V7 Labs (legally V7 Ltd) is a London-based software company that develops tools for annotating visual data and automating document-based workflows using large language models. The company originated as Aipoly, founded in San Francisco in 2015, and rebranded as V7 after relocating to London in 2018. Its products serve industries including healthcare, pharmaceuticals, agriculture, and legal services.
History
The firm launched as Aipoly in 2015, releasing a mobile application that generated audio descriptions of objects for visually impaired users and later developing computer-vision systems for retail. In 2018 it moved to London and adopted the name V7. The company's Darwin platform includes image-annotation tools and model-training workflows incorporating active learning. In 2022 the company released a Chrome extension intended to detect AI-generated profile images.
In April 2024 V7 introduced V7 Go, a platform for automating document and office workflows using large language models. Its users upload files and it issues natural-language instructions, with applications such as invoice processing and document summarization.
Operations
V7's software has been deployed in medical imaging and related healthcare workflows, including dataset creation and annotation for training models to identify findings on diagnostic scans and support DICOM-based pipelines. It is also used in pharmaceutical manufacturing, such as computer-vision systems for visual inspection tasks on production lines.
Technology
V7's applications are used in document processing, where its software automates steps such as information extraction, invoice processing, and document summarization through large language models and multi-step workflows. These applications have also been deployed for legal document review, including extracting structured data from contracts and due-diligence materials. V7 technology is also used in agricultural robotics, where the platform supports dataset creation and model iteration for crop identification tasks.
Platform and Tools
The Darwin platform integrates annotation tools with model training, using techniques like active learning to reduce labeling effort. It supports various data types, including images and video, and provides workflows for building custom Machine learning models. The platform is designed for teams that need to manage large datasets and iterate on model performance.
Industry Applications
In healthcare, V7 aids in building datasets for diagnostic imaging, helping to train models that detect abnormalities in scans. In pharmaceuticals, its computer-vision systems perform quality control on production lines. For agriculture, the platform enables the development of robotics that identify crops and weeds. In legal and administrative settings, V7 Go automates document-heavy tasks, improving efficiency in contract review and data extraction.