❗ Don't miss our TechTalk on AWS Bedrock happening in just a few hours! Join Sathya Balakrishnan from AWS and Gabriel C. from Nexla to learn how to revolutionize your data integration pipelines for #GenerativeAI with Nexla and #AmazonBedrock. ❓ Why you should attend: - Discover how to seamlessly feed unstructured data into Amazon Bedrock including using S3. - Learn the secret to turning text data into powerful vector embeddings and structured data. - Get insider tips on scaling data integration specifically for generative AI applications. - Explore real-world examples of Nexla’s RAG capabilities transforming AI projects. Live demo highlights: - A comprehensive introduction to Nexla and Amazon Bedrock. - Step-by-step guide to direct data integration methods. - Real-life demonstrations of how Nexla’s RAG capabilities enhance AI. 👉 Register now to secure your spot! https://lnkd.in/ePKdVJUk #TechTalk #AWSBedrock #DataIntegration #GenAI
Nexla
Software Development
San Mateo, California 3,360 followers
Enterprise-Grade Data Integration
About us
Nexla is an enterprise data integration platform. Instead of relying on leaky data pipelines, Nexla abstracts data at its source & delivers transformed data at time-of-use – fueling rapid data ingestion, advanced analytics and Gen AI applications. Data-driven companies like DoorDash, Instacart, Poshmark, & LinkedIn rely on Nexla.
- Website
-
https://www.nexla.com/?utm_source=linkedin&utm_medium=company-page
External link for Nexla
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Mateo, California
- Type
- Privately Held
- Founded
- 2016
- Specialties
- Data Operations, Data Infrastructure, Machine Learning, Artificial Intelligence, Big Data, Data Fabric, Data Management, Data Integration, Data Ingestion, and Retrieval Augmented Generation
Products
Nexla
Data Fabric Software
Nexla is an enterprise-grade data integration platform, with the mission to make data ready-to-use available to everyone. Built on a Data Fabric architecture, Nexla has earned a Gartner Cool Vendor for its data platform that brings together multi-speed data integration, data preparation, monitoring, and governance into a unified no-code / low-code interface. At the core of Nexla is the approach of auto-generating Data Connectors and Data Products (Nexsets). Nexsets are logical data products that can be shared, discovered, annotated or even transformed into new Nexsets. Connecting Nexsets with different data systems generates ETL/ELT integration, streaming data integration, API integration, API Proxy, Data APIs, and more.
Locations
-
Primary
N Ellsworth Ave
San Mateo, California 94401, US
Employees at Nexla
-
Ashmeet Sidana
Chief Engineer, Engineering Capital
-
Debora Tomlin
Executive Management | Board Director | VC Advisor | NortonLifeLock, Symantec, AAA, Capital One, USAA | Director LiveRamp (NYSE: RAMP) | Director…
-
Saket Saurabh
Co-founder & CEO at Nexla
-
Niket Sourabh
Co-Founder @ Nexla | Engineering & Non-Profit Leadership
Updates
-
👩💻 Our GenAI product tech demo is only a little over a week away! What We’ll Cover: - Nexla’s Data + AI Integration Platform - Ingesting unstructured data like PDFs - Vectorizing data with embedding services - Using vector databases for storage and retrieval - Building RAG models for contextual AI responses - Real-world customer examples - Live Q&A: 📌 Register now: https://lnkd.in/gJVNMsBM #TechDemo #GenerativeAI #DataIntegration
Accelerating Gen AI Use Cases: From Data Ingestion to Production with Vector Databases and RAG Models
nexla.com
-
👀 Sneak peek into our upcoming TechTalk on AWS Bedrock with Sathya Balakrishnan from AWS and Gabriel C. from Nexla This coming Thursday, learn how to streamline and scale your data integration pipelines for #GenerativeAI with Nexla and #AmazonBedrock. What you’ll learn: - Feed unstructured data into Amazon Bedrock without S3. - Turn text data into vector embeddings and structured data. - Scale data integration for generative AI. - Real-world applications of Nexla’s RAG capabilities. Live demo includes: - Introduction to Nexla and Amazon Bedrock. - Direct data integration methods. - Examples of Nexla’s RAG capabilities enhancing AI. 👉 Register now: https://lnkd.in/ePKdVJUk #TechTalk #AWSBedrock #DataIntegration #GenAI
-
Nexla reposted this
🚨 Today's CrowdStrike Issue: A Lesson in Data Resilience 🚨 The widespread BSOD caused by the faulty CrowdStrike update today underscores a critical point: the importance of reliable and resilient data pipelines. Just as a single update can disrupt entire systems, a break in your data pipeline can have far-reaching impacts. At Nexla, we understand that data is the backbone of modern business operations. Reliable data engineering practices ensure that your data flows smoothly, even when unexpected issues arise. Here’s what we can learn: • Resilience is Key: Just as systems need to recover from a BSOD, data pipelines must be designed to handle disruptions without compromising data integrity. • Automation Matters: Automated data flows reduce the risk of human error and ensure consistency, much like automated recovery processes can restore system stability. • Proactive Measures: Monitoring and proactive measures can detect issues early, just as preemptive system checks can prevent crashes. Let’s use today’s incident as a reminder to fortify our data strategies. With Nexla, you can build resilient, automated, and proactive data pipelines that keep your business running smoothly, no matter what.
