AI tools for Data Search

Artlist.io is an all-in-one subscription platform catering primarily to video creators, filmmakers, and social media content producers who require high-quality digital assets un

Atoms.dev is a multi‑agent product development platform that transforms plain‑language ideas into fully functional, production‑ready web and mobile applications, without requiri

This sophisticated platform empowers businesses to deploy highly capable voice and text interaction agents capable of handling customer support, lead qualification, and internal

KIVA by Wellows is an advanced SEO automation platform engineered to streamline keyword research, content optimization, and performance tracking for startups, SMEs, agencies, an

Xiaomi-Robotics-1 is a vision-language-action foundation model for mobile manipulation. Xiaomi trained the model on more than 100,000 hours of real-world manipulation trajectori

SenseNova 6.8 Flash is SenseTime's multimodal agent model for office work and content creation. It supports tasks that span several steps or sessions and can deliver outputs suc

SceneBloom creates realistic indoor environments for training embodied agents. It translates room descriptions into varied furniture layouts and simulation-ready scenes, coverin

Mol-1 is an open biomolecular structure-prediction model with released inference and training tools. It accepts structured jobs describing proteins, DNA, RNA, ligands, ions, and

Apex-35B-V1.0 is Apex Intelligence's open-weight model for general assistance and research-oriented agent work. It supports coding, question answering, search, and computational

FlashDexRetarget converts collections of human hand-object demonstrations into physically grounded robot-hand trajectories. One reference-conditioned reinforcement-learning poli

BOTANIC-1 is a plant-genome foundation model for evaluating sequence patterns and candidate genetic variants. Pretraining across 320 plant species captures evolutionary constrai

Unpaired Rosetta is a cross-modal embedding-alignment implementation that does not require paired examples. Wasserstein Procrustes alignment estimates an orthogonal map between

DMAD is an adversarial distillation framework for reducing the sampling steps of visual generators. Two discriminator heads on a shared backbone classify teacher, student, and r

SolarWM is an open framework for training video world models that support long-horizon, camera-controlled interaction. It combines a large video-data pipeline with training and

GE-Act 2.0 is a world-action model that turns visual observations and language instructions into robot manipulation actions. It studies how pretraining from manipulation data an

OpenWAM is a modular research stack for studying how video world models can learn executable robot control. It separates infrastructure, controlled design experiments, and the r

Zero-WAM is a robot world-action model that can use a human demonstration video as an in-context task instruction. It targets manipulation tasks where language alone leaves impo

Unified Motion Retargeting, or UMR, converts human motion into reference trajectories for humanoid robots with different body structures. It uses exterior body geometry as a com

PlayTrain turns single-file JavaScript games into environments for reinforcement learning. Researchers can use language models to generate or modify a game, play it in a browser

ORBIT is a benchmark for evaluating camera-pose estimation in difficult real-world video. It uses panoramic footage to create perspective-view test clips with recoverable refere

Planetary Prediction Engine is an experimental Google Earth AI system that automates geospatial prediction from natural-language questions. It covers data discovery, preparation

UnifoLM-WLA-1.0 is Unitree Robotics general-purpose humanoid foundation model for coordinated manipulation. A single six-billion-parameter model handles desktop and whole-body t

The complete male fruit fly connectome is an AI-assisted map of the brain and central nervous system of Drosophila melanogaster. Developed by HHMI Janelia, Google Research, and

Qwen-Drive-1.0-4B combines driving-scene understanding, 3D perception, and motion planning in a unified vision-language framework. It can answer questions about a scene, expose