High-throughput, on-demand scientific computing

A great way to empower your team

The high-performance cloud provides access to massive computational resources available nearly instantaneously, revolutionizing the design and optimization process. Our goal is to help you perform massively parallel scientific simulations by providing streamlined access to the HPC cloud and pre-compiled scientific software. Our software is custom-designed to perform optimally in the cloud by utilizing our proprietary latency-aware algorithms.

10X Faster Development

Our solvers are the only computational software designed to run natively in the cloud. Nearly all open source and commercial scientific software are designed for low-latency environments such as supercomputers or specifically designed clusters. When these codes are ported to the cloud, they perform very poorley due to the architecture of the cloud computing environment. We designed our solvers to perform optimally in this environment, allowing us to solve your cases more than 10 times as fast as existing commercial ans OSS software.

Increase Productivity

We offer high-throughput solutions for many of our solvers. Due to the virtually unlimited resources available in the cloud, our customers can run arbitrarily large parameter sweeps concurrently. Our high-throughput solvers have been used to simulate thousands of design points in parallel using thousands of processors, providing results in as quickly as a minute. Instead of compiling code and waiting in queues, customers can focus on more productive tasks such as visualizing and interpreting results using our real-time in-situ visualization.


All of your data is backed up on three disparate servers, resulting in a 99.9999% redundency. Furthermore, we realize that your cases may contain highly sensitive data. We implement stringent security measures to ensure your data is safe. All data transfer from your computer to our servers is sent over SSL and stored in encrypted databases. Our cloud computing providers (Amazon and Google) have a proven security record and all data sent to the compute platform is encrypted and transmitted over their SSL-enabled API.

Key Features

Our product line is designed specifically for high performance in the cloud and uses our proprietary technology to deliver results 10-100x faster than modern mid-sized clusters with 256 cores.
  • Reduces time-to-result by more than an order of magnitude.
  • High-throughput design running 1000's of cases concurrently.
  • Resources always available.
  • Real-time in-situ data visualization.
  • No HPC experience required!
  • As low as $0.20/cpu-hr!

Customers Worldwide

Start Your Free Trial Today

30 Day Free Trial

Pay as you go

There is no need to buy software or a dedicated cluster. Instant access to powerful EM software combined with unlimited computing power at just $0.20 / CPU-hour.


Use parfor for extremely high throughput computing. Most jobs that need days or even weeks on a desktop can be finished in less than 10 minutes.

No download, no installation

Simply drag and drop your text input file. It will run in the cloud. Once finished, you can download output data.

Unlimited resources

Leveraging low-cost commercial clouds, EnReal provides elastic and virtually unlimited computing power. You can simultaneously run as many jobs as you want. No queue and no waiting time required.

Featured High-throughput Solvers

S4 (or simply S4) stands for Stanford Stratified Structure Solver, a frequency domain code to solve Maxwell’s equations in layered periodic structures. S4 can compute transmission, reflection, or absorption spectra of structures composed of periodic, patterned, planar layers. The electromagnetic fields throughout the structure can also be obtained, as well as certain line and volume integrals. Internally, S4 uses Rigorous Coupled Wave Analysis (RCWA; also called the Fourier Modal Method (FMM)) and the S-matrix algorithm. The program is implemented using a Lua frontend, or alternatively, as a Python extension. S4 was developed by Victor Liu of the Fan Group in the Stanford Electrical Engineering Department.

The MIT Photonic-Bands (MPB) package is a free program for computing the band structures (dispersion relations) and electromagnetic modes of periodic dielectric structures, on both serial and parallel computers. It was developed by Steven G. Johnson at MIT along with the Joannopoulos Ab Initio Physics group. This program computes definite-frequency eigenstates (harmonic modes) of Maxwell's equations in periodic dielectric structures for arbitrary wavevectors, using fully-vectorial and three-dimensional methods. It is especially designed for the study of photonic crystals (a.k.a. photonic band-gap materials), but is also applicable to many other problems in optics, such as waveguides and resonator systems. (For example, it can solve for the modes of waveguides with arbitrary cross-sections.)