RUNTIME LABS
About
Runtime Labs develops Orascope, a shared timeline for notes, photos, planning, and human-agent collaboration at orascope.app. We anchor language models in time and location so natural language intent stays coherent with real-world events and schedules.
Our work is grounded in two convictions: grounding language models in event structure increases reliability and utility of model outputs, and time is a foundational primitive for memory, planning, and coordinating between natural language intent and physical action.
We're building environments where humans and models collaborate through time, offering a shared surface for reasoning across past, present, and future.
Research
We build systems to enable models to reason in time, keep persistent context, and work from structured representations of events. We focus on temporal indexing, memory persistence, and context retrieval so models can interpret past activity, manage future plans, and respond and schedule coherently within an evolving timeline.
Our research focuses on environments that support planning and human-agent coordination through time, where temporal understanding and shared context between human activity and models keep responses grounded and behavior reliable.
Product
Orascope is built as a planning environment where models operate on persistent, time-structured state instead of isolated conversations. Context for planning is preserved as timestamped events anchored in time and location, with relevant photos and links for each event. Concretely, Orascope offers version control for your schedule and conversations on a stateful timeline.
You plan with natural language and images; models interpret intent, propose events for preview and approval, and update your timeline. The system state stays continuous and aligned in time with you across past activity and forward-looking plans.
Agency
Agency emerges from the strength of our predictive models and our ability to translate our predictions into actions that define the future distribution of decisions available.
We design environments for human-agent collaboration as an approach to aligning systems with our objectives and strengthening agency in coordinating human intent into actions.
Values
- We commit to clear objectives and build for the long-term, avoiding short-term optimization and cycles.
- We pursue truth rigorously and treat others with respect.
- We allocate time, capital, and compute deliberately.
- We exercise discipline and restraint in design, release, and outreach, while maintaining urgency in daily execution.
- We develop tools that empower humans—strengthening agency, judgment, and control over how work gets done.
- We adapt quickly when diminishing returns in product or research become evident.
- We maintain a respectful environment where criticism and feedback are treated as essential inputs to invention.