Beyond Context. Achieve Harmony.
The first Harness Learning layer that compounds Human Feedback into lasting collaboration.
Vision
Collaboration-aligned intelligence will be the foundation of serious knowledge work at scale. Agent systems will compound as trusted collaborators that integrate into human workflows and grow more useful with every cycle of work.
Mission
Our mission is to make agent systems improve with use through Harness Learning. We turn everyday feedback, corrections, and decisions into durable agent system behaviour, so teams can spend less time re-explaining how work should be done.
Principles
Our platform is built on a simple premise: agent systems should improve through use. Through Harness Learning, signals from users shape the layers between agents and environments, so agent systems become more reliable, more reusable, and better aligned over time.
Artefacts
Work moves through explicit, reviewable deliverables such as briefs, specs, and drafts. This makes intermediate work visible and gives feedback a durable place to accumulate.
Feedback
Human feedback becomes valuable when it changes how work is handled in the future. Corrections, decisions, and review are the signals from which the harness learns.
Orchestration
Heterogeneous agents as shared libraries different kinds of work. Our platform orchestrates them across a workflow so each task can be handled by the system best equipped for it.