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Pascaline™ delivers data-centric and heterogeneous acceleration hardware, accompanied by orchestration software, to meet the specialized needs of AI-native cloud services.
We enable data centers and enterprises to deploy large language models (LLM) with lower hardware requirements, lower energy consumption, while increasing model quality and reducing hallucinations. Our solutions can protect data privacy and AI security.
2026 is an exciting year for hardware and AI development, with the industry growing at a rapid rate and expanding across multi-faceted global business structures.
Armed with a passion for innovation and years of technical expertise, Our Team is a dynamic blend of some of the most forward-thinking minds in the AI industry.
Our Team includes experts with professional backgrounds in AI algorithmic development, model optimization, neural networks, high performance computing, GPUs, ASIC, and advanced FPGA system development. Furthermore, Our Team brings with them application experience ranging from advanced computing, data centers, cloud software, computing memory, and SSD, to fintech, biotech, media, and communication.
Protecting customer data in an AI data center is of paramount importance due to the sensitive and often personal nature of the data processed and stored, which can include everything from financial records and medical information to proprietary business data and personal identifiers. AI applications typically require large volumes of data to function effectively, increasing the potential impact of any security breach. AI systems often make critical decisions based on the data they process, ensuring the integrity and confidentiality of this data is crucial to maintaining trust and reliability in AI outputs. Safeguarding customer data not only protects individuals' privacy and organizational assets but also upholds the ethical standards and legal obligations essential in today's digital age.

Privacy and security is an important principle to guide the development and use of AI technologies. This means that AI algorithms need to protect customers data by exposing systems trained on private data only to groups selected by individual customers.

The energy cost to AI in its current global state is far to high to sustain. Companies and governments alike are weighted by their power demands. Our design uses lower power to run the same operations as our competitors boards.

Kind & Competent
We have just begun to witness a glimpse of a future where transformative AI will change how we work, how we live our lives, and how we entertain ourselves.
We can enable this future with an AI technology that is more deterministic, more eco-conscious, and more secure so more people can enjoy the benefit of this new, transformative technology.
We can enable this future with an AI technology that is more deterministic, more eco-conscious, and more affordable so more people can enjoy the benefit of this new, transformative technology.

Jaime Cummins is an innovator and industry leader in advanced computing and memory solutions. Cummins led Pico Computing Inc., an FPGA Board innovation company as CEO. Micron Technologies acquired Pico in 2015. After the purchase, Cummins became Senior Director within the Micron Advanced Computing & Memory Systems Group responsible for AI chip development. Prior to this, Cummins was CEO of Edison Labs an independent technology research Lab. He was also CEO and Co-Founder of both Element CXI focused on highly reliable resilient computing, as well as QuickSilver Technology a start-up that developed novel forms of reconfigurable computing. Cummins was also with Xilinx Labs, Pacific Bell Video Services, Apple Computer, Digital Creations and Solitaire Group. He has over 100 issued US patents in wide range of technologies over his career.

Jay Chiang is highly accomplished executive with experience in corporate governance and management, sales, business development, global market development. Chiang has extensive network over semiconductor, AI and technology investment in both North America and Asia Pacific. Chiang serves as board member and senior advisor for multiple organizations. Chiang was with Shanghai InfoTM Microelectronics, Synopsys, Xinex Networks, CAF Technology, Dynapro (a 3M company), Mentor Graphics and Honeywell. Chiang holds a Master of Science and Technology Management from Oregon Health and Science University.

Armed with a passion for innovation and years of technical expertise, Our Team is a dynamic blend of some of the most forward-thinking minds in the AI industry.





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