- Connect Google, Notion & Email Data to LLMs

Unveiling Revolutionizing AI Data Integration

In the fast-paced world of AI and machine learning, data is the lifeblood that fuels innovation and progress. But what happens when integrating data into your AI applications becomes a cumbersome, time-consuming task that hinders your team's productivity? That's where comes in. Founded in 2023 by a team of visionary experts, is poised to transform the way companies connect their AI apps to customer data. In this article, we'll dive deep into the world of, exploring its founders' backgrounds, the problem it aims to solve, and the ingenious solution it offers to streamline AI data integration.

Who Are the Visionaries Behind

Before we delve into the intricacies of, let's meet the brilliant minds that brought this startup to life:

Maximilian-David Rumpf: The CEO with an AI Research Background

Maximilian-David Rumpf, commonly known as Max, serves as the CEO of Max's journey began as a researcher at ETH Zürich, where he worked on AI accelerator design alongside the professor responsible for Google's TPU architecture. In early 2023, Max achieved a remarkable feat by developing MultiGPT, the first multi-agent AI that gained thousands of users and garnered approximately 500 GitHub stars within a single week. Max's exceptional skills earned him a German national excellence scholarship, a prestigious award bestowed upon only 0.5% of German students.

Lukas Ruflair: The Co-founder and CIO with a Passion for AI

Lukas Ruflair, the co-founder and Chief Information Officer (CIO) at, is a computer science enthusiast with a penchant for hacking. Lukas's academic journey led him to ETH Zurich, where he studied Computer Science. His previous achievement includes building one of the first multi-agent AI simulations, which gained immense popularity on Twitter, amassing millions of views.

Lotte Seifert: Enabling Data Empowerment

Lotte Seifert, another co-founder of, is determined to empower individuals to use their data for their benefit. She holds degrees in Computer Science from ETH Zürich and Economics from the University of St. Gallen. Lotte's notable accomplishment in early 2023 was the development of MultiGPT, a groundbreaking multi-agent AI that quickly gained thousands of clones and around 500 GitHub stars in just one week. Prior to her involvement with, Lotte contributed her expertise to Europe's first AI venture studio, Merantix, and organized the continent's largest student-run startup conference, featuring prominent guests such as Matt Cohler and Esther Wojcicki.

Georgijs Vilums: The Technical Mastermind

As the Chief Technology Officer (CTO) at, Georgijs Vilums brings a wealth of technical expertise to the team. His educational background includes studying Computer Science at ETH Zürich and receiving an excellence scholarship, a distinction awarded to the top 1% of students. Georgijs's prior experience involves designing and implementing low-level infrastructure for an AI startup, including tasks like memory allocation for high-performance Inter-Process Communication (IPC). He also developed a Just-In-Time (JIT) compiler for a custom dynamic programming language during his time at MIT.

Intriguingly, the team is anything but conventional. Each member possesses unique skills and quirks, making them the perfect ensemble for tackling complex AI data integration challenges. Lotte can fly a plane but can't drive a car, Georgijs remains loyal to Vim, and Max's relentless pursuit of truth in research is a defining trait. Lukas, on the other hand, is known for turning ideas into products at an astonishing pace. Now that we've met the team, let's explore what is all about.

How Did Come to Be?

Founded in 2023 and headquartered in the tech hub of San Francisco, is on a mission to revolutionize AI data integration. The startup's vision is encapsulated in its tagline: "Connect AI apps to your customer's data in an afternoon." takes the complexity out of data ingestion, interpretation, and storage, making it effortless for developers to connect customer data to their Language Model (LLM) applications.

The Problem: Data x AI Takes Months, and DIY is the Only Option

The backdrop against which emerged is a world where companies invest months of painstaking effort in building integrations with their customer's data sources such as Salesforce, email, and documents. Companies like Jasper, for instance, found that a significant portion of their time, approximately 70%, was consumed by data integrations rather than enhancing their core product.

Why is data integration such a cumbersome process? There are two key challenges that often get underestimated:

Challenge 1: Ingesting Data - The Grunt Work

Ingesting data involves tasks such as interfacing with APIs, keeping data up-to-date (which can be particularly finicky and maintenance-heavy), and navigating the complexities of obtaining API keys, which can take months and incur substantial costs, often around $30,000.

