V7

V7 is an advanced AI platform dedicated to enabling organizations to build and deploy trustworthy AI by integrating human expertise with artificial intelligence. The platform offers two distinct but powerful products: V7 Darwin and V7 Go, catering to the entire AI development lifecycle from data preparation to workflow automation. V7's mission is to embed human knowledge into computer systems, accelerating the resolution of critical global tasks and improving quality of life. It is trusted by Fortune 500 companies and leading teams across various sectors including Healthcare, Finance, Legal, Insurance, Logistics, and Manufacturing.

How to use V7

Using V7 involves selecting the product that aligns with your specific needs:

For V7 Darwin (Data Labeling):

1. Upload Data: Begin by uploading your raw data, which can include images, videos, DICOM/NIfTI files, microscopy slides, and more.
2. Annotate: Use the advanced annotation suite to label your data. You can leverage AI-assisted tools like SAM2 and V7 Auto-Annotate to speed up the process significantly. These tools automate repetitive tasks, allowing human annotators to focus on complex cases.
3. Manage & Collaborate: Manage your labeling workflows, assign tasks to your team, and review the quality of annotations. The platform is built for collaboration and operational efficiency.
4. Train Your Model: Once your dataset is accurately labeled, export it to train your custom computer vision or generative AI models. The platform helps move from R&D to production in weeks instead of months.

For V7 Go (Workflow Automation):

1. Define Workflow: Break down complex business processes into a series of steps that can be understood and executed by Large Language Models (LLMs). This is done through a centralized, no-code interface.
2. Connect Systems: Integrate V7 Go with your existing systems of record to allow AI agents to access and process information from various sources like PDFs, call recordings, spreadsheets, and pitch decks.
3. Automate & Review: Run the automated workflows at scale. The AI agents extract insights and figures with human-level accuracy. You can set up conditional logic to route sensitive or complex tasks for human review, ensuring a human-in-the-loop for critical decisions.
4. Deploy: Enable your team to automate repetitive parts of their work, doubling productivity and reducing time-to-value by up to 95%.

Core Features of V7

• V7 Darwin - Advanced Data Labeling: A best-in-class tool for creating highly accurate training data for computer vision and GenAI. It supports video annotation, DICOM & NIfTI for medical imaging, RLHF, and more.
• V7 Go - AI Agent Workflow Automation: Automates knowledge work by breaking down tasks for LLMs. It enables multi-modal data extraction from various file formats in any language.
• AI-Assisted Labeling: Features like Auto-Annotate and SAM2 integration boost labeling speed and accuracy, reducing manual effort.
• Data Annotation Services: Access to a network of over 40,000 expert human annotators for specialized data labeling needs in healthcare, generative AI, and video.
• Enterprise-Grade Security: Ensures data privacy and security with SOC 2 Type II certification, end-to-end encryption, data sovereignty, and robust access controls.
• No-Code Framework: V7 Go provides an intuitive, no-code interface, making it accessible for everyone in the team, not just CTOs or developers.
• Flexible Model Support: V7 Go supports various foundation models and allows users to connect their own API keys for custom model integration.

Use Cases for V7

V7 is versatile and applied across numerous industries for complex tasks:

• Healthcare & Pharma: Automating radiology annotation (DICOM & NIfTI), digital pathology analysis, and processing health records.
• Financial Services: Automating the processing of financial statements, 10-K reports, and due diligence for M&A.
• Insurance: Streamlining insurance claims analysis and processing.
• Logistics: Automating customs forms and analyzing asset inspection reports.
• Manufacturing: Powering manufacturing automation and quality control through visual inspection.
• Legal: Automating the analysis of legal documents and contracts.
• Automotive: Developing ADAS (Advanced Driver-Assistance Systems) by labeling vast amounts of video data.

Advantages of V7

The primary advantage of V7 is its 'Human + AI' approach, which creates trustworthy and reliable AI systems. It significantly improves productivity, with customers reporting up to 21x speed improvements in processing financial statements and a 35% growth in productivity for due diligence. The platform is built for scalability and security, making it suitable for enterprise-level deployment. By providing both a state-of-the-art data labeling tool (Darwin) and a powerful workflow automation engine (Go), V7 offers an end-to-end solution for operationalizing AI within an organization.

Pricing and Plans

V7 Go offers custom pricing plans tailored to specific organizational needs. The total cost is a sum of three components: a platform fee for foundational access, flexible user licenses with customizable roles, and volume-based data processing charges. This ensures that you only pay for what you use. To get an exact quote, prospective customers are encouraged to schedule a 30-minute consultation to assess their requirements. Pricing for V7 Darwin is also enterprise-focused and typically requires a consultation.