소개
Hangzhou Deep Principle Technology Co., Ltd. (杭州深度原理科技有限责任公司), which operates under the brand Deep Principle, is a Hangzhou-based AI for Materials company that develops artificial-intelligence-driven tools for chemical and materials research. The company positions itself at the intersection of generative AI, first-principles computation, quantum chemistry, and high-throughput experimentation, with the stated goal of accelerating materials discovery and shifting research workflows from trial-and-error methods toward an integrated, data-driven development model.
Founded in 2024, Deep Principle has rapidly built a profile in the AI-for-science segment through enterprise-focused research and development services, proprietary software, and a combined software-hardware workflow for materials innovation. Its public materials describe the company as serving clients in new materials, daily chemicals, energy, healthcare, and fine chemicals, and as building a platform that can automate parts of molecular design, reaction prediction, property screening, and experimental validation.
History and Development
Deep Principle was established on 21 February 2024, with its principal operations centered in Hangzhou’s Binjiang district. Public records and recruitment materials identify Jia Haojun as founder and chief executive officer, with Duan Chenru as co-founder and chief technology officer.
The company’s early development has been marked by a rapid move from concept to platform commercialization. In public descriptions, Deep Principle first built the ReactiveAI platform and later upgraded it into an agentic system called Agent Mira, which is presented as a material-discovery intelligent agent capable of orchestrating end-to-end research tasks. The company also states that it has developed an integrated high-throughput laboratory to complement its computational tools, enabling feedback loops between calculation and experiment.
A second major milestone has been its ability to attract external capital from prominent technology and investment backers. Media reports indicate that the company completed a large A-round financing in 2025 and a further A3 round in 2026, with investors including technology-focused and strategic funds. Public profiles also note an accumulated financing scale approaching RMB 1 billion, although the exact total varies by report and financing stage.
Business Operations and Segments
Deep Principle’s business is organized around three closely related areas:
- AI software platforms for chemical and materials discovery
- Automated or high-throughput experimental hardware and laboratory capability
- Customized R&D pipeline services for enterprise clients
The company describes itself as a full-stack AI for Science infrastructure provider, combining model development, computational screening, and experimental verification in one workflow. Its core commercial proposition is to reduce the time and cost of discovering candidate molecules, formulations, catalysts, and material systems for industrial clients.
Rather than operating as a conventional plastics processor or polymer producer, Deep Principle sits upstream in the innovation chain as a materials-discovery technology provider. That places it within a broader industrial ecosystem that supports sectors such as specialty chemicals, polymer materials, energy materials, and formulation chemistry.
Products and Technologies
Deep Principle’s technology stack is centered on an integrated platform that combines machine learning with physics-based computation and experimental automation. Public descriptions name several proprietary components:
- ReactGen, a molecular generation module
- Reactify, a precision computation module
- ReactControl, a control-model module
- ReactBO, a broad-area or broad screening module
- ReactNet, a synthesis-navigation module
- ReactHTE, a high-throughput experimentation module
The company’s upgraded system, Agent Mira, is described as an agentic AI scientist that can use natural-language instructions to coordinate molecular design, reaction prediction, materials optimization, and related research tasks. In public filings and recruitment language, the platform is also associated with generative AI, first-principles calculations, and autonomous task execution in chemistry and materials discovery.
Technical capabilities described by the company and related profiles include:
- Molecular generation and candidate proposal
- Property prediction and screening
- Reaction-path and synthesis-route analysis
- Closed-loop learning from experimental results
- Private-deployment software packages for enterprise users
The company has also referred to an “AI Materials Factory” or similar automated-laboratory concept, indicating that its longer-term roadmap includes tighter integration between software models and robotic or semi-automated laboratory operations.
Applications and End Markets
Deep Principle’s stated end markets are concentrated in industries where chemical formulation and materials performance are central to product development. Public descriptions reference activity in:
- New materials
- Energy and新能源 applications
- Daily chemicals and consumer formulation
- Healthcare and biomedical-related R&D
- Fine chemicals and catalytic materials
Within the broader plastics and materials ecosystem, this positioning is relevant because polymer additives, resins, catalysts, specialty formulations, and performance materials often require the same type of computational and experimental workflow that Deep Principle provides. The company’s services may therefore be applicable to polymer material design, additive selection, functional formulations, and other upstream development tasks, although the company’s public disclosures do not provide a detailed plastics-only product line.
