Compute That
Scales to Human Time
Frankl Labs builds stateful runtimes, memory semantics, and behavioral constraints that enable AI systems to behave consistently with people over time.
Every computing revolution begins with a new standard.
Human-facing AI has none.
We're defining the primitives, state models, memory semantics, and runtime constraints that future applications, devices, and autonomous systems will rely on to behave consistently with people over time.
Two Frontiers. One Human-Compatible Compute Stack.
Quiet is a private, local-first interface that reflects patterns and preserves continuity across time.
Q-Stack SDK extends the Frankl runtime outward, providing developers with stateful systems for memory, continuity, and behavior across applications and devices.
Together, they define a new standard for human-facing computation.
Quiet
Quiet is a private, local-first interface built on the Frankl runtime. It reflects patterns over time, preserves continuity, and helps individuals make sense of their own state without exporting it elsewhere.
Our Philosophy
Human Context: The Missing Layer in Modern AI
A Shared Context Schema
Machines need a structured way to represent human context over time.
Frankl defines a shared schema for signals like tension, direction, and change, giving AI systems a consistent language for interpreting interaction patterns without collapsing them into labels or sentiment.
Our Vision
“AI won’t make sense at human scale until it can operate within human context.”—
From human-facing experiences like Quiet to the developer layer that brings state, memory, and continuity into software, devices, and autonomous systems, we are defining how human context becomes part of computation.
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