runtime
Available to download
Keep the language. Rethink the runtime.
A modern execution engine for k4, q and qSQL. Built around wide instructions, parallel work and the structure in your data.
Explore the runtimeL Labs builds the foundations for data-intensive computing. A modern runtime and an object store with compute. Each starts with a closer look at how the work gets done.
Built at L Labs
From the expressions you write to the data you keep. We’re building a family of tools with a shared respect for the machine underneath.
Available to download
A modern execution engine for k4, q and qSQL. Built around wide instructions, parallel work and the structure in your data.
Explore the runtimeClosed alpha
Object storage with parallel jobs beside your data. Bring the work to the objects you already have.
Explore the object storeWhere the work happens
From market events to research, execution and risk. Work with the history behind the next decision.
Explore network telemetry, semiconductor test data and machine histories. Follow a measurement back to its source.
Prepare features, transform arrays and inspect model outputs. Give the data work its own attention.
The company behind the code
Powerful computing should be more accessible, more efficient, and more useful to the people building what comes next. That belief guides our technology and the company we’re building around it.
The code people have written. The hardware they own. The time they’ve invested. Better foundations should carry that work forward.
Thoughtful decisions, lasting relationships, and software people can understand, depend on and keep using.
Question assumptions, explain the reasoning, and let the evidence shape what comes next.
Ideas into practice
From the lab
The case for rethinking the execution engine beneath familiar languages.
ExploreA closer look
What changes when the runtime works with the structure already in your data.
ExploreFor students & researchers
Free academic licenses for the people learning, teaching and exploring what comes next.
ExploreLet’s build something useful
Bring a workload, a question, or an idea. We’d like to hear about it.