Artificial Intelligence

In the News: Nexla landed a spot on the DBTA 100 2025, a list recognizing the top companies shaping the future of data. This year’s list highlights leaders driving innovation in AI, data integration, and digital trust.

In the News: Saket Saurabh, CEO and Co-founder of Nexla, joins Jennifer Pierce on Innovators Journey to talk about how Nexla continues to push the boundaries of AI and technology.

Success now hinges on how well businesses share data beyond their walls. Seamless intercompany data flow fuels smarter decisions, faster collaboration, and real growth. In this new era, connection is the key to competitiveness.

In the News: Co-founder and CEO at Nexla, discusses how data engineering is evolving to support generative AI—highlighting data quality, governance, and human-in-the-loop workflows for building trustworthy AI systems.

By combining an intelligent orchestration layer with a robust runtime engine, organizations can scale their AI integration capabilities while maintaining operational control.

Nexla contributes key innovations from its cutting-edge agentic AI framework to the open source community, reinforcing its commitment to advancing enterprise-grade AI technology.

In the News: Nexla’s latest release enhances no-code AI, RAG pipelines, and data governance for enterprise-grade GenAI accessibility.

Major release simplifies AI-ready data delivery, expands agentic retrieval to improve accuracy, introduces no-code data engineering assistant, and adds Data Product Marketplace to govern AI.

In the News: Saket Saurabh, CEO and Co-founder of Nexla, reveals his top 5 predictions for Generative AI (GenAI) in 2025 on Unite.ai. Don’t get left behind.

In the News: Don’t panic. Nexla CEO Saket Saurabh explains the impact of GenAI on data engineers and how to stay ahead as it reshapes integration practices.

In the News: Explore Unite.ai Interview Series with Saket Saurabh to learn what inspired him to co-found Nexla and about upcoming features and advancements in AI at Nexla.

Explore how businesses can overcome data bottlenecks, ensure seamless integration, and unlock the full potential of Generative AI at scale.