About us
lavalake is the data cloud for businesses that want to use AI and analytics while choosing their deployment, compute capacity and costs. Our vision: modern data work with cloud convenience, infrastructure of your choice and predictable platform licensing, with no credits per data query.
Business data is the foundation for better decisions, new applications and intelligent processes. With lavalake, we are creating a platform that brings together a data warehouse, lakehouse and AI — while giving businesses control over where and how they use their data.
Our vision is a data environment where people and AI agents work from a shared, reliable foundation. Business teams gain insights, developers create new applications, and organizations retain control of their data, permissions and infrastructure.
We combine the convenience of modern cloud platforms with a choice of deployment: your data center, rented servers or a private cloud. You do not need your own data center or admin team; an appointed IT service provider can handle operations. Open standards, consistent governance and predictable platform costs form the foundation. Our goal is to make data and AI a natural part of everyday work.
AI is changing how businesses use their knowledge. lavalake is built around the requirements this creates for organizations.
Our work with AI systems and research into autonomous agents give us deep insight into the direction of development. We believe Agentic AI and MCP will play a growing role in business. They need accessible business knowledge, clear permissions and traceable actions.
In practice, we see that cloud services remain a hurdle for many businesses: confidential data, security requirements and internal approvals limit their use. With lavalake, we want to enable modern data work and AI where businesses take responsibility for their data — on their own infrastructure.
Operating cloud data warehouses has taught us how credit billing behaves. Even with modest compute requirements, provisioned capacity, runtime and parallel workloads can quickly drive up costs. That is why understandable platform costs have been part of our product vision from the beginning.
Businesses decide on their infrastructure, data flows and connected AI models. We see this freedom of choice as central to a modern data platform.
Data, analytics and AI belong in a shared working environment. Our measure of success is how well people can use and operate the platform.
Access permissions and traceability must also apply when agents work with business data. That is why governance is part of our thinking from the start.
Open formats and established technologies form the foundation of lavalake. We want businesses to keep using their data and developing their platform on their own terms.
lavalake was founded by Daniel Alisch and Nils Gregersen. Our shared idea for lavalake grew out of our experience with data platforms and AI. Building it for the long term is a personal commitment for both of us. Daniel brings experience in AI development, research and enterprise IT; Nils brings experience in data platforms, operational leadership and building businesses. Together, we shape lavalake’s direction and personally stand behind the standards we set for the platform.
Co-Founder lavalake
Daniel combines years of experience operating business applications with the development of modern AI systems. He has been at mindsquare since 2014 and, as Managing Consultant, held responsibility for fifteen people and twenty-five production applications.
Today, as Senior AI Consultant, he develops multi-agent systems and RAG applications for enterprise environments. Alongside this work, he has been researching autonomous multi-agent systems at FernUniversität in Hagen since 2021. MCP and integrating AI into existing SAP and non-SAP landscapes are part of his practical work.
He brings to lavalake the conviction that AI becomes useful in business when it can be operated reliably and integrated into existing workflows.
Co-Founder lavalake
Nils combines experience in data platforms and AI with leadership and building businesses. He spent five years at IBM in Analytics, Data and AI, including work at the Watson IoT Center and on a data platform for training autonomous driving models.
Since 2024, as IT Project & AI Innovation Manager at SUND Group, his responsibilities have included a cloud data warehouse built on Snowflake. His entrepreneurial experience includes co-founder and CEO of Paycer, COO of CACHE in Singapore, and co-founder and managing director of Spargold.
For lavalake, he brings these experiences together with a clear ambition: businesses should benefit from modern data platforms while retaining control over operations, costs and future development.
We want to understand what you have in mind and what your environment requires. In a personal conversation, we will show you lavalake and discuss the possibilities, deployment and costs together.
Request a demo