Humanbased offers a platform that lets AI teams commission human‑, expert‑, and agent‑powered data workflows, embedding attribution, upfront compensation, and reusable data products directly into the pipeline. Contributors are qualified, paid in advance, retain credit for their work and can earn a share of future value when their data is reused, while the system supports controlled, phased launches from private alpha through general availability.
Funding
Funding not disclosed
Founders
Product
Problem
AI developers often struggle to obtain high-quality, expert-generated training data, evaluations, and real‑world feedback while ensuring contributors receive proper attribution and compensation. Lack of transparent data lineage makes it difficult to track the provenance of data assets and to share future value with the original creators.
Solution
Humanbased offers a platform that lets AI teams design and launch data workflows powered by human experts, freelancers, and autonomous agents. The system handles contributor qualification, upfront payment, and attribution, while automatically capturing data lineage to create reusable data products. When a data asset is reused, the original contributors can receive a share of the downstream value. Workflows are released in controlled phases—cohort intake, private alpha, beta, and general availability—ensuring that buyers, contributors, and operators only engage when the surrounding process is ready. This approach provides AI teams with accountable, traceable data pipelines and a marketplace for compensated, attribution‑preserving contributions.
Target Audience
Primary customers are AI research labs, machine‑learning product teams, and data‑centric startups that need reliable, compensated human input for training and evaluating models. Qualified experts, freelancers, and specialized contributor groups also use the platform to find paid, attribution‑preserving data work.
Features
- End‑to‑end workflow builder for commissioning training data, model evaluations, and real‑world feedback campaigns
- Contributor qualification engine that matches qualified experts, freelancers, or managed teams to specific data tasks
- Built‑in payment and attribution layer that records contributor identity and enables future revenue sharing on reused data products
- Automated data lineage tracking that creates reusable, versioned data assets with full provenance metadata
- Phased launch framework (cohort intake, private alpha, beta, general availability) to ensure workflow stability before scaling
- Dashboard for AI teams to monitor campaign progress, review contributions, and manage payouts