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The biotech landscape is littered with the graves of projects and companies that picked the wrong molecule, and researchers have dedicated considerable resources to solving it.

Buckle up, because we’re about to embark on a journey into the future of life sciences - the merger of Deep Origin and BiosimAI. The strategic fusion of these two entities amplifies their capabilities, combining BiosimAI’s molecular simulation capabilities with Deep Origin’s computational infrastructure to enable R&D at unprecedented accuracy, scale, and speed. As part of the merger, BiosimAI's tools will become available for users in Deep Origin's computational platform, democratizing access to molecular simulation. Long-term, the merger will enable BiosimAI and Deep Origin to work together to develop predictive simulations of living systems that can accelerate drug development and ultimately help humanity live longer, healthier, and happier lives.

The integration of the NVIDIA Parabricks GPU-accelerated genomics tools into Nextflow modules enables researchers to easily build pipelines that accelerate genomics workloads by up to 100X. Deep Origin ComputeBenches are cloud-based development environments for bioinformatics, where you can use Parabricks interactively, without the need for Docker. Try out Deep Origin ComputeBenches with $500 in credits for your first month, and join our NVIDIA Parabricks and GATK virtual training project at the end of January!

Today, we're proud to announce the beta release of Deep Origin’s first product: the ComputeBench. The ComputeBench is a cloud-based environment for interactive analysis in computational biology and bioinformatics. It’s designed from the ground up for computational scientists - providing you the compute and storage resources you need, the software packages you expect, and tools for seamless collaboration with your team, all in a secure, backed-up and scalable platform.

The number of software solutions in life science has exploded in the last few years. This has created a new set of problems: the software ecosystem is fragmented and non-interoperable. We mapped the landscape to find out what software is available, how it can help, and how it could be integrated.