Cradle Review: Pricing, Features & Alternatives

Wet lab validated AI

Cradle's AI is continuously validated in a wet lab environment, ensuring that the models are reliable and effective for real-world applications. This validation process allows scientists to trust that the AI-generated candidates will perform well in laboratory settings.

Solves property trade-offs simultaneously with AI

Cradle's AI engine optimizes multiple protein properties at once, such as binding affinity and thermostability, rather than sequentially. This approach allows for a more efficient design process, balancing competing objectives to find optimal solutions.

AI that designs de-risked plates by default

The platform automatically generates experimental plates that balance achieving objectives with exploring new possibilities. By running thousands of simulations, Cradle ensures that the designs are optimized for both known successes and innovative alternatives.

Automated model finetuning

Cradle automatically builds fit-for-purpose models for each project round using a combination of public data, proprietary wet lab data, and specific project results. This ensures that the models are tailored to the unique needs of each user while maintaining privacy.

De-risked plate generation

The platform generates protein designs that are far from wild-type sequences, utilizing models trained on experimental data to predict performance accurately. This feature helps in mitigating risks associated with undesirable traits in protein candidates.

Flexible data management

Users can upload data in various formats and define custom schemas that align with their lab workflows. This flexibility allows for tailored data management and focused analyses through the platform's user interface and API.

Complete provenance tracking

Cradle provides full audit trails for every table, task, and configuration across projects, allowing users to see exactly who did what and when. This feature enhances transparency and accountability in data management.

Full API access

Users can connect Cradle directly to their existing pipelines, enabling programmatic automation of protein engineering workflows. This feature allows for seamless integration with other tools and systems.

Train Cradle across your datasets

Cradle allows users to connect all their experimental results in one place, enabling the training of custom AI models that learn from diverse datasets. This feature maximizes learning throughout the protein engineering program.

Multi-property optimization

Cradle enables users to optimize multiple protein properties simultaneously, such as activity, stability, and expression, in a single design cycle. This capability accelerates the path to achieving target product profiles.

Modular task system

Users can run multiple training and generation configurations side-by-side within each round, allowing for comparison of different approaches. This modularity helps identify the best path forward in protein design.

Advanced sequence design controls

Cradle provides users with the ability to steer their designs using template sequences, blocked mutations, and regional constraints. This feature allows for tailored optimization objectives that meet specific project needs.

Intelligent plate design

The platform generates complete experimental plates that balance achieving objectives with exploring alternative strategies. This intelligent design is based on thousands of virtual simulations to ensure optimal outcomes.

Hit identification

Cradle analyzes high-throughput screening and panning data to quickly identify promising candidates from large libraries. This feature streamlines the process of finding viable protein candidates for further development.

Enterprise-grade security

Cradle ensures the safety of intellectual property with features like single sign-on (SSO) and two-factor authentication (2FA). This enterprise-grade security provides easy and secure authentication for team members.

Role-based permissions

The platform offers granular permission controls, ensuring that the right team members have access to the appropriate projects, data, and reports. This feature enhances security and collaboration within teams.