The Portable AI Operating System for Your Enterprise
We provide a portable reasoning model with an enterprise AI operating system, turning AI from a disconnected set of tools into a secure, powerful intelligence layer for your business.
With Giotto, teams can chat, build agents, connect Python workflows, reason over private documents, integrate with enterprise systems, and govern AI usage across the organization.
Run it on your own infrastructure, access it through dedicated hosted servers in Switzerland or the EU, or deploy it as a certified Giotto appliance.
Run Giotto on your GPUs
Download the Giotto operating system and model, install it wherever you want, and pay a license per GPU.
Learn moreStart immediately on Giotto Cloud
Access dedicated GPU cloud servers for private, managed workflows.
Learn moreOwn your AI infrastructure
Buy a Giotto-preinstalled GPU workstation for your office, or an enterprise server to locate in the data center of your choice.
Learn moreGiotto provides a high-performance, sovereign alternative to closed-source APIs, delivering superior reasoning and operational control without compromising data privacy or computing efficiency.
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A single, massive dense network where every parameter is activated for every request
A coordinated intelligent system of small models
Reliability depends on pre-trained weights with limited real-time adaptation
Leverages test-time compute and dynamic adaptation to optimize reasoning and accuracy for each specific task in real-time
Requires sending sensitive data to external cloud infrastructures
Infrastructure-agnostic deployment, ensuring 100% data residency and full data control for defense and critical infrastructure domains
High performance but often lacks precision in complex, multi-step industrial tasks
Outperforms frontier models on reasoning benchmarks
High cost per reasoning task, driven by large-scale model inference requiring multi-GPU infrastructure and expensive token-based pricing
Significantly lower cost per task, as the system runs efficiently on a single GPU
High energy consumption per task, often requiring tens of GPUs per inference, resulting in substantial watt usage even for moderately complex reasoning
Orders-of-magnitude lower energy consumption, operating on a single GPU and minimizing watt usage per task
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