Alternatives to Vibrant Labs

Human-recorded computer-use datasets that teach AI agents to operate real software the way people do.

GameEngineBench benchmarks and UE5 training data for AI agents that write real game-engine code.

Audio datasets built like research artifacts for teams training speech recognition, translation, synthesis and voice-interaction models

Open-source, multimodal data annotation platform for image, video, 3D point cloud, and audio labeling—self-hosted, cloud, or fully managed

Applied research lab that captures expert reasoning and structures it into SFT, RL rubric, agent, and computer-use training data for frontier models.

A human data platform connecting AI teams and researchers to 300,000+ verified participants for preference tuning, safety evals, and online studies.

A free 70,000-image Zalando clothing dataset built as a drop-in replacement for MNIST.

Snorkel AI builds expert training data, evals, and runnable environments for frontier models and agents.

Multimodal real-world human data for training embodied AI agents

BioStack Platforms supplies structured clinical datasets and RL environments for healthcare AI teams.

Open Somali AI datasets and speech models — SomNLP-Corpus, whisper-som ASR, and SomBench benchmarks from Somast.

Sakana AI builds Japanese-specialised LLMs and multi-agent orchestration for regulated finance, defense and intelligence teams

Imbue is an open AI lab publishing modular, open-source coding-agent tools you run and inspect yourself.

Google Antigravity is a free, multi-agent coding platform that runs parallel AI agents across real codebases.

European-built legal AI for enterprises: research, contract review, drafting, regulatory monitoring and due diligence in one governed system.

Hermes Desktop is an open-source desktop GUI for the Hermes Agent, with a built-in learning loop that turns your tasks into reusable skills

Offline AI image annotation for YOLO and VOC datasets — local SAM2, SAM3 and YOLO-World, one-time purchase from $49.

Open-source SuperAgent harness that researches, codes, and creates inside a persistent Docker sandbox — MIT licensed and self-hosted.

Structured3D: a 3,500-design photo-realistic synthetic dataset with dense 3D structure annotations for scene-understanding research.

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

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

Browser-based annotation workspace that turns PDFs and long text into structured datasets with AI assistance

Velvet sources, verifies, and delivers curated video datasets that help AI labs train interactive and world models with real spatial reasoning.

Traverse is a research lab producing expert-captured training data that gives frontier models taste and judgment for ambiguous, long-horizon work.

Open-source Python framework for generating grounded synthetic datasets from real sandboxed tool execution traces.

Open-source Python framework for building distributed multi-agent AI systems with debate, routing, handoffs, and pipelines.

Open-source Python toolkit that auto-labels images with big foundation models, then trains small fast vision models you own.

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

Early-stage San Francisco robotics lab building policies for robots that do real work, and hiring its first researchers.

Potato is a free, open-source annotation tool for text, image, audio, video, and AI agent trace labeling — all configured in YAML.