Alternatives to Besimple AI

Licensed audio datasets for teams training speech recognition, translation, and voice interaction models

Ocular delivers full-duplex conversational speech data and benchmarks frontier STT models on real-world audio.

Custom audio datasets for training and evaluating voice AI, scoped to your model's spec.

Load, stream, and preprocess training datasets in one line of Python — open source, Arrow-backed, Hub-native

Prodigy is a downloadable Python annotation tool for building training and evaluation data for custom AI, ML and NLP models.

Raiinmaker sources rights-cleared custom video datasets and runs real-time human evaluation for generative AI video models.

Generate LLM training datasets with topic graphs and real sandboxed tool-calling traces

Snorkel AI builds expert-curated training data and runnable eval environments that fix where frontier models and agents break.

Applied AI for aviation: pilot-controller training datasets, the Y4 Aviation Understanding Model, and real-time runway incursion risk detection.

Liva AI builds human interaction datasets and social-intelligence evals that help models read intent, emotion, and context.

Mundo AI builds culturally-aware audio and video training data, evaluations, and applied research for teams working on perceptual AI.

Cortex AI supplies real-workplace egocentric video and robot trajectory data for training embodied AI and robot foundation models.

Velvet sources, verifies, and delivers curated video datasets so AI labs can train interactive and world models with spatial reasoning.

Physical AI data infrastructure that turns real-world task capture into multimodal robot training datasets

AfterQuery builds expert reasoning training data — SFT, RL rubrics, agent environments, and computer-use trajectories for frontier models.

Mercor matches AI labs with vetted domain experts and publishes APEX benchmarks for evaluating frontier models on real professional work.

Free browser tool from Google for training image, sound, and pose classifiers with no code and no account.

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

Training data, RL environments, and red-teaming for LLM and computer-use agent teams

CVAT is an open-source data annotation platform for image, video, 3D point cloud, and audio labeling.

Synthetic data generation for computer vision that ships photorealistic, auto-annotated training sets on demand.

Open-source data annotation for text, image, audio, video, 3D, and AI agent traces — built in YAML, self-hosted free.

Managed human data annotation for computer vision and NLP — bounding boxes, polygons, cuboids, keypoints, segmentation, text and audio labels, priced per

Hub recruits the physical world to capture egocentric, teleoperation, hand-tracking and tactile training data for embodied AI.

Open-source, project-based tool for turning your documents into QA datasets for LLM fine-tuning.

Markup turns PDFs and long text into structured NLP and ML datasets with AI-assisted annotation in the browser

Enterprise dataset management platform for AI training teams

Outlier AI pays subject-matter experts to train AI models remotely through flexible, project-based prompt writing and answer grading.

GameEngineBench scores frontier AI models on real UE5 game-engine programming tasks, not static coding puzzles.

Sureform turns your operational data into a licensable AI training asset that pays you per deal