We are the app with a brain image🧠 and a bulb.💡

For years, product teams have relied on usage data to guide decisions. Clicks, sessions, funnels, drop-offs — all valuable, but all incomplete. Because usage data tells us what users do… Not how they think, what they feel, or why they hesitate. And that gap is costly. When we

Data isn’t the problem. Uninterpretable data is. Dashboards full of numbers can look impressive — but without clarity, they create more noise than insight. Teams end up reacting instead of understanding, optimizing instead of empathizing. Real power comes when data: – explains

When AI Gets It Wrong: Designing for Graceful Failure Artificial intelligence is transforming the way we interact with products, services, and systems. From personalized recommendations to automated workflows, AI promises efficiency, convenience, and smarter decision-making.

Sometimes, it’s the smallest shifts in attention that have the biggest impact. Traditional metrics show what users click, tap, or open — but they rarely capture the moments that truly shape outcomes: hesitation before a decision subtle confusion over a feature distractions

In today’s data-saturated world, managers are drowning in dashboards. Charts, metrics, KPIs — they’re everywhere. But more numbers don’t automatically lead to better decisions. What teams really need are better signals: actionable insights that highlight what matters, when it

Why ‘Anonymous’ Is Not Enough Anymore For decades, anonymity has been the standard for collecting user feedback, survey responses, and engagement data. It promised privacy, encouraged honesty, and offered a safe space for users to share thoughts without fear of judgment. But in

Why Ethical AI Is a Competitive Advantage in Enterprise Sales Enterprise deals aren’t lost on features — they’re lost on trust. As AI becomes central to how people work and learn, buyers care less about what it can do and more about whether it’s safe, transparent, and

Conferences are designed for inspiration. But they’re evaluated with the wrong signals. We track registrations, session scans, polls, and post-event surveys — all useful, but all delayed. What we don’t see is what matters most in the moment: attention, fatigue, and cognitive

Why Cognitive Research Needs Industry Partners We know more than ever about how the human brain thinks, focuses, and learns — yet much of this knowledge stays inside labs. At the same time, organizations face an attention crisis, with rising mental overload and tools that

Effective learning doesn’t start when the lesson begins — it starts when we understand the learner. Every student arrives with a unique cognitive state: some are energized and ready to absorb, others may be fatigued or distracted. Traditional teaching methods often overlook these

Enterprise stacks have evolved fast — but they’re still missing a critical layer. We’ve built powerful systems to track productivity, engagement, performance, and outcomes. What we don’t track — at scale or in real time — is the one thing those systems rely on: human attention.

The Role of Cognitive Signals in Digital Transformation Digital transformation is no longer just about adopting new tools or migrating workflows to the cloud. At its core, it’s about how people interact with technology — how employees, students, and teams think, focus, and

We’ve optimized everything around people — but very little for people. Today’s workflows, tools, dashboards, and policies assume employees can deliver consistent focus regardless of cognitive load, fatigue, or environmental noise. But neuroscience tells a different story: the

A classroom becomes truly powerful when creativity, collaboration, and real-time learning intelligence come together. That’s exactly what the new Explain Everything x Augment Me integration unlocks. Teachers can now see what’s happening beneath the surface—how ready a student

We’ve spent decades optimizing software, workflows, and institutions — but almost none of it was built with the brain in mind. Today we live in systems designed for an attention surplus… even though attention is now one of the scarcest resources in modern work. That’s the core

Affective Computing With Empathy 🤝 AI can do amazing things — measure attention, detect fatigue, and optimize workflows. But without ethical design, it can overstep boundaries, turning insights into pressure. At WotNow?!, we design affective computing to support humans, not

NEXT‑GEN CLASSROOMS ARE HERE ✨ We’re thrilled to announce a major milestone in education technology — the integration of Augment Me’s cognitive AI into Explain Everything. This isn’t just a feature update. It’s the start of classrooms that understand their students in real

HR teams aren’t losing talent because they don’t track performance. They’re losing talent because they don’t track burnout triggers. Micro-behaviors matter: ➡ Overworking quietly ➡ Fewer breaks ➡ Faster, lower-quality decisions ➡ Silence in internal chats We’ve been

Affective computing is often misunderstood. Most people assume it requires facial recognition, identity tracking, or biometric storage. WotNow?! does none of that. Our system uses remote photoplethysmography (rPPG) — a technique that detects cognitive fatigue and emotional

We’re proud to share that WotNow?! will be represented at NeurIPS 2025, one of the world’s leading conferences for machine learning and artificial intelligence. Our team will be contributing to a NeurIPS workshop focused on Foundation Models for the Brain and Body — an important