Apex LLM
A specialized 4B parameter FP16 Large Language Model designed for agentic workflows, tool usage, and intelligent input filtering.
Agentic Design
Optimized specifically for tool usage and workflow execution
Edge Optimized
4B parameters designed for efficient on-device deployment
Smart Filtering
Intelligently distinguishes requests from casual interactions
UK Developed
Trained and developed entirely in the United Kingdom
Product Details
Compact language model engineered specifically for agentic AI systems
Intelligent Agentic AI Model
Core Language & Reasoning
Prioritises language understanding and logical reasoning over low-level procedural details
3-layer Discrimination Head
RAM-resident router that reorders, condenses, and annotates context for the LLM
Annotated Tool Calling
Routing metadata enables deterministic, auditable tool invocations for low-level tasks
Edge Optimized
Compact FP16 model tuned for on-device inference with low resource use
Low Latency
Optimized pipeline for real-time agentic interactions
Domain Generalisation
Broad high-level coverage; exact details accessed through specialised tools
Code & Technical Knowledge
Trained on code, docs and technical datasets to support developer workflows
R&D Licence Model
Open-source lifetime availability with official support tied to AI Laboratories licences
Development Progress
Expected beta release October-December 2026
R&D Progress
Funding Breakdown
Funding Sources
Timeline & Updates
Project Inception
Initial research and architecture planning for the Apex LLM model began.
Discrimination Head Architecture
Started planning on the three-layer discrimination head for context processing.
Training Dataset Collection
Started collection and curation of specialized training datasets.
Why Private AI Matters
Private AI ensures your sensitive information stays secure.
Complete Data Privacy
Your data never leaves your device or network. Process sensitive information without compromising privacy or regulatory compliance.
Disruption Independence
Free your AI from third-party dependencies. Run models without relying on external providers or facing sudden pricing changes or API shutdowns.
Compliance
Meet the strictest security requirements with air-gapped AI processing. Perfect for healthcare, finance, and government applications.
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