Rise Data Labs
Rise Data Labs builds expert training data, reinforcement learning environments, and evaluations for frontier AI models. The company simulates real-world scenarios—including tool-calling workflows around APIs and MCP servers—to help AI labs and enterprises train, evaluate, and deploy models for complex, long-horizon tasks.
- HR Technology
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
AI model teams struggle to rapidly source, vet, and deploy high-quality human talent for data labeling, evaluation, and fine-tuning tasks. Manual hiring processes are slow, lack scalability, and often fail to deliver consistent, model-ready outputs under tight deadlines.
Solution
Rise Data Labs provides an automated talent engine that streamlines the entire workflow from sourcing to scheduling. The platform uses targeted outreach to engage skilled professionals based on skills, background, and availability, then applies automated vetting and matching to align them with specific roles, domains, and service-level agreements. Human oversight is embedded throughout the pipeline to maintain output quality, while end-to-end automation enables fast turnaround and production-ready results. This combination supports both hiring spikes and sustained velocity for model teams across diverse industries.
Target Audience
Primary customers are AI model teams and enterprises across sectors like healthcare, finance, robotics, gaming, legal, education, media, and enterprise SaaS that need on-demand, vetted human talent for data labeling, evaluation, and model training workflows.
Features
- Automated sourcing with targeted outreach based on skills, background, and availability
- AI-driven vetting and auto-matching to roles, domains, and SLAs
- Automated interview scheduling, onboarding, and shift management
- Access to a network of 500K+ US professionals, with 98% from college-elite backgrounds
- Human oversight integrated into the workflow to maintain output quality
- Built to handle hiring spikes and sustained production velocity
- Private-by-default engagement with NDAs available for sensitive projects