LOGOS

The Cognitive–AI Ecosystem

All the Power. None of the Complexity.

A landscape of companies and projects reshaping how human cognition, time, and attention connect to intelligent systems.

Redefining Human–Computer Interaction

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Introduced system level support for brain computer interface inputs (BCI HID), expanded on device neural processing, and made long term investments in attention, perception, and privacy preserving human computer interaction research, enabling interfaces that sense cognitive state in real time, reduce distraction by design, and translate subtle intent into precise, reliable actions across applications, devices, and the modern digital workspace.

Questioning Scale-Only Intelligence

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Publicly emphasized the limits of brute force scaling and invested in alignment, cognitive evaluation, and interdisciplinary research to understand intelligence beyond pattern prediction, aiming to capture how humans reason, attend, and decide in complex environments and to translate those insights into more transparent, reliable, and cognitively aligned AI systems.

Neuroscience as a Foundation for AI

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Runs dedicated neuroscience research programs modeling perception, motor control, and learning, directly linking biological brain mechanisms to reinforcement learning and control systems, and using these insights to design AI that better mirrors human attention, adapts to real world uncertainty, and supports more natural, intuitive interaction between people, machines, and their digital workspaces.

Building Cognitive AI Systems

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Through Microsoft Research, advances neuro symbolic and brain inspired architectures that integrate reasoning, memory, and structured cognition into neural systems, enabling AI agents that can plan over long horizons, adapt to changing goals, explain their choices, and collaborate with people in complex workflows and real world decision making environments.

Designing for Cognitive Flow

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Rebuilt productivity workflows around context switching, interruption cost, and human attention, prioritizing cognitive flow over task automation, and redesigning tools, notifications, and collaboration patterns so that digital work aligns with how minds actually focus, remember, and make decisions across complex, multi step projects.

Time as a Cognitive Resource

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Applies behavioral science and cognitive load modeling to dynamically schedule work, explicitly accounting for human energy, focus, and decision fatigue, turning calendars and workflows into adaptive systems that protect deep work, surface the right decisions at the right moment, and help individuals and teams reserve their best hours for the most complex, cognitively demanding tasks.

Planning Around Cognitive Limits

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Designed planning systems grounded in attention research and mental well being, intentionally constraining throughput to reduce cognitive overload and burnout, and shaping roadmaps, prioritization, and execution rhythms so that teams respect human limits, recover faster from stress, and sustain high quality decision making over long, demanding cycles of work.

Optimizing Collective Cognition

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Uses AI to model team level focus patterns and meeting fragmentation, aligning schedules around deep work windows and shared cognitive rhythms, and continuously reconfiguring collaboration, communication channels, and meeting structures so that teams minimize coordination overhead, preserve collective attention for the hardest problems, and make higher quality decisions together with less cognitive strain.

Externalizing Human Memory

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Transforms conversations into structured, searchable knowledge, extending human memory and organizational recall beyond biological limits, so that every decision, rationale, and insight becomes a persistent cognitive asset that can be resurfaced at the right moment, shared across teams, and woven back into future planning and execution.

Interfaces Between Brain and Machine

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Develops high bandwidth invasive brain computer interfaces, conducting human clinical trials to record and stimulate neural activity at single neuron resolution, with the long term goal of restoring communication and movement, enabling direct control of digital systems, and establishing rigorous safety, ethics, and usability standards for future everyday brain driven interaction.

Designed for Balance

Built for results. Powered by intelligence.

Built for Real Work. Powered by Human Cognition

Turn neuroscience, data, AI and automation into a calmer, higher-output workday for every team.

Cognitive Execution

Neura captures intent from meetings, messages, and notes, then turns it into concrete, actionable next steps across email, chat, calendar and tasks.

Unified Control

One workspace for priorities, context and commitments, so you know what matters now, what’s next and what’s already in motion across your stack.

Trusted by Design

Opt-in access, least-privilege permissions, preview and undo, plus admin policies, make every action auditable for high-stakes work.

Fast, Frictionless Setup

Connect your core tools in hours and expand step-by-step at your pace, from simple visibility to safe, policy-aware execution when your team is ready.

Cross-Tool Presence

Neura shows up across your OS and tools, inside email, chat, meetings, and project systems. Actions move across systems without teams stopping to “use AI.”