Lleverage raises €2 million to empower all developers to become AI developers

Founded and funded

Founded and funded by successful software entrepreneurs and prominent angels, Lleverage is set to make AI development accessible to every company.

Amsterdam, The Netherlands – July 10, 2024

Lleverage, an Amsterdam-based AI startup aiming to transform the way developers and product teams build and integrate AI features into their software, today announced its emergence from stealth with €2 million in pre-seed funding. This round includes notable advisors such as Bob van Luijt (Founder of Weaviate), Chris Moojen (Executive at Atlassian), and Martijn Niessen (CEO of Infinite Group).

Accessible AI

Founded by a team of successful Dutch entrepreneurs - Lennard Kooy (ex-CEO of Storyteq), Badr Eddial (ex-CTO of Storyteq), Tom van Wees (ex-CCO of Ginger), and Tim Beyer (ex-COO of Sana Commerce) - alongside expert machine learning engineers, Lleverage aims to make AI accessible to all software engineers, enabling them to build AI features without deep AI expertise.

“Having witnessed firsthand the challenges companies face in integrating AI into their products, I am incredibly impressed by Lleverage's innovative approach. Their platform effectively bridges the gap in AI knowledge, enabling businesses to easily build and deploy AI features. The team's extensive experience, execution, and clear vision have convinced me that Lleverage is the right solution for the market's needs, and I am excited to support them on this journey,” said Bob van Luijt, Founder and CEO of Weaviate.

Lennard Kooy, Co-founder of Lleverage, added, “In our previous ventures, we experienced the difficulties developers faced in building meaningful AI features and deploying them due to a lack of AI knowledge and resources. Lleverage aims to equip every company with the tools to leverage AI effectively.”

Everyone can be an AI developer

Lleverage tackles critical challenges in AI development, such as the lack of AI knowledge and expertise, the complexity of building with large language models (LLMs) due to their non-deterministic nature, and the hesitation to deploy AI into production. Its low-code AI development and observability platform simplifies the creation, testing, and deployment of AI features. The platform includes tools for building and testing prompts with various models, creating AI pipelines and workflows visually or through code, and monitoring and optimising performance.

With this pre-seed round and the strength of its founding team, Lleverage aims to expand its client roster from 5 to 100 paying SaaS and eCommerce companies by the end of the year.