Cradle is an AI-based protein design tool aimed at helping biologists and scientists optimize proteins more efficiently. It leverages predictive algorithms and unique design suggestions to give users a comprehensive platform to visualize, analyze, and predict protein potential in a single workflow. The tool is designed to accelerate research and development of novel protein-based applications that are more productive and sustainable.
Cradle's features notably include AI-based predictions, ease of use, and comprehensive design tools, among others. Additionally, the platform values user privacy and security, with users retaining full ownership of their intellectual property.
With years of experience in the industry and backing from leading investors, Cradle is committed to offering the ultimate solution for scientific protein design.
TLDR
Cradle is an AI-based tool for protein design that accelerates research and development by providing comprehensive tools, predictions, and design suggestions. The platform offers easy-to-use and user-friendly interfaces with features such as accuracy and speed of a prediction algorithm, machine learning models, robust prediction algorithms, innovative design suggestions, and unique design optimization tools.
Cradle values user privacy and security and is flexible, competitively priced, and tailored to meet the requirements of all businesses. The tool is suitable for various biology domains such as design enzymes, protein engineering, and solving protein crystallography structures.
Company Overview
Cradle is an AI-based tool that assists biologists in designing optimized proteins in record time, leveraging robust prediction algorithms and innovative design suggestions. The company provides a comprehensive platform for scientists to visualize, analyze, and predict the potential of protein candidates in a single workflow, thereby accelerating the research and development of novel protein-based applications. With Cradle, biologists can train the AI using results from wet lab experiments, develop a tailor-made model, and improve candidates incrementally, optimizing their efficacy with each round of testing.
One of Cradle's standout features is its ease of use, offering fast, accurate results with just a click of a button. The platform enables users to predict a protein's 3D structure, generate new sequences with enhanced thermostability, and optimize codons, along with several other features in development, all while maintaining the accuracy and speed of AlphaFold 2. Additionally, Cradle can optimize a protein’s specificity, affinity, solvation, and rate, utilizing machine learning models that have seen extensive DNA-protein-sequence-pairs unique to the user's host.
Cradle values privacy and security and ensures that all sequences and data remain secure and private, with users retaining full ownership of all intellectual property. Furthermore, the platform is applicable for any project, ranging from simple research with a 96 well plate to high throughput experiments.
The company's mission is to make protein design and implementation more accessible for a sustainable world, with a vision to replace traditional farms and factories with cellular fabrication.
Cradle is a team of experienced industry veterans committed to offering the ultimate solution for scientific protein design. The team consists of Jelle, Elise, Ena, Tomasz, Martin, Eli, Harmen, Max, Adam, Sytske, Arthur, Daniel, Franzi, Emily, and Stef. The company is backed by leading investors, including Index Ventures and Kindred Capital, along with world-class advisors and angel investors who are committed to promoting positive changes through scientific research and development.
Features
Easy-to-Use Platform
Fast and Accurate Results
Cradle is designed with the ease of use in mind, giving scientists and biologists the ability to generate fast, accurate results for their protein design needs. With just a click of a button, users can predict a protein's 3D structure, generate new sequences with enhanced thermostability and optimize codons, along with several other features currently in development.
User-Friendly Interface
The interface of the Cradle platform is user-friendly, enabling scientists to visualize, analyze, and predict the potential of protein candidates in a single workflow. The platform allows for easy optimization of a protein's specificity, affinity, solvation, and rate, utilizing machine learning models that are unique to the user's specific DNA-protein-sequence-pairs. This makes it ideal for any project, ranging from simple research with a 96 well plate to high-throughput experiments.
AI-Based Tool
Cradle uses cutting-edge AI algorithms to predict and optimize protein design. The platform enables biologists to train the AI using the results from wet lab experiments, develop a tailor-made model and improve candidates incrementally, optimizing their efficacy with each round of testing.
Comprehensive Protein Design Platform
Visualize, Analyze, and Predict Protein Candidates
Cradle offers biologists a comprehensive platform for visualizing, analyzing, and predicting the potential of protein candidates in a single workflow. This streamlined approach accelerates research and development of novel protein-based applications, making protein design and implementation more accessible for a sustainable world.
Optimize Protein Functionality
The Cradle platform allows scientists to optimize protein functionality by leveraging robust prediction algorithms and innovative design suggestions. Cradle can optimize a protein's specificity, affinity, solvation, and rate, utilizing machine learning models that are trained on the user's specific DNA-protein-sequence-pairs unique to the user's host.
Train the AI to Optimize Protein Design
With Cradle, biologists can train AI to enhance protein design by using the results from wet lab experiments, developing a tailor-made model or improving candidates incrementally. The platform's intelligence optimizes the efficacy with each round of testing, saving time and resources in the protein design process.
