The cognitive operating layer.
Cognitive overload is built into how work is structured today. We find it, then redesign around it.
Every new AI agent your team adopts adds another surface to monitor and another context to hold. The tools meant to lighten the load are, on average, adding to it. The gap between how work is organized and how attention actually works is well documented.
"Mental fatigue, cognitive strain, and decision friction are now the leading indicators of burnout — surpassing workload volume for the first time." Deloitte Workforce Intelligence, 2025
"Our current work culture is neurologically wrong for humans."— Dr. Sahar Youssef, Neuroscientist, UC Berkeley Haas
This isn't about making work easier. It's about making the same work produce what it's actually capable of without the cognitive overhead that's silently cutting output.
Reads patterns across calendar, Slack, and project tools — meeting load, communication pressure, sprint phase, focus fragmentation — to map how attention is actually being spent.
Applies neuroscience principles — chronotype alignment, attention residue buffers, recovery architecture, phase-aware scheduling — to redesign how work flows, not just when meetings happen.
Sprint week one needs different conditions than sprint week six. Fiscal year close needs different architecture than a normal week. Vatta adjusts continuously.
Cognitive science + data science. Thesis at the intersection of HCI, data, and design. President of Sports Analytics Group at Berkeley, leading 75 engineers.
Data science. 3x hackathon winner, previously SWE at IBM. National Chess Master — knows what sustained cognition under pressure actually feels like.
Early access is open.
vātāvaraṇa — Hindi for atmosphere: the conditions surrounding everything, shaping what's possible within them.