Home AI Takes Full Control of the Lab? DP Technology Launches Bohr Leap Lab

AI Takes Full Control of the Lab? DP Technology Launches Bohr Leap Lab

Apr 17, 2026 18:18 CST Updated 18:18
DP Technology

Simulation R&D Platform Developer





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Bohr Transition Lab,

Breakthrough Traditional Laboratories

Core Bottleneck of Intelligent Transformation

In the era of Agentic Science at Scale, the core bottleneck in the rapid transformation of traditional laboratories into dry-wet closed-loop smart laboratories lies in multiple factors such as equipment fragmentation, reliance on experience, scattered data, inefficient deployment, and the immense difficulty of software-hardware integration debugging, along with the lack of post-intelligent planning. To address this issue, DP Technology has officially launched a solution aimed at fully integrating the entire chain of dry-wet closed-loop smart laboratories.Bohr Transition Lab

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BohrTransition Lab Link:

https://leap-lab.bohrium.com/

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Bohr Transition Lab

Core Function

2.1 Experimental Agent: Unified Entry for Instrument Connection, Control, and Daily Experimental Operations

"Laboratory Pain Points":Equipment operation, monitoring, and data recording must be performed directly at the lab bench. Attempting to access the system remotely via a computer faces challenges such as heterogeneous interfaces from multiple instrument manufacturers, independent software systems, and extremely high joint debugging costs.

Bohr·DP Technology Achieves Breakthrough in Addressing Key Pain Points:

  • Device Access AgentOnce you have the document, you can immediately use it to expand, execute remote experiments, and monitor status;

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More than 1800 instrument models connected, covering common laboratory scenarios;

  • Experimental Operation AgentNatural Language Management Reagent Materials, Query Equipment / Task status, execute control or initiate template experiments, acquire and analyze data, single-entry coverage of the entire laboratory process

    • Manage Reagent Materials

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    •  Launch Template Experiment / Check Task Status and Results

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  • Status Monitoring:Real-time aggregation of device operation, sensor data, and anomaly alerts, providing a unified view of device health.

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Core Value Brought:Integrate closed instruments for unified resource scheduling, eliminate interoperability barriers, and solidify dry-wet closed-loop.Connection LayerFoundation.

2.2 Intelligent Experiment Record + Visualized Process Orchestration: Breaking Free from Experience Dependence

"Laboratory Pain Points":The experimental process relies on personal experience, making reproducibility and cross-team migration highly challenging.

Bohr·DP Technology Achieves Breakthrough in Addressing Key Pain Points:

  • Intelligent Experiment Record:Batch configuration parameters, standardized semantic collection, automatic association of experimental context, and avoidance of input errors

  • Visualized Process Orchestration:Zero-code drag-and-drop design of experimental pathways, intelligent scheduling ensures execution consistency, and process templates can be shared and reused across teams.

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Core Value Brought:Transform personal experience into organizational-level standard process assets, ensure experiment reproducibility, and solidify the dry-wet closed loop.Tissue Layer

2.3 AI-Ready Data Sedimentation + Overview of Dry-Wet Closed-Loop Project: Solving Data Dispersion

"Laboratory Pain Points":The experimental data is scattered and in inconsistent formats, making it impossible to use directly for modeling calculations.

Bohr·DP Technology Achieves Breakthrough in Addressing Key Pain Points:

  • AI-ReadyData Output:AI-Ready Data: Native structured record parameters and results, ready for modeling without secondary cleaning, with full-chain data traceability;

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  • Overview of Dry and Wet Closed-loop Projects:Aggregate computational and experimental progress, combined with Bohr Scientific computing power, to generate the next round of experimental parameter suggestions at the click of a button, leading to visibly accelerated scientific discoveries.

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Core Value Brought:Upgrade data from storable to computable, transforming it into digital assets that drive model iteration, accelerating the dry-wet closed-loop iteration, and becoming the closed loop.Acceleration Layer

  • Full Lifecycle Material ManagementCovering the warehousing and circulation of reagents and consumables, with real-time traceability and expiration alerts. / Storage Violation;

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2.4 Cloud CAD: Shorten"Long deployment cycle"

Laboratory Pain Points:The implementation of laboratory construction plans is slow, and renovations are difficult.

Bohr·DP Technology Achieves Breakthrough in Solving Key Pain Points:

  • Cloud CAD2D/3D Simulation Planning Laboratory, Pre-validation Construction Plan

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Core ValueShorten the full-link laboratory landing cycle, lower the transformation threshold, and become a large-scale construction.Collaborative Layer

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Compared with traditional ELN/LIMS

The essential difference

The construction of laboratory digitalization and informatization is often accompanied by the implementation of ELN/LIMS systems. However, the core of ELN is to record experiments, and the core of LIMS is to manage samples. Neither can meet the requirements of a dry-wet closed-loop intelligent laboratory, and after integration, there are issues of data and process fragmentation.
Bohr Transition Lab is not a simple叠加 of the two functions, but rather revolves aroundCompute - Experiment - Data - ComputeThe underlying reconstruction of a seamless closed-loop differs from traditional ELN/LIMS as follows:
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With Uni-Lab-OS

The Relationship

The equipment connection and control capabilities of Bohr Transition Laboratory are built on the open-source project led by DP Technology.Uni-Lab-OSAbove. Uni-Lab-OS continuously expands instrument compatibility through community collaboration, lowering the threshold for device integration. Bohrium Leap Lab builds on this foundation to provide complete product capabilities such as experiment recording, workflow orchestration, permission control, data accumulation, and computational closed-loop, offering an out-of-the-box solution for laboratory deployment.
The relationship between the two can be summarized as follows:
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Welcome to scan the QR code to join the communication group:
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About DP Technology

DP Technology is a global pioneer and leader in AI for Science. Founded in 2018, the company has offices and research centers in Beijing, Shanghai, Shenzhen, and Yibin. With the mission of "accelerating scientific discovery and unlocking scientific value," DP Technology is committed to creating AI Scientists and intelligent systems capable of conducting scientific discovery autonomously.
Based on the Deep Potential·Universe® Scientific Discovery Intelligent Engine, DP Technology has built a series of intelligent scientific tools for "reading literature, performing calculations, and conducting experiments," as well as scientific AI agents in various fields, forming the Science as a Service intelligent research product and service matrix: Bohr·Scientific Navigation, Bohr·Lebesgue Intelligent Computing, and Hermite.®、Piloteye®... and a series of R&D software, Bohr Transition Lab, SciMaster Scientific Intelligence Agent, as well as "large-scale facilities" and R&D services for scientific discovery, providing scientists and R&D organizations in fields such as fundamental research, life sciences, and material sciences with flexible and versatile solutions that balance depth and breadth.
As a national high-tech enterprise and a national "little giant" enterprise specializing in niche markets, DP Technology's research and development team is led by an academician of the Chinese Academy of Sciences. It brings together over a hundred outstanding young scientists and engineers from various fields such as mathematics, physics, chemistry, biology, materials, and computer science. Among its members, more than 35% are PhDs or postdoctoral researchers. In 2020, core members of DP Technology were awarded the "Gordon Bell Prize," the highest honor in the global high-performance computing field. Their related work was selected as one of China’s top ten scientific advances in 2020 and one of the ten major technological breakthroughs in the global AI field.
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