Engineering intelligent systems that think, adapt, and ship.
We specialize in private on-premise LLM execution, domain-specific fine-tuning pipelines, and multi-agent orchestration — converting bleeding-edge intelligence into production-grade infrastructure.
detayz operates at the frontier of applied artificial intelligence. We discard theoretical fluff to build real systems that execute locally, reliably, and with surgical precision.
From deploying quantized open-weights models on bare-metal hardware to fine-tuning parameter-efficient adapters on specialized proprietary datasets, we equip organizations with sovereign cognitive infrastructure.
Four core capabilities delivering complete autonomy from raw weights to deployment.
Deploy open-weight models (Llama 3, Mistral, Qwen, DeepSeek) on dedicated bare-metal or private clusters. Zero third-party telemetry, extreme latency optimization, and full hardware acceleration.
Transform base models into domain experts. Full parameter tuning, LoRA, QLoRA, and preference alignment (DPO, ORPO, RLHF) tailored directly to proprietary organizational knowledge.
Multi-agent systems engineered to reason, self-reflect, and execute multi-step workflows. Built with deterministic tool calling, Model Context Protocol (MCP), and structured memory architectures.
Next-generation hybrid retrieval architectures combining dense vector representations, BM25 keyword matching, re-ranking, and graph context for hallucination-resistant knowledge synthesis.
Curating, deduplicating, and synthesizing specialized token sets tailored to specific reasoning domains.
Applying AWQ, EXL2, or GGUF quantization schemes to fit massive models into optimal VRAM envelopes.
Equipping models with runtime APIs, sandbox interpreters, and deterministic verification loops.
Deploying hardened Docker/Kubernetes instances directly into private cloud or on-premise hardware.