Neum AI - ETL for LLMs

Unlocking the Power of Neum AI: Revolutionizing Context Management for LLM Applications

Could Neum AI be the game-changer you've been waiting for in the world of LLM applications? In this comprehensive article, we explore the fascinating startup Neum AI, its visionary founders, the problems it aims to solve, and the innovative solutions it offers to the complex world of context management. Join us on a journey through the minds behind this exciting venture and discover how Neum AI is set to reshape the landscape of AI application development.

Who Are the Visionaries Behind Neum AI?

Before we delve into the intricate details of Neum AI's offerings, let's get to know the brilliant minds that gave birth to this groundbreaking startup.

David de Matheu - The Gaming Guru

David started his career working in gaming, communications, and developer experience at Microsoft. His passion for democratizing technology, especially within the developer community, laid the foundation for Neum AI's mission to simplify complex context management in AI applications.

Kevin Cohen - The Data Dynamo

Originally from Venezuela, Kevin is a Software Engineer with over 5 years of experience at Microsoft, where he specialized in building Data and AI platforms. His journey led him to Circle, where he contributed to the development of services for ingesting and labeling blockchain data. Now, he's the driving force behind Neum AI, on a mission to help companies synchronize data sources with vector stores for generative AI applications.

From coding to cooking, these founders are as diverse as their experiences, and together, they're determined to make Neum AI a game-changer in the world of AI.

Unpacking Neum AI: A Glimpse into the Future of LLM Applications

Now that we've met the masterminds, let's dive deeper into Neum AI's vision and the innovative solutions it brings to the table.

Why Do We Need Neum AI?

Building AI applications, especially those powered by Large Language Models (LLMs), may seem straightforward at first. However, when it comes to managing context for prompts, things get complicated. Data must be seamlessly synced from various sources and consistently maintained. This challenge is precisely what Neum AI seeks to address.


While developing Generative AI applications, the Neum AI team identified a critical issue - the need for accurate and up-to-date context. When searching over a vector database, outdated data can lead to poor search results and a decline in context quality. Maintaining synchronization between multiple data stores became a daunting task, especially for applications dealing with constantly changing documents and source data.

Some real-world use cases that inspired Neum AI's creation include dynamic food menus, chatbots with the latest documentation, and avoiding throttling by AI providers due to repeated embeddings.


Neum AI comes to the rescue, ensuring your context in prompts is always accurate and up to date. It empowers you to establish a pipeline that synchronizes data between source and sink, akin to FiveTran or Azure Data Factory but tailored for LLM data. Thanks to its APIs, the process is streamlined, and context management becomes a breeze.

As part of this synchronization process, Neum AI automatically transforms your data into vector form. This allows you to leverage advanced vector search techniques for lightning-fast semantic lookups, ensuring the context added to your prompt is not only precise but also incredibly useful.

Neum AI doesn't limit you to a specific set of data sources or embedding models. It offers extensibility, letting you connect various data sources, bring your custom embedding model, and choose from different vector stores. Once you've created the pipeline, Neum AI takes care of syncing, manageability, observability, and even alerts you if anything goes awry. This ensures your data remains fresh, and your prompts always feature accurate context.

Intriguingly, Neum AI goes a step further, allowing you to set schedules for pipeline runs and even offers real-time support, ensuring you have all the tools you need to stay ahead in the fast-paced world of AI.

Is It Really That Hard Without Neum AI?

You might be wondering if managing context without Neum AI is an insurmountable challenge. While it's not impossible, it can be a time-consuming and complex task for data engineers and developers. Let's break down the essential tasks involved:

  • Optimizing Embeddings:
    Ensuring that only the right vectors are re-embedded when data changes can be a tricky endeavor.
  • Building Alerting Systems:
    You need to set up alerting mechanisms to monitor the pipeline and tailor them to your specific source and sink.
  • Hosting Custom Embedding Models:
    If you're using custom embedding models, you must handle hosting and running them as part of your pipeline.
  • Real-Time Requirements:
    Achieving real-time capabilities can be challenging and time-consuming, depending on your project's complexity.

While these tasks aren't insurmountable, they can divert your attention from the core business logic of your application. Neum AI steps in to handle the tedious aspects, allowing you to focus on what truly matters.

Why Choose Neum AI?

So, what sets Neum AI apart from the competition? To answer this question, let's delve deeper into the unique attributes of Neum AI and why it should be your go-to solution.

  • A Global Perspective:
    Kevin and David's diverse backgrounds, hailing from Venezuela and Costa Rica, give Neum AI a global perspective. Their shared journey from college days, where they built bots and experimented with recipes, reflects their unique blend of creativity and technical prowess.
  • Proven Expertise:
    David's 5+ years at Microsoft, working on developer experience for Azure Communication Services, and Kevin's 6+ years at Microsoft, building Big Data and AI platforms, speak volumes about their technical expertise. They've both been involved in high-stakes projects that have made it into the hands of top executives, demonstrating their ability to deliver at scale.
  • Passion for Simplification:
    The founders share a passion for building large-scale systems that are powerful yet simple for developers to use. This passion, honed through experiences like working with Azure Data Factory, drives Neum AI to offer an easy-to-configure, scalable, and secure data solution for companies utilizing vector stores for generative AI applications.

Neum AI isn't just a product; it's a manifestation of the founders' shared vision and dedication to simplifying the complexities of AI application development.

Conclusion: Neum AI - Where Simplicity Meets Innovation

In the world of AI application development, where context is king, Neum AI emerges as a beacon of hope. With a team of visionary founders, a clear understanding of the challenges faced by developers, and an unwavering commitment to simplification, Neum AI is set to redefine context management for LLM applications.

Whether you're building a chatbot, a recommendation system, or any AI application reliant on accurate and up-to-date context, Neum AI has the potential to be your trusted partner. By automating the intricacies of data synchronization and vector embedding, it frees you to focus on the creative aspects of your application.

As we venture further into the AI-driven future, Neum AI is undoubtedly a startup to watch. Its unique blend of simplicity and innovation may well be the catalyst that propels your AI projects to new heights.

Are you ready to explore the possibilities of Neum AI? Visit their website here and embark on a journey towards AI excellence with a partner that understands the intricate dance of data and context.