Senior Product Manager

Nexla and vespa.ai partner to simplify real-time AI search across hundreds of enterprise data sources. By GlobeNewswire February 18, 2026 Native integrations reduce setup time and ongoing maintenance by making it easy to ingest, index, and continuously update data from enterprise systems SAN MATEO, Calif., Feb. 18, 2026 (GLOBE NEWSWIRE) - Nexla, the enterprise-grade AI-powered data integration platform for agents, today announced a strategic partnership with Vespa.ai, the creator of the leading AI search platform for building and deploying large-scale, real-time AI applications. The partnership eliminates one of the biggest bottlenecks in AI application development: getting production-ready data into scalable, high-performance AI search and retrieval systems. Organizations building AI-powered applications face a critical challenge: connecting and preparing enterprise data from hundreds of disparate sources before it can power intelligent search and retrieval. This data variety - structured/unstructured, batch/ streaming, modern/ legacy, creates complexity that slows AI deployment to production. With over 500 pre-built connectors, Nexla addresses this challenge by transforming data variety from any enterprise system into production-ready data products for AI and agents, while Vespa provides the distributed search, vector retrieval, and real-time inference capabilities required to serve AI-powered applications at scale. Together, they create a seamless path from raw enterprise data to intelligent, production-grade AI search. As part of the partnership, Nexla launched native Vespa integrations that make working with Vespa faster and simpler: * Vespa Connector in Nexla: Seamlessly pipes data from sources such as Amazon S3, PostgreSQL, Snowflake, APIs, and even existing vector databases directly into Vespa, without custom code or complex configurations. * Vespa Nexla Plugin CLI: Automatically generates draft Vespa application packages, including schema files, directly from Nexla's metadata-defined data products (Nexsets), dramatically reducing setup time and configuration errors. Advertisement These capabilities enable teams to migrate from other vector databases, sync operational databases into Vespa, or continuously update Vespa indexes using batch, streaming, or CDC pipelines, all without writing code. The combined solution is especially valuable for organizations building or scaling: * AI search and RAG applications requiring hybrid retrieval across vectors, keywords, and structured filters * High-throughput, low-latency systems serving billions of documents with real-time updates * Complex ranking and inference pipelines, including multi-phase ranking and LLM integration Advertisement Nexla prepares and governs the data; Vespa executes advanced retrieval, ranking, and inference where the data lives. "Data integration and intelligent retrieval are two sides of the same coin in modern AI architectures," said Saket Saurabh, CEO and Co-Founder of Nexla. "Nexla unlocks data variety, transforms it, and delivers enterprise-grade, ready-to-use data products; Vespa.ai makes that data searchable and actionable in real time. This partnership creates a powerful combination for organizations building agentic RAG, recommendation systems, and AI-powered search at scale. Together, we're removing the friction between data preparation and intelligent retrieval, so teams can focus on building transformative AI experiences instead of wrestling with data plumbing." "Vespa is built for teams that need precision, performance, and real-time control at scale," said Jon Bratseth, CEO of Vespa.ai. "By partnering with Nexla, we're removing friction between data preparation and real-time execution, so teams can move from raw enterprise data to production-grade AI search and RAG systems faster and with far more control." https://www.nexla.com/nexla-vespa-ai About Nexla Nexla is an enterprise-grade, AI-powered data integration platform for agents that unlocks data from any source and transforms it into production-ready data products for AI and agents. With support for 500+ pre-built connectors and multiple integration styles - including ELT, ETL, streaming, APIs, and agentic RAG. Nexla enables teams to build and manage data flows without writing code. Trusted by leading enterprises, Nexla processes over one trillion records per month across industries. Learn more at nexla.com. About Vespa.ai Vespa.ai is a powerful platform for developing real-time search-based AI applications. Once built, these applications are deployed through Vespa's large-scale, distributed architecture, which efficiently manages data, inference, and logic for applications handling massive datasets and high concurrent query rates. Vespa delivers all the building blocks of an AI application, including vector database, hybrid search, retrieval augmented generation (RAG), natural language processing (NLP), machine learning, and support for large language models (LLM) and vision language models (VLM). It is available as a managed service and open source. Learn more at vespa.ai. Media Contact Jayashree Rajan [email protected]

