Research behind attention and follow-through systems
We study how systems can surface what matters, turn messy input into usable next steps, and support action with predictable behavior and user-controlled privacy.
See how this work shows up in Vortyx, our inbox attention product.
Intent modeling
Represent intent as structured objects: actions, goals, constraints, and timelines.
Structure extraction pipeline
Combine model outputs with deterministic validation to reduce errors.
Memory & recall
User-scoped memory with explicit control over context and retention.
Execution orchestration
Turn structured intent into orchestrated actions across automation pipelines and external systems.
Privacy & security posture
Threat-model-driven design, minimization, and transparent deletion.
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Short research and engineering updates from Synve.