V7 is an AI training data platform that provides high-quality image and video annotations for computer vision models, utilizing AI-assisted labeling tools to enhance accuracy and efficiency. The platform addresses the challenge of slow and error-prone data labeling processes by streamlining workflows and enabling rapid deployment of training data.
Funding
$43.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
THFounders
Product
Problem
Training robust computer vision and generative AI models requires accurately labeled image and video data, but manual annotation is slow, expensive, and prone to errors, creating a bottleneck in AI development. Existing tools often lack the AI assistance and workflow automation needed to efficiently manage large datasets and diverse annotation tasks.
Solution
V7 provides an AI-assisted data annotation platform designed to streamline the creation of high-quality training data for computer vision and GenAI applications. The platform combines automated labeling tools, customizable workflows, and expert annotation services to accelerate the data preparation process. By automating repetitive tasks and minimizing labeling errors, V7 enables teams to move from R&D to production faster while maintaining data privacy and security.
Target Audience
V7 targets AI research teams, data scientists, and machine learning engineers across industries like healthcare, finance, logistics, and manufacturing who need high-quality, accurately labeled data to train computer vision and generative AI models.
Features
- AI-assisted labeling with tools like SAM2 and V7 Auto-Annotate to automate repetitive annotation tasks
- Customizable workflows to manage complex annotation projects and diverse data types
- Support for image annotation, video annotation, DICOM & NIfTI, RLHF & GenAI, and microscopy data
- Multi-modal data extraction from PDFs, call recordings, pitch decks, spreadsheets, and other file formats
- Integration with a network of 40,000 expert annotators for specialized training data needs
- Enterprise-level security with end-to-end encryption and SOC 2 Type II certification
- Granular permissions and transparent use of models to ensure data privacy and compliance
- V7 Go for document workflow automation using LLMs