The world's public datasets are tapped. We have hit the data wall. For your AI model to compete beyond the data wall, you'll need crowd-sourced human data.
Tracks Twitter engagement, including tweets, replies, and trends.
Captures biometrics like heart rate, sleep, and movement data.
Monitors sleep cycles, rest quality, and disturbances via devices.
Logs user check-ins, geolocation data, and app-based movements.
Records visited places, travel routes, and timestamps from Google.
Analyzes multilingual Telegram chats and engagement dynamics.
Aggregates Telegram conversations while maintaining user anonymity.
Tracks Amazon purchases, browsing history, and shopping behavior.
Contains genetic sequences, ancestry data, and health insights.
Captures vehicle telemetry, driving patterns, and diagnostics.
Analyzes investor risk, trade history, and portfolio preferences.
Collects Reddit user interactions and karma-based engagement.
Links mood fluctuations with crypto trading behavior patterns.
Provides AI-generated and human-refined chatbot conversation data.
Tracks order flow, liquidity, and execution trends on exchanges.
Analyzes social media activity, trends, and behavioral signals.
Records human feedback on AI-generated outputs for training models.
Records activity of personal shopping on Amazon.
Records data about Spotify playlists and music choices.
Records information about ride activity in the Uber app.