Enable governments and enterprises to retain full control over the AI systems they use, without compromising access to the most advanced reasoning capabilities. From this control comes what matters most: protected data, preserved autonomy, and lasting strategic independence.
Giotto is the next generation portable AI model. Built to enable agentic reasoning on a single GPU, it can run on the infrastructure of your choice.
At its core, Giotto is a foundation AI model designed around a fundamentally different paradigm: not a single monolithic architecture, but a coordinated network of smaller, specialized models working together. Inspired by distributed intelligence principles, it breaks down complex reasoning into modular components that collaborate dynamically, enabling greater flexibility, transparency, and control.
This architecture is further enhanced by adaptive test-time compute, allowing the system to scale reasoning depth in real time based on task complexity. Instead of overcommitting resources, it intelligently allocates compute where it matters most, improving both efficiency and accuracy.
The result is a foundation that is not only portable across environments, but also inherently scalable, auditable, and resilient, purpose-built for enterprise-grade AI systems that demand precision, adaptability, and trust.
Giotto enables the creation of highly specialized agents tailored to specific business domains, use cases, and operational needs. Rather than relying on generic intelligence, teams can design agents with focused expertise, ensuring higher accuracy, better performance, and more predictable outcomes.
This specialization is supported by flexible development workflows and programmatic interfaces that make it easy to configure, test, and refine agent behavior. As a result, organizations can build a portfolio of purpose-driven agents that align closely with their processes, unlocking greater efficiency and enabling more precise automation across complex tasks.
Giotto provides a powerful orchestration layer that enables multiple agents to work together seamlessly. It supports event-driven coordination, allowing agents to communicate, react, and execute tasks in real time as part of dynamic workflows.
With intuitive interaction capabilities, including conversational interfaces, users can easily trigger actions, monitor behavior, and guide execution without needing deep technical intervention. This approach transforms isolated agents into collaborative systems, capable of handling complex, multi-step processes while maintaining transparency and control throughout the entire execution flow.
Full visibility is built into every layer of execution, ensuring that teams always understand how workloads are performing. The model provides centralized insights into resource usage, system health, and operational performance, enabling proactive management of both infrastructure and AI processes.
Advanced monitoring capabilities include real-time dashboards, automated health checks, and intelligent alerting, allowing teams to quickly identify and resolve issues before they impact operations. Combined with end-to-end tracing, this ensures that even the most complex workflows remain transparent, measurable, and continuously optimizable.
Giotto ensures that every interaction and operation is controlled, traceable, and compliant. A robust access control system enables organizations to define who can access what, enforcing consistent policies across all components and workflows.
Comprehensive logging captures every event, action, and access pattern, providing a complete audit trail for debugging, monitoring, and compliance purposes. With integrated identity management and support for federated authentication, the model fits seamlessly into enterprise environments while maintaining the highest standards of security, accountability, and operational trust.
Giotto provides a high-performance, sovereign alternative to closed-source APIs, delivering superior reasoning and operational control without compromising data privacy or computing efficiency.
Placeholder
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 (ARC-AGI-2)
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
Built on breakthrough research in test-time compute and reasoning with small models, our technology achieves unprecedented performance on ARC-AGI, unlocking a new paradigm of efficient, scalable intelligence.
Have a question for us? Please fill out the form below, and our team will get back to you promptly.