Our research programs explore the edges of what small, focused teams can build when given the space to think carefully and iterate without pressure.
Each program represents a sustained investigation — not a product roadmap.
Intent classification, multi-step inference, self-correcting agents, and tool-use patterns. Primary output: MIID — a modular AI platform with 44 specialized engine components.
Deploying and managing language models without cloud dependency. PILOT handles on-device inference. S.Q.E.E.Z cuts memory requirements 75–80% to run large models on constrained hardware. A dedicated toolset covers the SiliconFlow AI provider.
Context-aware UI and automation systems that reduce cognitive overhead and adapt to user state. OdigoII and MagicMacro are active experiments in this space.
Understanding what flows through systems — at the network, message, and data layer. InterceptAlloy and LumiMIM are the current research artifacts.
A look inside our largest research platform. Each entry is a distinct, independently testable engine.
We treat research as a practice, not a phase. Every system we build carries embedded hypotheses — and every deployment generates data that refines our understanding.
The goal is not novelty for its own sake, but durable insight that compounds across projects and over time.
Research notes and technical essays published as we go.