Navi makes it fun to generate the datasets that power tomorrow's computer-use agents.
Pixel-level screen recordings with Mouse paths, clicks, and scrolling with millisecond precision
Automatic anomaly detection catches corrupted or incomplete sessions, with continuous review to keep every dataset clean.
Each dataset includes rich metadata — task type, app context, timestamps — to make training and evaluation easier.
Quality pipelines track drift and surface edge cases, so your models always learn from the most accurate, up-to-date signals.
Record users browsing, adding to carts, and checking out on sites like Amazon or Etsy.
Collect interaction traces from tasks in Docs, Notion, or Excel, showing edits, formatting, and navigation.
Log how people update CRMs, build reports, or configure SaaS tools such as Salesforce or Jira.
Track query edits, scrolling, and result clicks as users research across Google, Bing, and other engines.

Refine models with Reinforcement Learning from Human Feedback (RLHF) using curated interaction data, helping them adapt smoothly to real behavior and uncommon edge cases.
Teach agents to navigate apps, forms, and websites through authentic workflows, learning clicks, scrolls, and shortcuts for natural, reliable performance.
Evaluate automation systems with genuine user sessions, measuring accuracy, speed, and resilience across varied tasks to ensure dependable results.