Alternatives to Besimple AI

Expert human feedback, proprietary benchmarks, and RL environments for frontier AI alignment and red teaming.

Enterprise synthetic data platform for privacy-safe analytics and AI data access

Decentralized AI training data marketplace where workers earn crypto for text, audio, video, and code contributions

Mercor is a marketplace where vetted domain experts do AI model evaluation and training data work for frontier labs and enterprises, averaging $112/hr.

Hugging Face is the open platform to discover, host, and deploy 2M+ machine learning models, datasets, and Spaces apps.

Open-source dataset labeling and AI evaluation for every data modality

Raiinmaker builds custom, ethically sourced video datasets and delivers real-time human feedback and evaluation for AI video models.

Open-source multimodal lakehouse for AI data curation, feature engineering, search, and training.

Train custom ML models in your browser, no coding required.

KlavisAI builds live Dockerized environments for training AI agents on coding and agentic tool-use tasks.

Live, deterministic environments for training AI agents on coding and tool-use tasks.

RL data engine for AI teams building frontier models and enterprise agents

Enterprise synthetic data generation for computer vision training

Managed training data and RL environments for AI agents, coding, and AI safety projects.

Freelance platform where experts train AI models and earn weekly pay

Open-source data annotation platform for vision AI teams

Offline, AI-assisted image annotation with SAM2, SAM3 & YOLO-World — one-time purchase, no subscription.

Auto-label images and train custom vision models with zero manual annotation.

Structured3D: large-scale photo-realistic synthetic dataset for structured 3D modeling research.

Open-source federated learning framework and enterprise platform for Collaborative AI.

Private-deployment data annotation platform for multimodal AI training.

Tactile capture hardware that records touch-aware demonstrations for dexterous robot training.

Human-recorded datasets that teach AI agents to operate software like people do.

Bright Data's web data platform for AI training and agentic access

Project-based platform for creating high-quality LLM fine-tuning datasets, from literature to QA pairs.

Real-world egocentric video and robot data for embodied AI training.

Auto-generate 100s-1000s of SWE task instances from any GitHub repo in ~10 minutes

Crowdsourced data services for AI training, validation, and labeling at scale.

Collect high-quality human data from verified participants for AI training, evaluation, and research.

Autoscaled RL data and self-evolving benchmarks for frontier tool-use and computer-use agents.