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What is Neuri?

We are engaged in cutting-edge research focused on artificial intelligence to gain significant advantages in the realm of financial investments, utilizing innovative neuro-prediction techniques to illuminate market dynamics. Our methodology incorporates sophisticated deep reinforcement learning algorithms and graph-based learning methodologies, along with artificial neural networks, to adeptly model and predict time series data. At Neuri, we prioritize the creation of synthetic datasets that authentically represent global financial markets, which we then analyze through complex simulations of trading behaviors. We hold a positive outlook on the potential of quantum optimization to elevate our simulations beyond what classical supercomputing can achieve, further enhancing our research capabilities. Recognizing the ever-changing nature of financial markets, we design AI algorithms that are capable of real-time adaptation and learning, enabling us to uncover intricate relationships between numerous financial assets, classes, and markets. The convergence of neuroscience-inspired models, quantum algorithms, and machine learning in systematic trading is still largely unexplored, presenting an exciting frontier for future research and innovation. By challenging the limits of existing methodologies, we aspire to transform the formulation and execution of trading strategies in this dynamic environment, paving the way for unprecedented advancements in the field. As we continue to explore these avenues, we remain committed to advancing the intersection of technology and finance.

What is Classiq?

Classiq serves as a cutting-edge platform for quantum computing software, facilitating the design, refinement, evaluation, and execution of quantum algorithms. It adeptly transforms high-level functional models into optimized quantum circuits, allowing users to quickly construct circuits with a variety of qubit counts, including 100, 1,000, or even 10,000, which can seamlessly operate on any gate-based architecture or cloud service. The platform offers a holistic environment for developing quantum applications, nurturing in-house knowledge and enabling the creation of reusable quantum intellectual property. By automating the complex process of converting high-level functional models into optimized quantum circuits, Classiq's Quantum Algorithm Design platform simplifies the design and coding process at a more abstract level. This empowers users to focus on the conceptual elements of their algorithms, as the system takes care of the technical execution, delivering circuits that meet both functional requirements and system constraints. This pioneering methodology not only boosts productivity but also encourages more innovative approaches in quantum algorithm development, leading to breakthroughs that could redefine the field. As a result, Classiq plays a crucial role in advancing quantum computing capabilities for various applications.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Neuri

Date Founded

2018

Company Location

Singapore

Company Website

www.neuri.ai/

Company Facts

Organization Name

Classiq

Date Founded

2020

Company Location

Global

Company Website

www.classiq.io

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

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