Get to the winning molecules faster

GPU-powered chemistry simulation platform to help you get ahead of your competition

“Promethium is very intuitive to use and much faster than any other quantum chemistry tools we have. Our internal benchmarks suggest Promethium is more than 100x faster than our current tools.‍We like Promethium not only for its performance, but also for the fact that it's hosted on AWS, allowing us to consolidate all our digital tools onto one single platform”

“Director of Computational Chemistry at Top 15 Global Pharmaceutical Company”

“We like Promethium because it is much faster than alternatives and we can access the best GPUs from NVIDIA on AWS.”

Computational Chemist, Commercial Promethium User

Take your computational chemistry to the next level with a modern GPU-powered platform

*DFT on up to 2,000 atom systems

More than 10x faster calculations compared to legacy DFT tools

Have a lot of calculations to get through? Promethium's incredible speed can help you churn through your backlog and get results faster.

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Simulate large systems that aren't possible with legacy CPU-powered ab initio codes

Single point calculation of a 2,056 atom protein now simulated in 14 hours on a single GPU

Is your ML model starved for vast amounts of high quality data?

Create a large, high-quality, transferable dataset from Promethium's GPU-powered DFT code.

Promethium's results come from flagship algorithms optimized to take advantage of the performance enhancements provided by GPUs

Flagship algorithms for quantum chemistry

Modern and highly accurate hybrid Kohn-Sham density functional theory methods
High-quality Gaussian basis sets
Industry standard treatment of environmental, solvation, and dispersion effects

Optimized for the most powerful GPU hardware

Written from the ground up for NVIDIA datacenter GPUs like A100
Novel QC Ware streaming algorithms achieve unprecedented computational speed
Extremely high throughput : power consumption ratio

Coupled with the unlimited scalability of the cloud

Batch processing enables seamless analysis over whole databases of molecular systems
End-to-end workflows are automatically dynamically parallelized
Rapid turnaround of complete computational studies is routine