What is V7 ai

V7 is an AI company that provides a training data platform and services to accelerate AI product development. They focus on helping AI, ML, and Data Science teams with various aspects of their work, primarily:

Key offerings and capabilities of V7 AI:

• Training Data Platform (V7 Darwin): This is their core product for data labeling and annotation. It allows users to:
  • Label data at scale: Supports images, videos (including long videos up to 100K+ frames), medical formats (like DICOM, NIfTI, TIFF), and documents.
  • Automate annotation: Features like auto-annotation, AI-assisted labeling, and automatic segmentation speed up the process.
  • Manage datasets: Provides tools for dataset management and versioning.
  • Integrate with ML workflows: Users can train custom machine learning models directly on the platform and integrate with various ML frameworks.
  • Ensure quality: Offers rigorous QA solutions and human-in-the-loop elements to optimize data quality.
• AI Agents for Workflow Automation (V7 Go): This platform is designed to automate knowledge work and document processing using Generative AI and Large Language Models (LLMs). It allows businesses to:
  • Automate multi-step tasks: Enables the creation of AI agents that can execute complex workflows across departments.
  • Extract multi-modal data: Extract information from various file formats like PDFs, call recordings, spreadsheets, etc.
  • Streamline operations: Helps automate tasks like lease abstraction, investment analysis, insurance claims processing, and more.
• Expert Labeling Services: In addition to their platform, V7 also provides expert labeling services, connecting customers with a network of annotators, including scientists and medical professionals, to ensure high-quality, specialized training data.

In essence, V7 aims to address the challenge of creating high-quality training data, which is often a bottleneck in AI development, and to automate complex knowledge-based tasks using AI agents. They cater to a wide range of industries, including healthcare, finance, logistics, and manufacturing, with a focus on companies dealing with substantial datasets and looking to build trustworthy and robust AI solutions.