Welcome to Tranxform
Company Profile Introduction
Company Name: Tranxform AI, Ltd.
Industry: Artificial Intelligence and Acceleration Solutions
Founded: 02/07/2024
Headquarters: Hsinchu, Taiwan
About Us
Tranxform is a cutting-edge technology company committed to revolutionizing industries through state-of-the-art artificial intelligence (AI) solutions, robotics, and conversational AI (talk bots). With a strong focus on medical AI, we develop innovative tools to enhance patient care, streamline diagnostics, and improve healthcare outcomes.
Our expertise extends to creating intelligent robots and talk bots, designed to automate processes, deliver real-time support, and provide seamless interactions across various industries. By integrating AI, robotics, and conversational technologies, Tranxform empowers businesses to optimize efficiency, scalability, and customer engagement.
Our Vision
To transform industries through advanced AI, robotics, and conversational technologies, driving global progress and innovation. We aim to provide real-time AI acceleration with ultra-low power designs, enabling efficient, scalable, and sustainable solutions across diverse applications.
Our Mission
To deliver best-in-class AI solutions, robotics, and talk bots that help our clients optimize processes, enhance customer experiences, and unlock new opportunities in an ever-evolving technological landscape.
Core Competencies
1.AI Acceleration
High-accuracy AI solutions designed for real-time performance with ultra-low power consumption.
Optimization techniques for efficient and scalable AI deployment.
2.Talk Bots Capability
AI-powered conversational agents offering seamless and intuitive interaction.
Natural language understanding for personalized support and customer engagement.
3.Computer Vision
Advanced image and video analysis for applications in healthcare, manufacturing, and beyond.
AI-driven visual recognition and interpretation for enhanced automation and insights.
4.Multi-Modalities Integration
Combining text, images, audio, and video for holistic and intelligent decision-making.
AI systems capable of processing and synthesizing data from multiple sources.
5.AI Agent and Reasoning Capability
Intelligent agents equipped with reasoning abilities for complex problem-solving.
Context-aware systems designed for adaptive and autonomous decision-making.
Why Choose Tranxform?
1.Proven expertise in AI, robotics, and conversational technology.
2.Commitment to innovation and cutting-edge solutions.
3.Tailored services to meet unique business requirements.
4.Strong partnerships and collaborations across industries.
Company History
Aug, 2023, Prototyped a Data Flow XPU simulation and launched a website tranxform.com
Dec, 2023, Engaged with a customer for the simulation and spec ( Delivered a few simulation models since Dec, 2023 to Aug, 2024 )
Feb, 2024, Registered a Tranxform AI company and completed the registration review of Bio-Science Industry Park in Taiwan ( Hiring started )
Mar, 2024, Moved into Bio-Science Industry Park
May, 2024, Working with customer for delivering SOC for ChatBots
Aug, 2024, A holding company was incorporated in the Cayman Islands
Sep, 2024, 20+ employee company ( Delivered first RTL version )
Dec, 2024, SDK delivered for ChatBots
Core Technologies
Target and Mission markets
In today’s rapidly changing technological environment, the application of Generative Artificial Intelligence (Generative AI) is becoming a key trend in the business and research fields. The rise of this technology brings infinite possibilities, covering natural language processing, image generation, and other creative tasks. Faced with this potential revolution, we have decided to create a next-generation technology company focused on Generative Artificial Intelligence – Tranxform.com ( 千逢科技股份有限公司 ).
The mission of Tranxform.com ( 千逢科技股份有限公司 ) is to drive technological advancement through innovative generative artificial intelligence technology, providing efficient, flexible, and competitive solutions for businesses and research institutions. Special emphasis is placed on applications in the fields of biomedical equipment and medical care instruments to promote progress in medical technology and elevate the level of life science research. Additionally, the advantages of the Neural Processing Unit (NPU) lie in significantly reducing power consumption, achieving more efficient energy utilization than GPUs, and conserving water resources, all in response to global environmental protection needs.
Background of Innovation
Historically, CPUs were employed for various computing tasks. Subsequently, the invention of SIMD machines facilitated the handling of parallel data computing, akin to GPUs. As AI and machine learning progressed, the need for higher-dimensional tensors emerged. This presents an opportune moment to devise a processor capable of higher-dimensional and advanced graph computing.
AI Inference and Future planning
AI inference is poised to have a much larger market than AI training. While training is essential for building models, real-time inference—where AI makes instant decisions or predictions—is crucial for practical applications. It enables AI to function as personal assistants, doctors, intelligent advisors, and more, offering immediate, context-aware solutions. With advancements in edge computing and cloud integration, real-time AI inference will drive growth across industries, making it far more important for everyday use than the training phase.
Low Power Design is a Key
Low power consumption will be crucial for real-time AI applications, enabling continuous, efficient operation on devices like smartphones, wearables, and IoT systems. As AI-powered assistants, healthcare tools, and intelligent advisors rely on real-time inference, minimizing energy use is essential for sustained performance without draining resources. Advances in edge computing and hardware optimization will play a key role in delivering powerful AI solutions with low energy demands, making them more accessible and practical for everyday tasks.
Reduce Complexity of Instructions
To reduce power consumption in real-time AI applications, we can optimize the process by using one instruction per layer in neural networks. This method simplifies execution by minimizing the complexity of instructions, reducing the energy wasted on tasks such as instruction fetching, control management, looping, and waiting times.
By issuing a single instruction per layer, the AI model can process data more efficiently, eliminating the need for constant re-fetching of instructions for each small operation. This streamlined approach cuts down on overhead, allowing the system to focus on actual computation rather than control mechanisms, ultimately lowering power consumption and improving performance in real-time scenarios.
News & Events
2025-01-13
Edge AI with Intelligent Talk Bot
Source : https://youtu.be/zfKDmbCrrKg
2023-10-14
Tranxform AI : The Future of AI Processing
Source: https://www.youtube.com/watch?v=2w1r2sqf1j8