DeepVerse

Transforming
Materials Innovation

DeepVerse is at the forefront of revolutionizing
materials discovery and optimization by integrating
Aritificial Intelligence, Advanced Computational Methods, and Lab Automation.

bubble
bubble
bubble
bubble
bubble
bubble
bubble
iconicon
WHO WE ARE?

Combining data-driven insights with theory-guided approaches,

Combining data-driven insights with theory-guided approaches,
DeepVerse accelerates materials R&D with unparalleled efficiency and scalability.

DeepVerse accelerates materials R&D with unparalleled efficiency and scalability.

From battery materials and sustainable chemistry to high-performance alloys,

From battery materials and sustainable chemistry to high-performance alloys,

our platform has delivered proven success across diverse industries.

our platform has delivered proven success across diverse industries.

Join us as we drive materials research into the next frontier.

Join us as we drive materials research into the next frontier.
Our product - matcopilot
Chatbot

Leverage large language models to facilitate interactive exploration of literature. Extract key insights from uploaded documents and format them into actionable, structured information.

Database

Support multi-format experimental data inputs, enabling seamless data recording and management. Material knowledge base can be integrated with supplier information for quick retrieval and optimized decision-making, empowering data-driven R&D processes.

Dynamic Design

Utilizes adaptive algorithms to navigate high-dimensional spaces, recommending optimal experimental pathways. Dynamic Design continuously iterates based on real-time experimental outcomes, enhancing efficiency and improving prediction accuracy.

AI Analyst

Blends data-driven and theory-guided approaches to enable prediction and inverse design. The intelligent analyst transforms raw data into actionable insights by integrating active learning and physical model constraints through real-time feedback to continuously optimize R&D processes.

Our Unique Advantages

Accelerate R&D cycles and optimize experimental efficiency through intelligent innovation.

Facilitate digital transformation for enterprises, driving resource optimization and operational excellence.

Ride the Wave with Us
DISCOVER OUR SERVICES

We provide customized solutions for global clients across various industries.

Fiber Materials

Proprietary color classification models standardize high-noise historical data for polymer colorants. Combining precise boundary delineation with deep learning generalization, this approach predicts color differences and recommends CIE Lab-compliant pigment formulations, ensuring industry-standard color precision.

High-Performance Adhesives

Inverse design epoxy adhesive formulations using machine learning and proprietary N Choose K algorithms. This approach identifies critical parameters and predicts optimal combinations, rapidly meeting multiple target performance requirements with precision.

New Energy Electrolytes

Employ multi-objective optimization strategies (e.g., NSGA-II) to accelerate electrolyte formulation optimization. Advanced transfer learning enables knowledge transfer between battery systems, achieving breakthroughs even with sparse experimental data.

Cosmetics Products

By employing adaptive iterative design models, we optimize natural ingredient combinations to outperform petroleum-based formulations. This revolutionary approach navigates complex parameter interactions in cosmetics R&D, enabling sustainable, high-performing solutions within accelerated timelines.

Automotive Components

Proprietary parameter standardization technology links real-world manufacturing data with simulations based on orthogonal design. Leveraging CNN-BiLSTM models and temporal attention mechanisms, it predicts the impact of parameter shifts on final performance in wheel-hub manufacturing processes.

Alloy Development

For high-performance aluminum alloys, proprietary sparse data methods and thermodynamic simulations integrate physical properties and physics-inspired neural network architectures to predict microstructural interactions. The result: breakthroughs in strength and ductility optimization.

ACHIEVEMENTS
We have partnered with multi Fortune Global 500 enterprises across diverse materials sectors, delivering successful projects and building lasting collaborations.