LILYConnecting knowledge, redefining research, accelerating discovery together.
By connecting knowledge and redefining research, we foster collaboration that accelerates discovery and drives innovation forward.
Perfect and optimal utilization of resources from one's own or a large research cluster
Many universities and companies rely on computing centers that often suffer from inefficient resource utilization, leading to blocked capacities, reduced performance, and wasted time. Our platform offers a groundbreaking solution with real-time analysis of jobs, automatic identification of parallelization potential, and increased efficiency without additional software effort. When local resources are insufficient, we enable seamless scaling to powerful research clusters through flexible models, ensuring computing power is available where needed. Additionally, we provide access to specialized high-performance resources like FPGAs, TPUs, quantum computers, and laboratory equipment to accelerate complex calculations for various research fields.
Unique orchestration and planning of research workflows
LILY makes research setup and execution as simple as building with LEGO bricks. Our platform offers a comprehensive collection of tools, libraries, and functions that researchers can use to abstract their projects into individual components. They can check which components are already available, intuitively assemble them, and adjust them via our interface. If specific solutions are missing, they can be seamlessly integrated. This modular approach reduces workload at every stage—from computation to AI model application and laboratory equipment integration. Researchers also gain access to powerful monitoring and analysis tools for precise evaluation and direct sharing of results, allowing others with similar questions to build on existing work rather than starting from scratch.
Democratization of research models, databases, and access
LILY democratizes research by making advanced tools and resources accessible to all researchers. Our platform facilitates real-time access to research projects, allowing teams to apply proven methodologies to their own work. By breaking down barriers to specialized resources, we enable more inclusive and collaborative scientific progress across disciplines and institutions. Researchers can leverage existing models, datasets, and methodologies without reinventing the wheel, accelerating innovation and discovery in all fields.
Competence encapsulation
LILY's competence encapsulation system assigns each specialist tasks specifically in their field of expertise, eliminating the need for costly retraining and reducing bottlenecks in recruiting interdisciplinary personnel. Researchers can utilize existing models that have been thoroughly tested and developed without requiring deep expertise in every field. This approach optimizes workflow efficiency by ensuring experts focus solely on their specialized domains while still enabling seamless collaboration across disciplines.
Collaborative project work
LILY facilitates streamlined research collaboration without the need for constant meetings and unnecessary delays. Inspired by Git-like workflows, our platform enables parallel work streams while maintaining version control and clear project ownership. Teams can collaborate asynchronously across departments, institutions, and even international boundaries, with built-in tools for conflict resolution and transparent progress tracking. This collaborative approach accelerates research timelines and enhances the quality of scientific output.
Simple application process for resource access
LILY provides a streamlined system for resource allocation, similar to university environments where resources flow efficiently to research groups. Our platform enables safe and simple access to specialized hardware and computing resources for students and researchers alike. Users can easily apply for resources, evaluate performance differences on various infrastructure options, and scale their projects according to need. This democratized access model ensures that cutting-edge research tools are available to qualified teams regardless of institutional size or budget constraints.