Information Communications Technology

AUTOML PLUS LIMITED

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52 Potential

Decision Maker

Mrs. LONG HENG LIM
rebecca.lim@automlcapital.com
+852 93178657
Incubation Centre, 1/F, InnoCentre 72 Tat Chee Avenue Kowloon Tong, Kowloon
Raw Description
Product | AutoML Plus is a FinTech data analytics company that is currently developing a computerized self-learning system known as “ML Brain”, which is capable of automatically generating AI models and making predictions. ML Brain can self-evolve according to the changing external environment. | The use cases of ML Brain can be seen in organizations across different industries, including but not limited to sectors spanning from asset management, banking, retail, industrial, automation, and logistics. We applied “ML Brain” in our first use case of WealthTech to empower every investor to make investment decisions based on the ESG causes they most care about, at the same time optimising the performance of the portfolio. We have observed that many existing robo-advisors put the AI’s focus on risk assessment, chatbox etc instead of using the AI capability to enhance the actual portfolio results and minimize losses due to the volatile market. Meanwhile, ESG investments are strongly focused in stock selection rather than considering a holistic portfolio of the related cause. ML Brain is programmed to automatically learn to locate, absorb, screen and analyse Big Data and generate investment advice, just like a seasoned ESG investment advisor. || AutoML Plus is a data analytics company in WealthTech, established with the primary purpose of making AI easily accessible to everyone by accelerating data-mining and developing a computerized self-learning system known as “ML Brain”. AI is a crucial basic element of tomorrow, just like electricity is to us today. AutoML’s pipeline has been established to simplify the work of data scientists, and effectively lowers the technical demands for engineers, data scientists and even people without formal technical training to build machine learning models by using our standard machine learning modules to do asset class prediction, dynamic asset allocation and portfolio construction. The aim is to empower those who may perceive themselves as less capable in technical related disciplines to be equipped with the same level of advanced machine learning tools. | Description | AutoML Plus provides investors with the most competitive AI technology “ML Brain” to protect and grow their assets.

Strategic Analysis

Executive Brief

AutoML Plus is a FinTech and WealthTech firm specializing in automated machine learning (AutoML) through their "ML Brain" architecture. Their platform focuses on high-velocity Big Data processing, ESG-centric portfolio optimization, and predictive analytics for volatile markets. While primarily a software-driven entity, their core operational bottleneck lies in the computational intensity and energy footprint of training large-scale AI models.

Strategic Fit & Lead Score

Lead Score: 52 (40-59: General Research / Engineering / Infrastructure)

Why this Score? AutoML Plus is a software-centric company; however, they are "adjacent tech" because their "ML Brain" requires massive GPU/TPU clusters to process Big Data and self-evolve. Diamond technology provides the thermal and quantum infrastructure required to scale their AI models beyond the physical limits of silicon-based data centers. Specifically, their commitment to ESG creates a unique opening for 6C’s energy-efficient thermal solutions.

6C Solutions Proposal

Application Area 6C Solution Technical Value Prop
High-Density AI Computing PCD Heat Spreaders Diamond has a thermal conductivity > 2000 W/mK. By integrating 6C Diamond into their server GPUs, AutoML can reduce junction temperatures by 30% or more, preventing thermal throttling during "ML Brain" training.
ESG & Energy Efficiency Diamond Thermal Mgmt Data centers dedicated to AI consume massive power for cooling. 6C solutions allow for higher power density with less active cooling, directly improving the "E" (Environmental) score of AutoML’s own operations.
Next-Gen ML (Quantum) SCD (NV-Center) Substrates As AutoML moves toward Quantum Machine Learning (QML), 6C’s single-crystal diamond with nitrogen-vacuum centers provides the necessary hardware for quantum sensing and processing nodes.
Ultra-Low Latency Comms Diamond Optical Windows For high-frequency trading (HFT) and real-time WealthTech signals, diamond-based optical components enable faster, more reliable laser communication links with zero thermal distortion.

Engagement Hooks

  • Technical Question: "As your 'ML Brain' evolves to process increasingly complex Big Data sets, how are you addressing the hardware thermal limits and energy costs associated with the 'ESG Paradox'—where AI training energy consumption conflicts with your ESG investment mandates?"
  • Value Statement: "6C enables AutoML Plus to scale its AI intelligence by providing the diamond-based thermal infrastructure needed to run 'ML Brain' at higher clock speeds with significantly lower energy overhead, ensuring your hardware is as efficient as your algorithms."