Section 1
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esacode
Building AI systems for the next chapter of human evolution.
Pre-Trained Models
A selection of our pre-trained models, available to be integrated or deployed.
| Model | Parameters | Type | Deployment | Training | Features |
| LLMax base | ~12 M | LLM | edge | base | Processing: CPU code: C++; Context: 128 tokens Embe. dim: 256, Heads: 8, Layers: 8 |
| LLMax mini | ~12 M | LLM | edge | base | Processing: CPU+ code: C++; Context: 128 tokens Embe. dim: 256, Heads: 8, Layers: 8 |
| LLMax X | ~150 M | LLM | edge | base | Processing: GPU code: C++; Context: 512 tokens Embe. dim: 512, Heads: 12, Layers: 12 |
Training
Natively trained on your data.
Computation
Train your AI on enterprise grade GPUs to offer the best performance and resilience.
Optionally train your AI on your own Hardware in on premise to preserve your privacy.
Certification
Certified auditable training to guarantee treaceability of data and outcomes.
Blockchain based certification on Circular Protocol Data Trust Layer for maximum compliance.
Applications
Running on the "edge", no network connection required.
Supervised Processing
Uncover complex anomalies and transform them into actionable intelligence.
Military Wearable Devices
Integrate AI into military wearables to transform raw sensor data into actionable intelligence on the battlefield.
Low Processing Power Devices
Run powerful language models and agents directly on edge hardware to enable real-time intelligence at the source.
In-Field Assistance
Bring expert-level support to the field with AI-driven wearables/handheld devices that deliver real-time assistance — no network required.
Web AI Assistants
Use AI to provide intelligent, context-aware support that helps customers solve problems instantly on your website.
Section 6
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