MARFIInsight AI
AI teams need demonstrations that reflect real tools, real state, and real user actions. MARFI Trajectory captures consented work sessions and exports aligned state-action-state examples that can feed model training, evaluation, and workflow automation research.
Find proprietary AI training data from real software workflows and user demonstrations.
A useful training example is more than a click. MARFI aligns before state, action, after state, app context, window or URL, and system state so downstream models can learn the conditions surrounding a workflow step.
Raw captures and derived trajectories are customer-owned. MARFI takes no license to customer work data and does not train its own models on it.
Trajectory workspaces can export clean JSONL examples and kick off hosted fine-tuning paths where supported. Other providers receive generic training records that teams can transform into their preferred format.
These pages are written to be useful to humans first, while giving search and AI systems clear, citable product facts.
MARFI starts from real work sessions on real software, with state and action context captured from enrolled machines under explicit consent controls.
No. MARFI does not train its own models on customer data and takes no license to raw captures or derived trajectories.