Multiverse Computing
Revolutionize AI and optimization with quantum-inspired algorithms.. [Contact for Pricing]
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What is Multiverse Computing?
Multiverse Computing is a quantum AI software company that provides two flagship products: Singularity, a quantum-inspired optimization platform, and CompactifAI, an AI model compressor. Singularity combines quantum and quantum-inspired computing algorithms to solve complex AI and optimization challenges across industries like finance, energy, manufacturing, defense, and aerospace. It features interpretable machine learning, deep learning, and optimization capabilities with proprietary algorithms that outperform commercial models.
CompactifAI is an AI model compression technology that uses advanced tensor networks to compress large language models (LLMs) and other AI models by over 90%, reducing memory and disk space requirements while maintaining close to 100% accuracy. This makes AI systems faster, cheaper, and more energy-efficient, enabling deployment on edge devices, on-premises systems, and in cloud environments without GPU shortages.
The platform serves digital natives seeking to scale without limits, corporations wanting to extend their infrastructure, data centers aiming to maximize capacity, and device manufacturers needing powerful AI on any device. It offers API inference for rapid development and private deployment for maximum security and compliance.
Key target industries include finance, energy, manufacturing, health & life sciences, engineering, aerospace, cybersecurity, defense, chemistry, and hydrogen. The company is the biggest quantum software provider in Europe, founded in 2019, with offices in Spain, Canada, France, Germany, UK, Italy, and USA.
Multiverse Computing pricing
Pricing model: Freemium
Pricing is not publicly disclosed on the website. The company offers enterprise-focused solutions with custom pricing. Two main deployment options are available: API Inference as a managed service leveraging AWS scalability without managing infrastructure, and Private Deployment for running compressed models in your own cloud, on-premise, or at the edge. Contact sales at [email protected] for pricing quotes. The company serves enterprise and government organizations with value-based quantum and quantum-inspired AI software solutions.
Multiverse Computing pros
- Reduces LLM size by over 90% with only 2-3% accuracy drop
- 50-80% lower inference costs
- Up to 2x faster inference speed
- Close to 100% accuracy retention after compression
- Over 1000x acceleration with Tensor Networks
- Hardware-agnostic quantum algorithm approach
- Deploy on cloud, on-premises, or edge devices
- Interpretable ML explains predictions and decisions
- Maximum privacy with localized AI models
- Reduced energy consumption for sustainability
- No GPU shortages with compact models
- Flexible deployment via API or private deployment
- Production-ready with tailored interfaces
- Outperforms commercial optimization models
- Works without cloud connectivity for factories and satellites
- Reduced CAPEX and hardware expenses
- Supports sovereign AI infrastructure
- Smaller, specialized AI models for local deployment
Multiverse Computing cons
- No public free tier available
- Pricing not publicly disclosed
- Requires contact for enterprise quotes
- Best suited for enterprise rather than individual developers
- Complex quantum algorithms may require specialized knowledge
- Limited to specific industry use cases
- 2-3% accuracy drop after compression
- Coming soon features not yet available
- May require existing infrastructure for private deployment
Frequently asked questions about Multiverse Computing
What is CompactifAI?
CompactifAI is an AI model compressor that uses advanced tensor networks to compress foundational AI models including large language models (LLMs). It reduces model size by over 90%, lowering memory and disk space requirements while maintaining close to 100% accuracy, making AI projects more affordable and enabling deployment on any device.
What is Singularity?
Singularity is Multiverse Computing's purpose-built software platform that combines quantum and quantum-inspired computing to address complex AI and optimization challenges. It features interpretable machine learning, deep learning, and optimization algorithms with high and low-level APIs for flexible deployment from on-premises to customer VPC integration.
How much does CompactifAI compress AI models?
CompactifAI compresses AI models by over 90%, significantly reducing size while maintaining close to 100% accuracy with only a 2-3% drop. This drastically reduces memory and disk space requirements and cuts retraining and inference costs by over 50%.
What industries does Multiverse Computing serve?
Multiverse Computing serves 10+ industries including finance, energy, manufacturing, health & life sciences, engineering, aerospace, cybersecurity, defense, chemistry, hydrogen, digital natives, corporations, data centers, and device manufacturers.
What deployment options are available?
Two main deployment options are available: API Inference for rapid development with simple API calls leveraging AWS scalability, and Private Deployment for running compressed models in your own cloud, on-premise, or at the edge for maximum security, compliance, and performance.
What is Tensor Networks technology?
Tensor Networks are quantum-inspired methods employed on non-quantum computers like FPGAs, laptops, and supercomputers. They are the world's fastest classical algorithms, achieving over 1000-fold speedup in AI and optimization tasks, and excel in scenarios without cloud connectivity such as factories, satellites, and defense battlefields.
Is Multiverse Computing hardware-agnostic?
Yes, Multiverse Computing remains hardware-agnostic, recognizing the diversity of quantum hardware platforms including superconducting, photonic, neutral atoms, and ion traps. Major quantum hardware manufacturers have partnered with Multiverse Computing.
What are the cost benefits of CompactifAI?
CompactifAI provides 50-80% lower inference costs, up to 2x faster inference, over 50% savings in retraining and inference costs, reduced energy bills, lower hardware expenses, and reduced CAPEX by enabling AI on existing hardware.
What is the company's background?
Multiverse Computing was founded in 2019 and is the biggest quantum software provider in Europe. The company is recognized as one of the top 100 most promising AI companies globally in 2023 by CB Insights. It has offices in Spain, Canada, France, Germany, UK, Italy, and USA, and is backed by Sociedad Española para la Transformación Tecnológica (SETT).
What is Sovereign AI?
Sovereign AI is a coming soon feature - the Multiverse Computing Foundry, a unified platform for sovereign AI infrastructure that lets users explore models, deploy GPU clusters, monitor costs and workloads, and access serverless AI services within an intuitive control panel, enabling secure, production-ready AI with full control across cloud, data centers and edge environments.