Reveal
Reveal is a comprehensive eDiscovery and investigation platform that uses artificial intelligence to help legal teams automate data review and uncover critical insights during complex litigation.
V7 is an AI data engine providing a unified platform for training data labeling, automated annotation, and model management to accelerate the development of computer vision applications.
Quick Comparison
| Feature | Reveal | V7 |
|---|---|---|
| Website | revealdata.com | v7labs.com |
| Pricing Model | Custom | Subscription |
| Starting Price | Custom Pricing | Free |
| FREE Trial | ✘ No free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2008 | 2018 |
| Headquarters | Chicago, USA | London, UK |
Overview
Reveal
Reveal provides you with an end-to-end eDiscovery solution that handles everything from data collection to final production. You can manage massive volumes of documents using integrated artificial intelligence that identifies patterns, sentiments, and key concepts automatically. This allows your legal team to move past manual review and focus on building your case strategy with higher precision.
The platform is designed for law firms, corporate legal departments, and government agencies dealing with high-stakes investigations. You can deploy it in the cloud or on-premise, giving you the flexibility to meet strict data security requirements. By combining processing, review, and advanced analytics into one interface, you eliminate the need to jump between different tools during the discovery process.
V7
V7 is an automated training data platform designed to help you build and deploy computer vision models faster. You can manage the entire AI lifecycle in one place, from uploading raw images and video to labeling data with AI-powered tools and monitoring model performance. It eliminates the need for fragmented tools by combining data management, manual annotation, and automated workflows into a single, collaborative environment.
You can automate up to 90% of your labeling tasks using the platform's 'Auto-Annotate' feature, which identifies object boundaries with high precision. Whether you are a small research team or a large enterprise in healthcare, manufacturing, or autonomous driving, V7 helps you maintain high data quality while significantly reducing the time spent on manual tasks. It scales with your needs, offering robust API access and seamless team collaboration features.
Overview
Reveal Features
- Visual Analytics See your data through interactive maps and communication networks to identify key players and hidden relationships instantly.
- Brainspace Integration Utilize industry-leading data visualization and augmented intelligence to sort through millions of documents in minutes.
- Sentiment Analysis Detect the emotional tone of communications to find high-pressure conversations or signs of intent automatically.
- Image Recognition Search for specific objects or themes within images and PDFs without needing manual tags or descriptions.
- Automated Translation Translate documents in over 160 languages directly within the platform to keep your multi-national reviews moving.
- Active Learning Train the system to recognize relevant documents based on your decisions, significantly reducing the total review volume.
V7 Features
- AI Auto-Annotation. Create complex polygons and masks in seconds by simply clicking on objects, reducing your manual labeling time by up to 90%.
- Video Labeling. Annotate video files with frame-by-frame precision and use object tracking to automatically follow items across multiple frames.
- Dataset Management. Organize millions of images and videos with powerful filtering, versioning, and metadata tagging to keep your training data structured.
- Real-time Collaboration. Work together with your team in real-time, assign tasks to labelers, and use built-in chat to resolve data ambiguities quickly.
- Quality Control Workflows. Build custom multi-stage review pipelines to ensure every annotation meets your accuracy standards before it reaches your model.
- Model Management. Deploy your trained models as labeling assistants or run them in the cloud to automate your data pipeline end-to-end.
Pricing Comparison
Reveal Pricing
V7 Pricing
- For students and researchers
- Auto-Annotate tool access
- Up to 100 images
- Community support
- Public datasets only
- Everything in Education, plus:
- Private datasets
- Priority support
- Advanced video labeling
- API and CLI access
- Custom workflow stages
Pros & Cons
Reveal
Pros
- Powerful AI tools significantly reduce document review time
- Intuitive visual maps make complex data easy to understand
- Seamless integration of Brainspace analytics directly into the workflow
- Highly scalable for cases involving millions of documents
Cons
- Advanced features require a significant initial learning curve
- Processing large datasets can occasionally lead to performance lag
- Pricing is high for small, low-volume legal practices
V7
Pros
- Auto-annotate tool is exceptionally fast and accurate
- Intuitive interface makes it easy to onboard new labelers
- Superior handling of high-resolution medical imaging files
- Robust API allows for deep integration into existing pipelines
Cons
- Pricing can be high for very small startups
- Occasional lag when handling extremely large video files
- Learning curve for setting up complex automated workflows