Exscientia
Exscientia is an AI-driven precision medicine platform that automates drug discovery and development to design high-quality medicines and predict how patients will respond to specific treatments.
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 | Exscientia | V7 |
|---|---|---|
| Website | exscientia.ai | 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 | 2012 | 2018 |
| Headquarters | Oxford, UK | London, UK |
Overview
Exscientia
Exscientia provides you with an end-to-end AI platform designed to revolutionize how you discover and develop new medicines. By combining generative AI with high-tech laboratory automation, you can move from a biological target to a high-quality drug candidate much faster than traditional methods. The platform doesn't just design molecules; it uses real patient data to predict which individuals will benefit most from specific therapies, ensuring a higher success rate in clinical trials.
You can optimize every stage of the pipeline, from initial target identification to complex lead optimization and clinical trial design. Whether you are a large pharmaceutical company or a specialized biotech firm, the platform helps you reduce the time and cost associated with bringing life-saving treatments to market. It focuses on delivering precision medicine that is tailored to the actual biological needs of patients.
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
Exscientia Features
- Generative AI Design Design sophisticated small molecules that meet multiple complex criteria simultaneously using automated generative AI algorithms.
- Target Prioritization Identify and rank the most promising biological targets for your research using deep learning and multi-omics data analysis.
- Precision Medicine Platform Test drug candidates on primary human tissue samples to see how actual patients respond before entering clinical trials.
- Automated Chemistry Accelerate your synthesis cycles with robotic laboratory integration that turns AI designs into physical compounds for testing.
- Predictive Analytics Forecast the safety and efficacy of your compounds early in the process to avoid costly late-stage failures.
- Clinical Trial Optimization Select the right patient populations for your studies using AI-driven biomarkers to increase your probability of success.
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
Exscientia 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
Exscientia
Pros
- Significantly reduces time from target discovery to clinical candidate
- Superior molecular design compared to traditional medicinal chemistry
- Strong focus on patient-centric data and real tissue testing
- Proven track record with multiple AI-designed drugs in clinical trials
Cons
- High barrier to entry for smaller research teams
- Requires significant integration with existing laboratory workflows
- Custom pricing model lacks transparency for budget planning
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