AI Systems & Sovereign Intelligence

detayz.

Engineering intelligent systems that think, adapt, and ship.

We architect private on-premise LLMs, precision domain fine-tuning pipelines, and autonomous multi-agent networks engineered for mission-critical production environments.

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100% Private & Sovereign
Zero Data Leakage
E2E Autonomous Agents
✥ Interactive 3D Core · Move cursor
// 01 · WHO WE ARE

We turn bleeding-edge AI research into sovereign production tools.

detayz is an applied artificial intelligence engineering studio. We bridge the gap between academic model releases and enterprise-grade execution.

Our philosophy centers on total data sovereignty, low-latency bare-metal deployment, and deterministic agentic workflows. We believe the future of AI belongs to teams with sovereign, private, fine-tuned models tailored to their exact operational reality.

detayz orbital horizon
DETAYZ HORIZON · PRIVATE COMPUTE ARCHITECTURE
// 02 · WHAT WE BUILD

Core Capabilities

From hardware-level model quantization to autonomous multi-agent DAG execution.

01 INFRASTRUCTURE

Local LLM Deployment

High-throughput inference on bare-metal and private cloud servers. Quantization via AWQ, EXL2, and GGUF with zero cloud API dependencies.

vLLM Ollama llama.cpp TensorRT
02 FINE-TUNING

Precision Model Training

Domain-adapted fine-tuning pipelines. Full parameter, LoRA/QLoRA, and preference alignment (DPO, ORPO) on proprietary organizational datasets.

LoRA / QLoRA PEFT Unsloth Axolotl
03 AUTONOMY

Autonomous Agent Networks

Multi-agent orchestration frameworks capable of planning, tool-calling, error recovery, and long-horizon autonomous task execution.

MCP Protocol Multi-Agent DAGs Tool Calling Memory
04 KNOWLEDGE

Agentic RAG & Knowledge Engines

Hybrid retrieval architectures combining dense semantic vector search, BM25, cross-encoder re-ranking, and dynamic knowledge graph verification.

Vector DBs Hybrid RAG ColBERT Knowledge Graphs
// 03 · METHODOLOGY

Engineering Lifecycle

A deterministic path from raw domain data to sovereign production deployment.

PHASE 01

Data Synthesis & Curation

Curating clean instruction sets, synthetic token generation, and deduplication for domain alignment.

PHASE 02

Quantization & Acceleration

Calibrating 4-bit and 8-bit precision models to maximize tokens-per-second on target hardware envelopes.

PHASE 03

Tool & MCP Integration

Hardening agents with Model Context Protocol servers, sandboxed code execution, and deterministic gates.

PHASE 04

On-Premise Deployment

Containerized air-gapped deployment with automated monitoring, telemetry, and continual evaluation.

// 04 · ECOSYSTEM

Technology Stack

PyTorch CUDA Acceleration Transformers vLLM Inference LoRA / QLoRA GGUF / llama.cpp Model Context Protocol (MCP) Ollama DeepSeek / Qwen Llama 3 LangGraph / Multi-Agent ChromaDB / Qdrant FastAPI Docker & Kubernetes Triton Server MLOps Automation
INITIATE ENGAGEMENT

Ready to build sovereign AI infrastructure?

Let's discuss how private local LLMs, fine-tuned adapters, or autonomous agents can transform your operations.

Available worldwide · Remote & on-premise engagements