Blind Data·ing
(noun) Working with a wide variety of data from systems you don’t know or control
(noun) Working with a wide variety of data from systems you don’t know or control
Among the 3 Vs of data – Volume, Velocity, Variety – Variety continues to blindside data teams.
Nexla helps your team conquer data variety in 3 steps.
Converge across data and applications
Organized, discoverable, reusable, governed, and AI-ready
Create and deliver context to LLMs with MCP and RAG
data engineering capacity redirected from variety-related integration work to strategic projects
faster partner onboarding (reduced from 6 months to 3-5 days)
faster time to production for AI initiatives
reduction in data delivery turnaround time
Companies use Nexla to onboard customer, partner data sources, integrate applications, databases, and data warehouses for AI, operations, analytics use cases.
Handle data variety across 100s of data sources to create agents with Nexla’s agentic AI framework. No coding required. Leverage LLMs and vector databases for agentic RAG, and evaluate multiple models to optimize AI accuracy and costs.
Accelerate customer, supplier, and partner onboarding by conquering variety across internal and external apps, APIs, and data with the only AI integration platform that accesses, transforms, and integrates any data in any format.
Don’t wait for new data. Access variety of structured or unstructured data in any source. Then use ELT, ETL, APIs, streaming, or any other integration styles together to load data warehouses, databases, even spreadsheets on your own without coding.
Quickly turn any data variety across apps, APIs, DBs, and files into data products and common data model. Use workflows and any integration style – ELT/ETL, R-ETL, API integration, (S)FTP, streaming, and more – to integrate apps and keep data in sync.
Nexla solves data variety through its innovative connector architecture and AI-powered metadata intelligence. By creating Nexsets—virtual data products that serve as a universal interface—Nexla eliminates system dependencies and bridges the gap between data producers and consumers. This powerful abstraction layer enables seamless collaboration while supporting diverse data formats, all without complex coding or integration barriers.
Knowledge graph technology maps relationships between data elements across disparate systems
RESTful and streaming interfaces providing consistent data access patterns regardless of underlying complexity
Machine learning models continuously evaluate data structures to identify patterns, relationships, and semantic meaning
Algorithmic analysis of source systems automatically generates and maintains connector code, supporting both batch and real-time patterns
Nexla’s innovation in modern data integration and AI has been acknowledged in leading industry reports, awards, and peer reviews. Recognized for delivering cutting-edge solutions, Nexla continues to earn accolades for empowering enterprises with seamless, scalable, and trusted data solutions. Learn more about Nexla
Magic Quadrant for Data Integration
16+ Gartner Hype Cycle Recognition ’24-’25
Top-rated for Data Integration: ’22–’25
Cool Vendor for Data Fabric
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