Why Context Engineering Is Key to the Next Era of Enterprise AI
In the News: betanews.com: In this Q&A, Saket Saurabh explains why context engineering is key to reliable, compliant, and intelligent enterprise AI workflows.
We’re excited to tell the story of how Nexla helped accelerate Instacart’s partner integration. Instacart shaved 1 – 2 months off of their partner integration timeline using Nexla’s platform. It’s been able to integrate with partners using wildly different data formats—APIs, CSVs via FTP server, and more. But don’t take our word for it: “Nexla makes sharing data between companies, in any format, really easy,” said Brandon Leonardo, Co-Founder, Instacart.
Intsacart partners with 170 retailers. Since every retailer’s data is different, such custom integration became a bottleneck. With Nexla’s innovative technology, Instacart complements its existing systems to support additional data sources and formats.
We are so grateful to work with innovative partners who are building products we love like Instacart. Check out the case study to learn more.
In the News: betanews.com: In this Q&A, Saket Saurabh explains why context engineering is key to reliable, compliant, and intelligent enterprise AI workflows.
In this third episode of DatAInnovators & Builders, BigPanda’s Alexander Page shares how his team designs AI agents that internalize corrections, evaluate tool use, and scale reliably in production.
While it is true that AI offers enormous opportunities for innovation and success, its reliance on personal data raises urgent concerns about privacy, ethics, and governance