Nexla launches Express: A conversational platform for AI data engineering. * Craig Risi Software Architect | Game Designer| Writer | Speaker Nexla recently introduced Express, a conversational data engineering platform designed to dramatically lower the barrier for building data pipelines for AI applications. The platform lets users describe the data they need in natural language - for example, "pull customer data from Salesforce, merge it with Google Analytics, and create a data product" - and the system automatically discovers, connects, and transforms the right sources into secure, production-ready pipelines. Express is powered by Nexla's agentic AI framework, which understands user intent, locates the data, and handles transformation without requiring manual coding. This enables developers, analysts, and even business users to self-serve their data needs in minutes, eliminating the delays and complexity often associated with traditional data engineering work. The platform is immediately available as a standalone product with usage-based pricing, making it accessible to individuals and small teams. Nexla says that Express complements its broader data integration platform, helping to accelerate new users' onboarding and adoption. Nexla also outlines a range of use cases for Express: analysts can build customer dashboards in minutes; AI engineers can stitch together rich context from databases, documents, and APIs; claims teams can convert policy documents into structured data; marketing managers can connect campaign and sales systems to measure ROI in real time; and operations teams can aggregate logistics data across multiple providers, all without needing to write pipeline code. Saket Saurabh, CEO and co-founder of Nexla, in a GlobeNewswire article, described the launch as "data engineering transformed into context engineering," adding that the platform allows "anyone who knows the outcome they want... to work with data conversationally and reliably... in minutes." Under the hood, Express builds on Nexla's existing metadata-driven integration technology, which has been extended with conversational agent capabilities. Earlier this year, Nexla expanded its agentic AI foundation through deep integration with its no-code GenAI tools and retrieval-augmented generation (RAG) pipeline architecture. By comparison, Databricks offers Databricks Assistant, which also supports conversational queries over data. This assistant helps users generate SQL or Python code, explain complex queries, and even fix code errors, all within the context of the user's workspace. It's well-suited for data engineers and analysts familiar with Databricks, but doesn't fully automate end-to-end pipeline assembly in the same way Express does - it's more of a code-generation and support tool than a no-code workflow builder. Snowflake is another strong contender. With Snowflake Intelligence, the company is building conversational agents on top of its data platform: Cortex Agents enable reasoning over structured and unstructured data, Cortex Analyst supports natural-language to SQL querying, and Cortex Search allows semantic search over document repositories. This architecture provides rich context with metadata and lineage for conversational AI, but unlike Express, Snowflake's model is tightly coupled to its own storage and compute engine rather than offering a broad "pipeline-as-agent" experience./p> In the open-source space, Airbyte is often used for data integration, but it does not currently emphasize conversational or agentic data workflows; it's more focused on traditional ETL/ELT pipelines. Meanwhile, platforms like KNIME offer visual, modular data flow construction with a no-code interface, but lack pervasive natural-language conversation or autonomous agent orchestration. With Express, Nexla aims to solve a critical bottleneck in AI adoption: making it faster, easier, and more secure for all users, not just data engineers, to ready data for AI. The company is positioning its new tool as a key enabler for "AI-ready" data access at the speed and scale modern enterprises demand. Craig Risi is a man of many talents but has no sense of how to use them. He could be out changing the world but prefers to make software instead. He possesses a passion for software design, but more importantly software quality and designing systems in a technically diverse and constantly evolving tech world. Craig is also the writer of the book, quality by design: designing quality Software systems, and writes regular articles on his blog sites and various other tech sites around the world. When not playing with software, he can often be found writing, designing board games, or running long distances for no apparent reason. This content is in the devops topic. Related sponsors.

Nexla partners with Microsoft to supercharge Microsoft 365 Copilot with access to 500-plus enterprise data sources. New integration enables Microsoft 365 Copilot users to seamlessly connect and leverage a wide array of third-party and internal data, accelerating enterprise AI productivity and unlocking richer business insights SAN MATEO, Calif., Nov. 18, 2025 (GLOBE NEWSWIRE) - Nexla, an integration platform for GenAI applications, today announced a collaboration with Microsoft to empower Microsoft 365 Copilot users with seamless access to over 500 enterprise data sources, dramatically expanding the AI assistant's capabilities. Through this new collaboration, Nexla's robust integration platform, which features more than 500 pre-built, production-ready connectors, will enable organizations to effortlessly connect a wide variety of data sources-both internal and external-directly into Microsoft 365 Copilot, without the need for custom development or complex integrations. "Nexla's collaboration with Microsoft will unlock new capabilities for enterprises trying to fully leverage their internal data across Microsoft 365 and other third-party applications by expanding the collective connector universe. This ensures that Microsoft 365 Copilot users can tap into accurate, context-rich information, turning everyday interactions with Copilot even when using third-party applications," said Saket Saurabh, CEO and co-founder of Nexla. The collaboration operates through a structured process designed to maximize the value of organizational data within the Microsoft ecosystem: * Ingestion: Nexla connects to an organization's various data silos, including documents, applications, and databases, to aggregate all relevant internal data. * Preparation: Nexla's AI-powered engine processes, standardizes, and governs this data, automatically generating high-quality data products (Nexsets). * Enhancement: These AI-ready data products are delivered into the Microsoft ecosystem, providing the essential internal context to enhance the effectiveness of Microsoft 365 Copilot. * Application: When users query their internal data in natural language, Copilot responds with insights grounded in data prepared by Nexla, ensuring results are accurate, reliable, and context-aware. "By integrating Microsoft 365 Copilot with Nexla's AI-powered Nexsets, we're enabling organizations to realize the full potential of their internal data by bringing secure, governed context directly into the Copilot experience," said Chantrelle Nielsen, Director of Product Management at Microsoft. "This collaboration gives customers a competitive edge by embedding rich, trusted insights into users' everyday workflows, making decision-making smarter, faster, and more intuitive." To learn more about Nexla and the Nexla Integration Platform, please visit https://www.nexla.com. About Nexla Nexla is a data integration platform powered by AI, for AI. The company's platform allows businesses to integrate data, applications and APIs from any source at any speed to deliver GenAI across analytics and data science, B2B and operations. Leading companies, including DoorDash, LinkedIn, Johnson & Johnson and LiveRamp, trust Nexla to integrate mission-critical data and make it AI-ready, accelerating GenAI projects. Nexla makes data users and developers up to 10X more productive and ensures that data and pipelines are governed and secure by design. To learn how to overcome data quality and consistency challenges for AI projects, visit https://nexla.com.