Optimize Data for LLMs

Take AI from Demo to Production

Deliver enterprise-grade Generative AI (GenAI) fast with AI-ready data and accurate results.

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Nexla's GenAI Workflow
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Nexla's GenAI Workflow
Gartner

At least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or unclear business value.

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Deliver Accurate Enterprise-grade AI Fast

Leading companies have delivered accurate AI with clear business value in days, not months, to personalize the customer experience, streamline processes, and automate tasks.

Personalize the Customer Experience

GenAI can be used to drive a personalized, interactive experience with customers by personalizing content, search, and more. With Nexla, you can access any structured and unstructured data, from purchase to website analytics, to create personalized campaigns or present personalized content as you interact with customers. Domain experts can directly access, integrate, and create RAG pipelines that deliver this content on their own, fast, without the need for specialized engineering and code.

Bloomreach Delivers AI-Powered Customer Experience with RAG
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Nexla Case Study: Insurance

Streamline Document-driven Processes

Document-driven processes are typically people-intensive due to the complexity of handling unstructured data.

With Nexla, companies streamline workflows like customer and partner onboarding, contract origination and management, procurement, claims processing, risk assessment, and transportation and logistics by automatically converting documents into structured data products. This enables vector storage, agentic RAG-powered automation, and faster decision-making—all without coding.

Streamlining Claims Data Integration for a Major Insurance Provider
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Automate Research

Research takes a lot more than search. It takes experts a lot of time and effort. GenAI is ideally suited for automating many of the tasks involved in research. But most integration tools don’t support unstructured data well, or prepare it to be used with AI.

Nexla has successfully automated research across insurance and financial services, portfolio and company analysis, legal proceedings, compliance, healthcare and life sciences. With Nexla, companies have accessed structured and unstructured data, including all kinds of documents, without coding, embedded data in their vector database of choice, and built agentic RAG pipelines in days that delivered accurate results.

How Nexla Delivers Enterprise-grade AI

With Nexla, you can integrate all your data and implement agentic AI in days without coding, on an enterprise-grade platform powered by AI. Avoid hallucinations by accessing all the data you need and transforming it into high-quality, AI-ready data with built-in governance. Then build agentic RAG using the latest innovations in agentic AI to help deliver accurate results.

Access
Any Data

Access any structured and unstructured data from documents and 100s of different systems and APIs using ELT/ETL, R-ETL, API integration, (S)FTP, streaming and more. Nexla uses metadata intelligence powered by AI, to automatically turn any source data into virtual data products called Nexsets that are reusable anywhere.

Create
AI-ready Data

When Nexla creates Nexsets, it generates validation rules for data and schema, and lets you add your own, all to make sure data is high-quality and AI-ready. Nexsets can also be directly accessed by AI using NOVA, Nexla’s agentic interface. Nexla also provides built-in agentic chunking and incremental load for leading vector databases.

Implement
Agentic RAG

Integrate any data and leverage the latest in agentic RAG – query rewriting, agentic retrieval, re-ranking, multi-LLM usage, grading, model orchestration, and more – together, without coding. Nexla supports all your AI infrastructure, including over 20 LLMs. Use point-and-click operations or AI prompts to deliver AI in days, not months.

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Support for All Your AI Needs

Companies rely on Nexla to support all their different uses of GenAI across the enterprise, whether it’s to extract data from the full variety of structured and unstructured data, to build agents or multi-agent orchestration, or to deliver wide range of chatbots.

Extract Data from Text
and Docs

Quickly turn any unstructured or structured data into AI-ready data products for immediate use with any vector database, and any LLM. Access all the data you need and expose it to apps and agents using connectors, MCP, or APIs. Nexla uses metadata intelligence, powered by AI, to automatically create Nexsets, virtual structured data products. Then use Nexla’s agentic chunking or other algorithms to ensure the best results with RAG for each project.

Implement the Latest in
Agentic RAG

Leverage the latest innovations in agentic RAG – query rewriting, agentic retrieval, re-ranking, multi-LLM usage, grading, model orchestration, Model Context Protocol (MCP), and NVIDIA acceleration – without having to code. Configure each RAG pipeline differently for project, with different LLMs and modules at each stage to get the best results. Automate using agentic multi-agent orchestration. Then let chatbots and apps access via an API or other protocol.

Nexla Chatbot
Build RAG-based
Chatbots

Nexla provides a built-in advanced RAG-based chatbot engine that lets you deliver a new chatbot fast. Access and load the right data into your vector database of choice, or let Nexla find the best data directly from Nexsets during retrieval. Then configure Nexla’s agentic RAG to choose the best LLMs and other options for each project. Built in governance lets users get the answers they need while protecting against data leaks and attacks.

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Ready to accelerate your AI Roadmap?

Schedule time with one of our GenAI data specialists for a free consultation & go from idea to reality in under 6 weeks.

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