SiMa.ai has collaborated with Enclustra to accelerate Gen AI with MLSoc Modalix.
Takeaway Points
- SiMa.ai collaborates with Enclustra.
- The aim is to accelerate Gen AI with MLSoc Modalix.
- SiMa.ai is a software-centric, embedded edge machine learning system-on-chip (MLSoC) company.
SiMa.ai and Enclustra
SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, on Monday announced its first system-on-module (SoM) featuring the MLSoC Modalix 50 TOPs device. Developed in collaboration with Enclustra, an innovator in SoM development and FPGA design, this new form factor (SoM) expands the SiMa.ai portfolio to address the needs of thousands of organizations and a wide range of multi-modal and Gen AI use cases at the embedded edge.
Krishna Rangasayee, CEO and founder of SiMa.ai, commenting about the partnership, said, “The introduction of our Modalix SoM represents a critical expansion that addresses the diverse needs of the fragmented edge AI market. Our partnership with Enclustra is removing integration barriers that typically slow companies down, making it remarkably simple for companies to upgrade from legacy edge compute solutions to Modalix’s superior performance.”
Philipp Baechtold, CEO of Enclustra, remarked, “At Enclustra, our mission is to drive high-performance, energy-efficient computing solutions for the most demanding edge AI applications. Our collaboration with SiMa.ai is a game-changer—bringing together Enclustra’s deep expertise in FPGA and SoM development with SiMa.ai’s industry-leading MLSoC technology. The result is a compact, scalable, and seamlessly integrable solution that enables businesses to fast-track AI adoption at the edge while dramatically reducing development complexity and time-to-market.”
The Collaboration
According to the report, the partnership between the two companies delivers a turnkey solution that lowers the total cost of deploying AI applications at the edge in environments that require a compact form factor and high performance and the versatility to run various AI applications such as robotics, industrial automation, and unmanned aerial systems.
About SiMa.ai
SiMa.ai is a software-centric, embedded edge machine learning system-on-chip (MLSoC) company. SiMa.ai delivers ONE Platform for Edge AI that flexibly adjusts to any framework, network, model, sensor, or modality. Edge AI applications that run completely on the SiMa.ai MLSoC and Modalix and Palette product family see a tenfold increase in performance and energy efficiency, bringing higher fidelity intelligence to AI use cases spanning computer vision to generative AI in minutes.
With SiMa.ai, customers unlock new paths to revenue and significant cost savings to innovate at the edge across industrial manufacturing, retail, aerospace, defense, agriculture, and healthcare. SiMa.ai was founded in 2018, has raised $270M, and is backed by Fidelity Management & Research Company, Maverick Capital, Point72, MSD Partners, VentureTech Alliance, and more.
About Enclustra GmbH
Enclustra is a leading innovator in FPGA technology, shaping the future of high-performance embedded solutions. Headquartered in Zurich, Switzerland, with offices in Germany, the USA, and China—alongside a global network of subsidiaries—the company is fast-growing and dynamic, redefining FPGA design. Its cutting-edge portfolio includes FPGA-based electronic modules and FPGA-optimized IP solutions, delivering unparalleled performance and efficiency to industrial customers and R&D organizations.
In addition to its products, Enclustra provides world-class engineering services covering the entire FPGA system development lifecycle, from high-speed hardware and HDL firmware to embedded software, system architecture, and rapid prototyping. By combining deep FPGA expertise with industry-specific insights, Enclustra enables customers to minimize development complexity, optimize performance, and accelerate time to market. Whether advancing innovation or streamlining design processes, the company ensures FPGA technology works seamlessly for its clients.