Global Presence and Market Position
Deep Principle presents itself as a company with global ambitions and international technical positioning, and its public materials describe it as a “global” or “world” materials-AI company. Its branding, English-language platform materials, and hiring statements indicate a deliberate effort to serve enterprise clients beyond the domestic market.
The company is headquartered in Hangzhou, Zhejiang, and public contact pages list its Hangzhou office in Binjiang district. Some third-party profiles also refer to Shenzhen or broader China-based operations, but the most consistent company materials place the main base in Hangzhou.
Its market position is best understood as that of an early-stage but well-capitalized specialist in AI-enabled materials discovery rather than a mass-market manufacturer. Public reporting suggests it has attracted interest from major venture and strategic investors, which has helped it gain visibility in China’s AI-for-science sector.
Sustainability and Environmental Initiatives
Deep Principle’s public narrative is closely tied to sustainability because materials discovery platforms are often used to reduce waste, shorten development cycles, and improve the efficiency of laboratory work. The company’s emphasis on closed-loop experimentation and model-driven candidate selection implies a potential reduction in repetitive physical testing, which can lower resource consumption in R&D settings.
That said, the company’s available public disclosures do not provide detailed sustainability metrics, emissions data, or formal environmental targets. Its sustainability contribution is therefore best described as indirect and enabling, through the design of tools that may help customers develop more efficient chemicals and materials.
Financial Performance and Economic Impact
Deep Principle is a privately held company, and detailed financial statements are not publicly available. Available reporting indicates that it has raised substantial venture funding in multiple rounds since founding, with reports citing both a large A round and an A3 round in 2025–2026.
Its economic impact is primarily visible in three areas:
- Investment attraction from venture, corporate, and technology funds
- High-skill employment in computational chemistry, AI, and materials science
- Industrial R&D enablement for customers seeking to shorten innovation cycles
Because the company operates in an enabling technology layer, its economic significance lies less in direct manufacturing output and more in the productivity gains it may deliver to downstream chemical, materials, and manufacturing firms.
Leadership and Corporate Governance
Publicly available information identifies Jia Haojun as founder and chief executive officer, and Duan Chenru as co-founder and chief technology officer. Company and recruitment materials also point to a leadership team with international research backgrounds and experience in computational chemistry, AI, and industrial R&D.
Reported shareholding and governance information suggest a founder-led structure with participation from venture investors and strategic backers. As is common for venture-backed private technology companies, detailed board composition and governance disclosures are limited in the public domain.
Innovations and Future Outlook
Deep Principle’s innovation strategy centers on expanding from a software platform into a more complete AI-native materials discovery system. The company’s future direction appears to include:
- Further development of Agent Mira as an autonomous research agent
- Broader enterprise deployment of private, customizable AI R&D systems
- Expansion of high-throughput experimental capabilities to support closed-loop discovery
- Deeper application coverage in energy materials, specialty chemicals, and formulation science
Its long-term competitive position will depend on whether it can demonstrate repeatable industrial results, integrate its computational and laboratory systems reliably, and maintain access to both technical talent and capital. In the fast-evolving AI-for-science segment, credibility is likely to hinge on validated customer outcomes rather than branding alone.
Summary
Deep Principle is a Hangzhou-based AI for Materials company that combines generative AI, first-principles computation, and high-throughput experimentation to accelerate chemical and materials innovation. Although it is not a plastics manufacturer, its platform is relevant to the wider materials ecosystem, including polymers, specialty formulations, and industrial chemistry, where faster and more efficient R&D workflows are increasingly important.
참고 문헌
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CPS+ eMarketplace. (n.d.). HANGZHOU DEEP PRINCIPLE TECHNOLOGY CO., LTDHANGZHOU DEEP PRINCIPLE TECHNOLOGY CO., LTD. CPS+ eMarketplace. https://www.chinaplasonline.com/eMarketplace/ExhibitorInfo?CompId=1029554Link