Analytics startup Bodo Inc. said today it has raised $14 million in a Series A funding led by Dell Technologies Capital to build and sell its parallel computing platform optimized for analytics and machine learning.

Specifically, the two-year-old firm is targeting Python, a programming language that’s optimized for analytics and machine learning. Its software scales to more than 10,000 central processing unit cores processing petabytes of data while improving analytics performance more than a hundredfold and boosting runtime efficiency tenfold, the company claims.

Bodo said its “inferential compiler” solves the performance problems of running programs in Python, a high-level language that must be interpreted, thereby significantly slowing execution speed. Because of Python’s performance limitations, data science organizations typically rewrite Python code into a compiled language such as Scala, C++ or Java.

The company said its technology eliminates the need to rewrite Python code or use new libraries or application programming interfaces. Developers need only use open-source libraries such as Pandas, NumPy or Numba, and the system’s inferential compiler infers parallelism from the application code and compiles it into binary format for fast execution.

“Parallel computing is the only way to keep up with computational demands for artificial intelligence and machine learning and extend Moore’s Law,” Ehsan Totoni, the company’s chief technology officer, said in a statement. Totoni, who holds a Ph.D. in computer science from the University of Illinois at Urbana-Champaign, previously worked as a research scientist at Intel Corp.’s Intel Labs and Carnegie Mellon University.

The platform is available as a free community version for on-premises use and in the Amazon Web Services Inc. cloud. Pricing details for the cloud edition are on the company’s website.

Other investors in this round include Uncorrelated Venture Funds LP, Fusion Fund Inc. and Candou Ventures LLC.

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