multimodal-data
(9)
6thSense
6thSense builds wearable tactile sensing rigs that record how human hands actually touch the world - pressure, grip, contact, force, depth, vision and 3D hand pose - out in real homes rather than labs. It packages that multimodal, model-ready data and sells it to teams training the next generation of dexterous robots, positioning itself as a 'nervous system for physical AI.' The company is part of Y Combinator's Summer 2026 batch and is based in San Francisco.
Sureform
Sureform is a San Francisco startup (Y Combinator X25) that collects real-world, multimodal human data to train robots and world models. It equips workers at hotels, warehouses, restaurants, construction sites, and laundromats with head-mounted cameras, stereo depth rigs, and handheld grippers that capture time-synced video, audio, pose, depth, and tactile data while they do their jobs. Each session is delivered to robotics teams as structured, synchronized, training-ready data.
Dandelion Health
Dandelion Health is a New York-based clinical AI and real-world data company that turns de-identified patient records from a network of U.S. hospitals into research-ready datasets and software for drug developers and AI teams. Its multimodal platform combines structured records, clinical notes, medical images, and raw biological signals such as ECG waveforms across roughly 15 million patients, helping pharmaceutical companies design smarter trials, discover biomarkers, generate real-world evidence, and validate healthcare algorithms against diverse populations.
Foxglove
Foxglove is a San Francisco company building a data and observability platform for robotics and Physical AI. Its tools let engineers record, sync, search, and visualize the multimodal sensor data their robots produce - 3D point clouds, video, GNSS, and proprioceptive streams - so teams can debug and improve autonomous systems without building expensive in-house infrastructure. Founded in 2021 by two Cruise and Coinbase veterans, Foxglove maintains the open-source MCAP file format (now the default recording format in ROS 2) and counts NVIDIA, Amazon, Anduril, Wayve, and Waabi among its users.
Stardust AI
Stardust AI is a San Francisco-founded, data-centric AI company that helps enterprises turn raw, messy, multimodal data into the high-quality datasets that machine-learning models actually need. Through its Rosetta auto-labeling platform, its MorningStar data engine and its COSMO dataset offerings, Stardust annotates and manages 2D/3D/4D data spanning images, video, point clouds, audio and text - with heavy expertise in autonomous driving and large language models. The company works with names like SAIC Motor, BYD, Geely, Bosch, ZF, Xiaomi and JD.com, and pitches a simple thesis for the AI era: whoever controls the data controls the model.
Noetik
Noetik is an AI-native biotechnology company building foundation models of human cancer biology to discover precision immunotherapies. It pairs one of the world's largest proprietary spatial-omics datasets - hundreds of millions of spatially resolved tumor and immune cells - with a high-throughput in vivo CRISPR Perturb-Map platform to train multimodal virtual cell models like OCTO-VC. These models simulate gene expression, cell states, and tumor-immune interactions, letting researchers find drug targets and predict patient response computationally. Founded in 2022 by former Recursion leaders Ron Alfa and Jacob Rinaldi, Noetik has raised roughly $62M and licenses its models to pharma, including an anchor partnership with GSK.
Paradigm4
Paradigm4 builds scientific data management and analytics software for the life sciences. Its flagship REVEAL platform and SciDB array database let pharma, biotech, and research institutions integrate and analyze massive multimodal datasets - genomics, multi-omics, imaging, clinical records, wearables, and environmental data - to find biomarkers and validate drug targets. Co-founded in 2010 by entrepreneur Marilyn Matz and Turing Award-winning MIT professor Michael Stonebraker, the company is based in Waltham, Massachusetts.
Manifold
Manifold is a Boston-area applied-AI company building a vertical agent platform for life sciences. Its software helps pharma companies, molecular diagnostics firms, biobanks and academic medical centers turn messy multimodal biomedical data into governed, analysis-ready insight - compressing workflows that used to take months into minutes, while keeping the data governance that regulated research demands. Founded in 2016 and led by CEO Vinay Seth Mohta, the company raised an $18M Series B in December 2025, bringing total funding to roughly $40M.
Wirestock
Wirestock is a two-sided marketplace that connects 700,000+ photographers, videographers, illustrators, and 3D artists with AI labs that need ethically-sourced, high-quality multimodal training data. After pivoting from stock-content distribution in 2023, the company now supplies six of the largest foundation-model makers and is running at a $40M revenue run rate.