HONG KONG, June 5, 2026 — DL Holdings has launched ARTi, an artificial intelligence investment research platform, after closing a USD 1.5 million Pre-Series A funding round fully subscribed by C Capital, valuing the business at USD 30 million before the deal. C Capital acquired 4.76% of ARTi’s Class B equity, equal to 500 non-voting, non-management shares.
Ai platform targets institutional-grade analysis
Developed in-house, ARTi is designed to replicate institutional-grade research through a traceable, data-driven system. The platform is built around a framework of “judgment, recording, verification, and capability accumulation,” using autonomous AI agents to provide advisory and decision-support functions.
DL began building its AI capabilities in 2023 with tools such as AI digital humans, smart advisors, and robots. Those efforts led to a proprietary multi-agent architecture that seeks to reduce analytical “hallucinations” by cross-checking outputs against high-quality financial data from proprietary and verified global sources.
‘3×8’ decision model and three-layer analysis
At the core of ARTi is what DL calls its “3×8” framework, combining eight AI analysts, eight investment masters, and an eight-layer data architecture. The structure is meant to simulate a disciplined decision-making process in which each recommendation is accompanied by logged assumptions, verifiable reasoning, and timestamped context. This record is then used to monitor accuracy over time as market conditions change.
ARTi runs three main analytical layers that review macroeconomic, fundamental, and technical information. These layers interact in a “roundtable debate” among AI agents. Once this internal debate is completed, the output is put through validation checks and stored in a continuous verification database that measures how recommendations perform against real market data.
Market coverage and expansion plans
The platform currently covers equity markets in mainland China, Hong Kong SAR, and the United States. DL plans to extend coverage to Japan and other Asia-Pacific markets, and to add fixed-income instruments and exchange-traded products.
Beyond research, DL aims to expand ARTi into a full execution engine that can link directly to trading accounts to place orders automatically, turning the platform from an analysis tool into an end-to-end trading assistant.
Access via messaging apps and apis
To broaden access, DL is developing multiple entry points to ARTi, including integration with Telegram and WhatsApp for individual users, and API connections for institutional clients. Within the group’s own structure, ARTi supports three main segments: family office, professional, and retail.
The family office unit plans to use an “AI investment committee” built on ARTi to support high-net-worth clients with more than USD 30 million in assets. Professional clients in Hong Kong served through DL Securities are expected to gain direct access to ARTi as an AI research service.
For retail and emerging traders, DL’s products NeuralFin and MiCang — which together are approaching one million users — will embed ARTi capabilities in upcoming releases. Over the longer term, DL says ARTi is intended to become infrastructure for what it calls the “investment judgment layer,” with the aim of opening parts of the system on an open-source basis once its ecosystem is more mature.
ARTi is headquartered in Tokyo, with research centers in Tokyo and Silicon Valley and offices in Hong Kong SAR and Singapore.
Ai reshapes competition in financial markets
The rollout of platforms like ARTi underscores how advanced analytics are moving beyond large institutions and into the broader market, reshaping competition in fast-moving and volatile environments.
A recent survey suggests that 62% of retail market participants already use AI to support their decisions, with 65% of those users saying it has improved their trading performance. One AI model can reportedly complete a full company analysis in under 30 seconds, a task that could take a human analyst several days.
The trend aligns with a wider shift toward automation. The global algorithmic trading market is projected to grow from USD 25 billion in 2026 to more than USD 44 billion by 2030. In some equity markets, algorithmic strategies already account for as much as 70% of trading activity, operating without the emotional bias that can affect human judgment.
A 2024 study by the University of Chicago found that some AI models could predict corporate earnings with about 60% accuracy, compared with a 53% to 57% accuracy range for human financial analysts. This gap highlights how traders increasingly face counterparts that can process information and execute orders with “mechanical” discipline and speed.
From analysis to automated execution
Planned integration with messaging apps such as Telegram and WhatsApp signals that sophisticated analytics are being designed for everyday use, moving capabilities once confined to institutional terminals onto personal devices.
At the same time, ARTi’s future ability to connect directly to trading accounts would shift it from a research assistant to an automated decision-maker, enabling strategies to be executed instantly on the basis of AI-generated outputs.
As ARTi expands across asset classes and regions, DL expects the model to be applied wherever there is sufficient data, from traditional equities to markets known for volatility and fragmented information. For traders, the rise of these systems may mark a new phase in which speed, data quality, and algorithm design become central to maintaining an edge in global markets.
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