CompactifAI

What it does

CompactifAI is Multiverse Computing’s model-compression product. It uses tensor networks to compress foundational models, including large language models, with the stated aim of reducing model size and memory and disk-space requirements. The product page describes parameter reduction, faster inference, and faster retraining; it does not detail supported input formats or quantify these outcomes for a particular model.

The documented workflow is to use compressed models through a managed inference API, or deploy them in a customer’s cloud, on-premises, or at the edge. The API is positioned for rapid development and uses a simple API call; the page says it leverages AWS, but does not specify API authentication, model selection, or usage meters. Private deployment is presented for teams seeking to operate the models within their own infrastructure. The intended users are organizations building or deploying AI systems, including teams with infrastructure, portability, or local deployment requirements.

A signup link is provided for API users, and the product page also offers a demo request. The page advertises the first month free for new API users, but gives no subsequent rate or billing basis. Private deployment arrangements and their costs are not specified. Claims about privacy, security, and performance are product-page statements, not independently established technical guarantees.

What it can do

• Compresses foundational AI models, including LLMs, using tensor networks
• Reduces model size and parameter count
• Provides managed inference API access to original and compressed models
• Supports private deployment in customer cloud, on-premises, or at the edge
• Enables smaller specialized models to run locally
• Lists faster inference and faster retraining as product features

Before you choose

• The advertised first month free applies to new API users; no recurring free tier, later price, billing basis, or usage limits are specified.
• The product page does not identify supported model formats, API authentication, or specific deployment hardware and operating systems.
• Private deployment is described as an option, but setup requirements and associated costs are not published.

Listed under

• Coding
• Developers
• Edge AI
• Enterprises
• Inference API
• LLM optimization
• Model compression

Get started

The page links to signup for API users and also offers a demo request.

1. Create an account through the product page’s API signup link.
2. Choose managed API use or request a demo to discuss CompactifAI.
3. For private deployment, contact the provider to discuss customer-cloud, on-premises, or edge deployment; technical prerequisites are not listed.

Product page advertises the first month free for new CompactifAI API users. It does not state the charge after the first month, usage meters, or private deployment pricing.

We couldn’t find published prices for CompactifAI. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 2 Nov 2026. Each source supports part of the overview; availability and prices can change.

• CompactifAI - Multiverse Computing ↗multiversecomputing.com
• Multiverse Computing - Pioneering the Era of Efficient and Sovereign AI ↗multiversecomputing.com
• Multiverse Computing opens new office in Madrid and strengthens its position as Spain’s AI model provider ↗multiversecomputing.com

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Last checked 2 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.