Toolchest
Toolchest is a B2B company based in Mountain View, CA, offering cloud-based computational biology tools that accelerate analysis for drug discovery companies, with support for Python and R environments.
Services
Toolchest offers computational biology tools in the cloud with just a line of code. The company accelerates analysis results by up to 100 times faster, especially catering to drug discovery companies. Toolchest integrates seamlessly with Python and R libraries, allowing customers to run open-source tools at scale in the cloud. Their service can be integrated with Jupyter notebooks, RStudio, Python scripts, and more, freeing users from the need to manage cloud infrastructure.
Pricing and Support
Toolchest provides a transparent, usage-based pricing model from day one. Customers can benefit from per-minute billing resolution with listed prices by the hour for vCPU, RAM, and disk usage. The company issues invoices at the end of every month based on actual usage. Toolchest offers a free tier that includes 50 free vCPU hours along with email or Slack support. Options for regulatory compliance and Service Level Agreements (SLAs) are available upon request.
Y Combinator Backing
Toolchest is backed by Y Combinator, having participated in the W22 batch. This affiliation provides the company with significant credibility and access to a vast network of resources and expertise. The support from Y Combinator is a testament to the company's potential and innovation in the B2B infrastructure sector.
Locations and Team
Toolchest operates out of Mountain View, CA, USA, while also maintaining a fully remote working environment. The team size is currently three members, allowing for a nimble and focused operation. Their services cater to regions across the United States of America, America/Canada, and globally via remote access.
Integration and Usability
Toolchest supports integration with various platforms without the need for managing cloud infrastructure. Users can integrate with Jupyter notebooks, RStudio, Python scripts, and more. This ease of use facilitates seamless adoption and operational efficiency in computational biology tasks, particularly for drug discovery companies.