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In the News: Nexla was named “a vendor to know” in CRN’s 2025 Big Data 100, recognized as one of the Coolest Data Management and Integration Companies driving innovation in big data, including data management, integration, analytics, and infrastructure.
In the News: Nexla has been recognized as a leading data technology innovator at the 6th Annual Data Breakthrough Awards. This prestigious program honors top global companies in data technology and received thousands of nominations worldwide.
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.
In the News: Nexla announced it is offering the simplicity of Nexla’s no-code data pipeline and RAG pipeline tools with NVIDIA NIM microservices.
In the News: Nexla unveiled an integration with Nvidia NIM aimed at enabling customers to more easily develop and deploy AI models and applications.
In the News: The complementary partnership combines the data integration vendor’s discovery and retrieval capabilities with the tech giant’s power to scale and secure AI development.
In the News: With NVIDIA NIM embedded in Nexla’s platform, organizations can build more relevant and efficient data pipelines.
