
Falcon Computing Solutions simplifies the adoption of hardware acceleration so data scientists and software developers can speed up compute‑intensive workloads. The company provides automated C/C++-to-FPGA compilation tools, runtime management, and acceleration libraries to integrate FPGA-based heterogeneous accelerators into existing data center and cloud environments. Their technology targets domains such as genomics, machine learning, finance, and computer vision and supports deployment on public and private clouds. Falcon operates as a B2B provider serving enterprises and research teams that need energy-efficient, high-performance acceleration for large-scale data workloads.

Falcon Computing Solutions simplifies the adoption of hardware acceleration so data scientists and software developers can speed up compute‑intensive workloads. The company provides automated C/C++-to-FPGA compilation tools, runtime management, and acceleration libraries to integrate FPGA-based heterogeneous accelerators into existing data center and cloud environments. Their technology targets domains such as genomics, machine learning, finance, and computer vision and supports deployment on public and private clouds. Falcon operates as a B2B provider serving enterprises and research teams that need energy-efficient, high-performance acceleration for large-scale data workloads.
Founded: 2014
Headquarters: Santa Clara, California, United States
Core product: Automated C/C++-to-FPGA compilation tools, runtime management, and acceleration libraries for FPGA-based data-center acceleration
Target domains: Genomics, machine learning, finance, computer vision
Latest funding: Series B (May 8, 2017) — lead investor: Intel Capital; amount reported ~$8.0M
Exit / outcome: Assets acquired by Xilinx (Dec 2020)
Compute-intensive data-center workloads (genomics, machine learning, finance, computer vision).
2014
Data and Analytics
8,000,000 USD
Dealroom lists Series B amount as $8.0M.
“Backed by institutional and corporate investors including Intel Capital, Baidu Ventures, Sierra Ventures, Clear Ventures, Huawei, and a National Science Foundation grant.”