Designing the
Foundational Layers
of Intelligence.
Input Systems is an independent R&D laboratory operating at the intersection of distributed computing, human-centred interaction, and on-device intelligence.
We are not a product company. We build the substrate: the protocols, the primitives, the coordination layers that allow complex technical capability to become legible to the people who need it most.
On-Device Isolation
Every computation stays within the boundary of the machine that initiated it. No telemetry, no cloud dependency, no latency introduced by distance. Intelligence as a local property — owned by the device, owned by the user.
Frictionless Interaction
The surface between a human and a system should disappear. We pursue zero-instruction interfaces — models of intent that infer from context, reduce cognitive overhead, and respond before a complete thought is formed.
Localized Swarm Intelligence
Coordination without centralization. Distributed agents operating under a shared protocol, each isolated yet collectively coherent — producing emergent capability from proximity rather than from pooled data.
Swarm Infrastructure — Vibe-Mesh
A mesh protocol for orchestrating distributed on-device agents over local proximity networks. Vibe-Mesh defines a lightweight coordination layer that enables devices within physical range to form transient, task-specific swarms without a central broker. Compute is allocated by proximity and capability; the network dissolves when the task is complete.
Fig. 01 — Mesh Topology
Accessibility Layers — Consumer Utilities
A suite of accessibility primitives designed to reduce the interpretive burden placed on users with non-standard interaction patterns. System_02 surfaces context-aware affordances that adapt to motor, cognitive, and perceptual variance — enabling the same interface to serve radically different human configurations without branching the product.
Fig. 02 — Adaptive Layers
All systems are in active research phase. No external roadmap is published. Progress is disclosed selectively and at the laboratory's discretion.
We hold that intelligence, properly designed, should reduce rather than expand the surface area of human effort.
The prevailing model of AI integration adds interface layers, dashboard surfaces, and interaction overhead in exchange for capability. We reject this bargain. The measure of a well-designed system is invisibility: the user achieves an outcome without awareness of the mechanism.
Input Systems exists to build the systems that make invisibility technically tractable — across device boundaries, interaction modalities, and capability requirements that the market has historically underserved.
We do not accept venture capital. Research directions are set internally and evaluated against long-term architectural merit, not market timing.
On-device processing is not a feature we offer. It is the constraint around which all systems are architected. Data that never leaves a device cannot be compromised in transit.
We publish nothing before its time. When research matures, we describe it accurately. We do not pre-announce, roadmap, or hype work that is not complete.
Serious correspondence
is welcome.
We are open to research collaboration, technical dialogue, and introductions from individuals working on aligned problems. We do not respond to sales solicitations, vendor introductions, or speculative partnership requests.