Privacy and Security
Secure and Private Data
Cradle values privacy and security and ensures that all sequences and data remain secure and private. Users retain full ownership of all intellectual property, making Cradle a robust and dependable protein design platform for scientific research and development.
Personal Access Controls
Cradle is designed to provide each user with unique access/security controls, providing additional security for all sequences and data. This personal access control system ensures user data integrity while providing reliable protein design support.
Industry Best Practices
Cradle follows industry standard protocols and frameworks, utilizing best practices such as GDPR, HIPAA, ITIL, ISO 12207, and ISO 27001 to ensure the security and privacy of user data. The users' trust in the Cradle platform is of utmost importance, and by following these guidelines, Cradle provides robust security and privacy to its customers.
Extensive Support
Professional Customer Support
Cradle offers extensive support for its users, with a team of experienced industry veterans committed to offering the ultimate solution for scientific protein design. The team is available to help users with any issues that arise, with full support for feature-driven development and through-life system support.
Scalable and Integrated Product
Cradle offers a scalable and integrated product that integrates your entire project lifecycle in one, massively scalable, integrated, multi-user product. Whether your projects are small and local, large and distributed, or anywhere in between, the Cradle platform offers fully integrated support.
Flexible Implementation and Integration
Cradle is entirely flexible in integration with almost any system, providing fully customizable reports and dashboards. The platform supports agile, iterative, or phase-based approaches and makes it useful for the evaluation of any process.
Pricing
Cradle offers a flexible pricing model to cater to the varying needs of businesses. Their pricing is based on the number of concurrent users and the amount of data storage required. Interested customers can get in touch with the Cradle sales team directly to request a quote suited to their specific needs.
Cradle's pricing is highly competitive when compared to similar tools in the market. They offer a range of pricing options that are affordable and provide value for money. Cradle's pricing is tailored to suit the requirements of both small and large businesses, making it accessible to everyone.
One of the key benefits of Cradle's pricing model is its flexibility. This allows businesses to scale their usage up or down as needed, depending on their changing requirements. This means that businesses can save costs if they need to scale down their usage without worrying about paying for unused capacity.
Cradle's pricing also provides customers with transparent pricing and no hidden fees. Customers only have to pay for what they use, and there are no additional charges for features or functionality.
While Cradle does not provide specific pricing information on their website, interested customers can get in touch with the sales team for a detailed quote suited to their specific needs. This helps ensure that customers only pay for what they need and their pricing is tailored to meet their requirements.
Overall, Cradle's pricing is competitive, flexible, transparent, and tailored to suit the specific needs of businesses of all sizes. With no hidden fees, customers can rely on Cradle to provide a reliable and cost-effective AI tool solution.
FAQ
What is Cradle and how does it work?
Cradle is an AI-based platform that helps biologists design optimized proteins quicker than ever before by utilizing prediction algorithms and design suggestions. Its predictive algorithm accurately determines a protein's 3D structure and suggests sequence variations that increase its thermostability, affinity, specificity, rate, and more. Furthermore, the AI learns from the user's wet lab experiments and presents tailored models that improve with each iteration, allowing biologists to apply their newfound knowledge to future experiments and drug development, all while remaining accurate and reliable.
What makes Cradle different from other protein design tools?
Cradle distinguishes itself from other protein design tools on several fronts. Unlike other tools, Cradle offers a comprehensive platform that allows biologists to visualize, analyze, and predict the potential of optimized proteins with a single workflow, thereby accelerating the research and development of novel protein-based applications.
Additionally, Cradle's AI utilizes machine learning models unique to the user's host, introducing robust prediction algorithms and innovative design suggestions to improve candidates incrementally. The platform enables users to predict a protein's 3D structure, generate new sequences with enhanced thermostability, and optimize codons, among other features in development, all while maintaining the accuracy and speed of AlphaFold2.1 for unparalleled efficiency.
What kind of projects is Cradle's tool suited to?
Cradle is suitable for any project range, from a simple research project with a 96-well plate to high-throughput experiments. The tool is useful in different biology domains, such as designing enzymes, protein engineering, and solving protein crystallography structures.
Is my data and intellectual property safe and secure with Cradle?
Cradle values user privacy and security and has stringent measures in place to protect users' data and intellectual property. The platform ensures that all sequences, data, and intellectual property remain private and secure, with users retaining full ownership of their data. Cradle employs the latest security protocols to protect against unauthorized access, modification, disclosure, and damage of data, making it one of the most secure AI-based protein design platforms available.
Can I train the Cradle AI using my wet lab experiments?
Yes, you can train the Cradle AI by uploading your wet lab experimental results. The AI model will learn from the data provided, and improve prediction accuracy and modeling throughout subsequent iterations.
The more data provided, the better the AI model will become. This feature assists biologists in predicting protein structures with higher accuracy and in reducing human errors associated with protein design.
