Product Descriptions
Singularity is a software platform developed in collaboration with customers, seamlessly integrated into industrial value chains to effectively address challenges in production environments. It provides flexible and user-friendly experiences through high-level and low-level APIs, and precisely handles complex AI and optimization problems using quantum and quantum-inspired computing with proprietary algorithms.
Unleashing Singularity's Potential
Powerful: Production-Ready
Enjoy user-friendly custom interfaces and flexible deployment options, from on-premises to customer VPC integration.
Deployable: Powerful Core Technology
Leverage specialized algorithms for interpretable machine learning, deep learning, and optimization. This includes quantum-based proprietary routines that outperform commercial models.
Intuitive: Customer-Centric
Experience proven effectiveness across various real-world use cases and explore sections like "Users", "AI", and "Green Impact" in depth to gain additional insights.
Faster, Cheaper, and More Efficient AI
The deep learning landscape is undergoing major changes due to soaring computational costs. Recent training costs for large language models (LLMs) have reached $100 million, and these costs are doubling every 10 months. There is a forecast that a technological paradigm shift is essential to properly train AI models under conditions of sufficient training data.
Singularity revolutionizes this scenario by leveraging tensor networks. Our tensorized models demonstrate accelerated learning, reduced data requirements, and decreased power consumption. Achieving over 1000x acceleration, we revolutionize high-power applications such as machine vision and large language models. This makes tensorized AI essential in edge technology, playing a crucial role in autonomous vehicles. Notably, Multiverse Computing was recognized as one of the 100 most promising AI companies in the world in 2023 by CB Insights.
Explainable Machine Learning
A pervasive problem in the AI landscape is the opacity of many machine learning (ML) models. Often, these models operate as mysterious black boxes with little industrial relevance. Singularity provides clarity by answering important questions:
- What is the confidence level in our predictions?
- What evidence supports a particular decision?
- How do changes in circumstances affect predictions?
- What is the confidence level in our predictions?
- What evidence supports a particular decision?
- How do changes in circumstances affect predictions?
The importance of these answers cannot be underestimated, especially in mission-critical applications where transparency is essential. Singularity enables industries to trust and leverage AI by ensuring explainable machine learning.
Faster and More Accurate Optimization
Optimization problems form the core of various sectors, but solving them is often difficult. These challenges cause inefficiencies across industrial and financial operations. Particularly in the green energy sector, more precise and rapid optimization solutions for power distribution are key to the transition.
Singularity takes an innovative approach by leveraging hidden data structures to converge faster than existing algorithms. This disruptive potential has broad impact, especially in time-sensitive optimization problems involving many variables.
Singularity by Multiverse Computing Solutions
Finance
Deep Pricing
Provides parametric tools to obtain fair value, sensitivity, and other metrics for exotic derivative contracts by leveraging deep learning models trained with quantum-inspired and other cutting-edge methods.
Life Science
Molecular Simulation
Uses tensor network algorithms to find the ground state energy of a given molecule or the quantum Hamiltonian of various physical systems such as spin, boson, and fermion systems.
Finance
Fair Pricing
Evaluates fair price estimates for asset portfolios given market information and trends using ultra-fast quantum-inspired methods.
Life Science
Athlete Injury Prediction
Coming soon! Determines the short-term injury probability of athletes based on factors such as training volume, game time, and rest using quantum machine learning.
Finance
Index Tracking
Determines optimal portfolio allocation to track the performance of financial indices while limiting the number of assets under management.
Life Science
Protein Design
Obtains 3D protein structures for given amino acid sequences.
Finance
Portfolio Optimization
Uses this Python and Excel package to obtain optimal portfolio allocation that maximizes returns and minimizes risk while adhering to investor's customized preferences and user-definable constraints.
Finance
Trading
Trains a quantum machine learning model on historical FX trends and then applies this model in real-time to obtain real-time intraday trading signals.