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Market-intelligence platform offering data, forecasts, and analytics on thousands of products across 200 countries.
Suite of financial reporting, BI, budgeting and EPM tools that connect to 140+ ERPs for finance teams' close, planning and disclosure.
Research participant marketplace that gives AI teams and academics fast access to verified, screened human data and feedback.
Data-labeling and RL data platform supplying training data, environments and evaluation for frontier AI labs and enterprises.
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No public pricing
No public pricing
No public pricing
- ✦Global market data on 10,000+ products
- ✦Predictive modeling for demand and prices
- ✦Data cross-checking and validation
- ✦Downloadable reports, tables, and dashboards
- ✦Company lead data
- ✦API access
- ✦Excel and web ERP reporting (Spreadsheet Server, Wands, Jet)
- ✦Financial planning and budgeting
- ✦Account reconciliation and financial close
- ✦Tax, transfer pricing and disclosure management
- ✦Embedded analytics for ISVs (Logi)
- ✦Connectors for 140+ ERPs
- ✦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
- ✦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)
- →Research market size and trends
- →Forecast demand and pricing
- →Find new customers and suppliers
- →Support supply-chain decisions
- →Automating financial and management reporting
- →Budgeting and financial planning
- →Month-end close and reconciliation
- →Regulatory and tax reporting
- →Lease accounting
- →Collecting human preference data for RLHF or model evaluation
- →Running academic behavioral or market research studies
- →Sourcing domain-expert data for specialized AI benchmarks
- →Building training and evaluation datasets
- →Post-training and RLHF for models
- →Benchmarking model capability
- →Training enterprise specialist agents