Suki
Suki is an AI-powered voice assistant designed for healthcare professionals to streamline clinical documentation and reduce administrative burnout through ambient note-taking and voice-enabled EHR integration.
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 | Suki | V7 |
|---|---|---|
| Website | suki.ai | v7labs.com |
| Pricing Model | Subscription | Subscription |
| Starting Price | $299/month | Free |
| FREE Trial | ✓ 0 days 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 | 2017 | 2018 |
| Headquarters | Redwood City, USA | London, UK |
Overview
Suki
Suki is an AI clinical assistant that helps you reclaim your time by automating medical documentation. Instead of spending hours typing notes after patient visits, you can use ambient sensing technology to capture conversations and generate high-quality clinical drafts automatically. It integrates directly with major electronic health record systems, allowing you to update charts, search for patient data, and dictate notes using simple voice commands.
You can use the platform across multiple specialties, from primary care to surgical subspecialties, ensuring your documentation is accurate and completed in real-time. By reducing the cognitive load of administrative tasks, it helps you focus entirely on patient care rather than a computer screen. The solution is accessible via mobile devices, tablets, or desktops, giving you the flexibility to finish your work from anywhere.
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
Suki Features
- Suki Assistant Use natural voice commands to create clinical notes, look up patient information, and complete administrative tasks within your EHR.
- Ambient Note Generation Capture patient conversations naturally while the AI automatically generates structured clinical notes for your review and signature.
- EHR Integration Sync your notes and data directly with platforms like Epic, Cerner, and Athenahealth to eliminate manual data entry.
- Multi-Specialty Support Access specialized medical vocabularies for over 90 clinical specialties to ensure your documentation is always precise and relevant.
- Suki Dictation Dictate clinical content with high accuracy and insert it directly into any text field within your existing workflow.
- Mobile Flexibility Complete your charts on the go using native iOS and Android apps that keep you untethered from your desk.
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
Suki Pricing
- Ambient note generation
- Voice-enabled EHR integration
- Mobile and desktop access
- Support for 90+ specialties
- ICD-10 code search
- Standard customer support
- Everything in Pro, plus:
- Custom EHR configurations
- Dedicated account management
- Advanced security and compliance
- Organization-wide analytics
- Volume-based licensing discounts
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
Suki
Pros
- Significantly reduces time spent on clinical documentation
- High accuracy in recognizing complex medical terminology
- Deep integration with major EHR platforms like Epic
- Easy to use with minimal training required
- Mobile app allows for flexible documentation anywhere
Cons
- Requires a stable internet connection for processing
- Ambient mode may require occasional manual editing
- Initial setup for custom EHR fields takes time
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