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Graphy simplifies data storytelling with fast, beautiful graph creation.
Research participant marketplace that gives AI teams and academics fast access to verified, screened human data and feedback.
Crowdsourcing platform using 8M+ global workers to deliver AI training data, labeling, surveys, testing and store checks.
Data-labeling and RL data platform supplying training data, environments and evaluation for frontier AI labs and enterprises.
Data lab providing expert human data, RL environments, and contextual evaluations to train and assess AI models and agents.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦AI-generated insights and graphs
- ✦Connects to Google Sheets and other data sources
- ✦Lightning-fast data visualization
- ✦Simple and intuitive interface
- ✦Interactive and shareable graphs
- ✦Visual annotations and enhancements
- ✦300,000+ verified, screened participants
- ✦300+ audience targeting filters
- ✦Representative and quota-based sampling
- ✦API and no-code survey tool integrations
- ✦AI-powered participant quality monitoring (Protocol)
- ✦Managed services with dedicated project teams
- ✦Access to vetted domain experts
- ✦8M+ verified global crowd
- ✦AI training data (image/video/audio/text) and annotation
- ✦Survey tools and respondents
- ✦Store checks and mystery shopping
- ✦Crowdtesting (web/app/games)
- ✦Tagging and categorization
- ✦Managed or self-service plus API
- ✦Data labeling across modalities
- ✦RL environments and reward signals
- ✦Custom model evaluations and benchmarks
- ✦Human preference/annotation from an expert network
- ✦Recursion RL platform for enterprise agents
- ✦Robotics data (video, trajectories)
- ✦Realm: RL environments mirroring real-world scenarios for human data generation
- ✦Cortex: contextual evaluation platform for monitoring production AI agents
- ✦High-fidelity training data for robotics and embodied systems
- ✦Expert networks for frontier-model data collection
- ✦Research lab with legal, pathology and financial reasoning benchmarks
- →Creating marketing reports
- →Driving decisions with data
- →Internal reporting and board memos
- →Quickly creating visuals for newsletters and social feeds
- →Consulting business presentations
- →Collecting human preference data for RLHF or model evaluation
- →Running academic behavioral or market research studies
- →Sourcing domain-expert data for specialized AI benchmarks
- →Sourcing AI training and labeled datasets
- →Running surveys and market research
- →Point-of-sale store checks
- →Crowdtesting apps and websites
- →Building training and evaluation datasets
- →Post-training and RLHF for models
- →Benchmarking model capability
- →Training enterprise specialist agents
- →Train and evaluate frontier AI models
- →Improve agent performance in production
- →Source expert human data for AI labs
- →Gather demonstration data for robotics