-
🤝 We are thrilled to welcome two new outstanding professionals to our Customer Success team: Nita Ajith and Preyas Meshram! Looking forward to see your significant impact on our customers and Nexla's growth. #DataIntegration #DataCareer #CustomerSuccess
-
🎯 AI is only as good as the data that goes into it. Discover how to optimize your GenAI initiatives at our tech demo: "Accelerating GenAI Use Cases: From Data Ingestion to Production with Vector Databases and RAG Models" What We’ll Cover: - Nexla’s Data + AI Integration Platform - Ingesting unstructured data like PDFs - Vectorizing data with embedding services - Using vector databases for storage and retrieval - Building RAG models for contextual AI responses - Real-world customer examples - Interactive Q&A: 📌 Register now: https://lnkd.in/gJVNMsBM #TechDemo #GenerativeAI #DataIntegration
Accelerating Gen AI Use Cases: From Data Ingestion to Production with Vector Databases and RAG Models
nexla.com
-
📣 Join us as Sathya Balakrishnan (Senior Solutions Architect at #AWS) and Gabriel C. (Solutions Architect at Nexla) delve into scaling data integration for #GenerativeAI with #AWSBedrock. Register here: https://lnkd.in/ePKdVJUk Here's what you'll learn from the session: ✏ Efficient methods to feed unstructured data into Amazon Bedrock including via S3. ✏ Techniques for turning text data and documents into vector embeddings and structured data. ✏ Practical insights into scaling data integration for generative AI with Nexla and Amazon Bedrock. ✏ Real-world applications of Nexla’s RAG data flow capabilities in enhancing AI deployment. #DataIntegration #DataEngineering #GenAI
How to Scale Data Integration for Generative AI with Nexla and Amazon Bedrock
nexla.com
-
🌟 A Testament to Nexla's Power: Glovo, a leading delivery platform in 25 countries, slashed grocery store partner integration time from 6 months to just 3-5 days with Nexla’s robust data integration platform. In the words of Inma Orts, Senior Technical Account Manager at Glovo, “Nexla allows us to integrate with partners in an easy and user-friendly way.” This remarkable transformation expanded their partner base, boosted operational efficiency, and enhanced customer experience. 🚀 Read the full case study here: https://lnkd.in/g9EwPNnc #DataIntegration #Glovo #SuccessStory #DeliveryPlatform
Case Study: Glovo Achieved a 45x Increase in Partner Integration Speed and Elevated Customer Experience with Nexla
nexla.com
-
In this article, you will learn about the main components and best practices for implementing AI infrastructure, including considerations like data storage and processing, hardware for training and inference, and model deployment and hosting. #AI #AIinfrastructure
AI Infrastructure: Tutorial & Best Practices
Nexla on LinkedIn
-
🚀 Unlock Operational Efficiency with Nexla's Data Integration Platform for #AssetManagement Common data integration challenges that asset management companies face: 🌐 Data Variety: Managing different formats and protocols. 🖥️ Legacy Systems: Integrating with outdated systems still in use. ⏱️ Data Timeliness: Ensuring real-time data processing. 🌊 Data Fragmentation: Consolidating fragmented data streams for a unified view. Here’s how Nexla helps: 🗂️ Handling Diverse Data Formats: Supports all data formats, ensuring seamless integration across systems. 🏗️ Bridging Legacy Systems: Maintains operational efficiency during transitions between old and new systems. ⚡ Real-Time Data Processing: Ensures rapid data delivery, minimizing risks and maximizing profits. 🌐 Consolidating Data Streams: Unifies fragmented data streams, enhancing decision-making and operational efficiency. Discover more insights and see a real-world case study in our full blog: https://lnkd.in/gV-yReeZ #DataIntegration #FinTech #DataManagement #FinancialData
Overcoming Data Integration Challenges in Asset Management with Nexla
nexla.com