter, more reliable AI.
In this episode of Software Engineering Radio, listen how the Model Context Protocol is transforming AI system architecture, and empowering developers with agentic workflows
After years of solving data variety, we built Express, a conversational data engineering platform that turns complex data work into simple, prompt-driven pipelines making data engineering accessible to everyone.
Nexla, the leading integration platform for AI applications, today announced the launch of Express, a conversational data engineering platform that makes it simple for anyone to work with data.
In the News: Watch Nexla CEO Saket Saurabh analyze the Fivetran-dbt Labs merger with John Furrier on theCUBE + NYSE Wired, exploring its strategic impact on the evolving data ecosystem.
The Fivetran–dbt merger is creating ripples across the data world. Customers face rising costs and vendor lock-in, while platform giants gain leverage. Learn what the market really thinks and how to stay flexible amid the change.
In the News: Saket Saurabh sits down with Joe Reis to discuss why context, not models, defines competitive advantage in AI and how enterprises must rethink data strategy.
In the News: In this episode of theCUBE + NYSE Wired Mixture of Experts series, Nexla Co-Founder & CEO Saket Saurabh joins host John Furrier to discuss the future of AI and data. From innovations in context engineering to the rise of AI factories, Saket shares insights on the challenges and opportunities shaping enterprise AI today.
In the News: Nexla is featured on DBTA Big Data Quarterly’s 2025 “Big Data 75,” recognized among the innovators driving progress in data collection, storage, and analytics.
In the News: Forbes recognizes how Nexla defines and enables automated data mapping—matching data fields across systems to reduce errors and fragmentation. By applying AI and machine learning to integration, Nexla helps make financial data flows more accurate and resilient.
In the News: Nexla CTO Amey Desai shares how Nexla supports MCP, enabling secure, AI-native data integration through Nexsets and agentic orchestration without compromising standards.
In the News: Nexla CEO Saket Saurabh explains how data variety—differences in formats, sources, and structures—is a major reason AI initiatives fail to scale. You’ll learn about modern strategies like virtual data products and agentic integration.