Challenge 2: Interpreting Data - The Real Complexity

Interpreting data is where things get tricky. A naive approach involving embedding data into a vector database may sound straightforward, but it rarely works seamlessly with production-sized datasets. The reality is that considerable engineering and Natural Language Processing (NLP) expertise are required. This includes recognizing entities, modeling relationships, adding temporal awareness, filtering out irrelevant information, handling multimodal data, and augmenting data with questions and summaries, among other tasks. Additionally, choosing and deploying the right language model for each task is crucial. And have you considered the subtle yet significant differences in data distribution between formats like Powerpoints and PDFs? Compliance with data privacy regulations is yet another hurdle that companies must clear.

The Solution: Integrate All Your Customer's Data in an Afternoon with comes to the rescue by simplifying data integration for developers. It offers a user-friendly button that allows individuals to link their data effortlessly, along with a developer-friendly API for querying data-related questions about individuals or their companies. takes on the heavy lifting, handling data ingestion, interpretation, and storage of the entire customer data stack. This means developers can bid farewell to concerns about vector databases, infrastructure maintenance, or navigating the idiosyncrasies of APIs like Google's.

Crucially, self-hosts all Language Models (LLMs) used for analysis to ensure data privacy, a vital consideration for customers. With over a million API calls served and an impressive average response time of less than 200 milliseconds, has already demonstrated its capacity to handle data integration at scale.

The founders of have personal experience with the pain points of data integration and have built to spare future developers from similar struggles. They have started with the most popular integrations and are committed to continuously adding new ones without any additional cost to their customers. If you have specific integration needs, don't hesitate to reach out.

A noteworthy aspect of is its Swiss heritage, which underscores the company's commitment to data security and confidentiality. Switzerland is renowned for its stringent data privacy laws, and is well-versed in the art of keeping sensitive information secure.

How Does Work?

Now that we understand the problem addresses and its innovative solution, let's delve deeper into how actually operates. is all about simplicity. It offers a straightforward button for data linking and an "AI-friendly" API for data querying. Developers can seamlessly integrate into their AI applications, reducing the complexity associated with data integration to a few clicks.

Data Ingestion Made Effortless

With, data ingestion becomes a breeze. Developers no longer need to wrestle with ever-changing APIs or devote substantial resources to keep data up-to-date. takes care of the nitty-gritty details, so developers can focus on what truly matters – building powerful AI applications.

Interpretation That Goes Beyond the Surface

Interpreting data is where the magic happens.'s expertise shines through as it tackles the complexities of data interpretation. Recognizing entities, modeling relationships, adding temporal awareness, filtering out noise, handling multimodal data, and augmenting data with questions and summaries are all seamlessly handled by This means developers can extract valuable insights from their data without getting bogged down in the intricacies of data analysis.

Privacy is Paramount's commitment to data privacy sets it apart from the competition. By self-hosting all Language Models used for analysis, ensures that sensitive customer data remains secure and confidential. Privacy is a critical concern for businesses and individuals alike, and has taken proactive measures to safeguard it. A Beacon of Efficiency for AI Companies isn't just a game-changer; it's a beacon of efficiency for AI companies. By eliminating the need for extensive data integration efforts, empowers AI companies to focus on what they do best – creating innovative AI applications.

A Plea to AI Companies: Can Save You Months in Engineering & MLOps

If you're part of a company building AI applications or considering adding AI to your product, has a compelling proposition for you. The message is clear: "Please introduce us to companies building AI apps or considering adding AI to their product. We can save most teams months in engineering & MLOps."'s ability to accelerate the data integration process can be a game-changer for your project timeline and resource allocation. With, you can make swift progress in bringing your AI applications to market without the tedious, time-consuming task of data integration holding you back.

Conclusion:'s Vision for a Data-Connected Future

In a world where data fuels innovation and AI applications hold immense potential, emerges as a trailblazer. Founded by a team of exceptional individuals with a deep understanding of the challenges in AI data integration, offers a simple yet powerful solution to connect AI apps to customer data seamlessly.

As companies across industries strive to harness the power of AI,'s promise to save time, reduce complexity, and ensure data privacy is a beacon of hope. The days of spending months on data integrations are numbered, thanks to's innovative approach.

In the journey toward a data-connected future, is leading the way, and as they say, "We don't think AI companies should have to build data retrieval from scratch." Just as OpenAI simplified working with Language Models with a simple API call, is making data access equally straightforward.

So, whether you're a developer seeking to streamline data integration, a business aiming to leverage AI, or simply an enthusiast eager to witness the future of AI data connectivity, keep an eye on The revolution has begun, and it's making data integration look easy.