AI Tools Install Center
Zero-setup one-click install — OpenClaw agent framework, OpenCode coding assistant, pre-cached for speed, official resource bundle
Your AI. Your Data.
Your Hardware.
From private knowledge bases to GPU infrastructure —
enterprise AI that stays on your premises.
Technology Ecosystem
Four Enterprise AI
Solutions
End-to-end AI infrastructure — from model deployment to GPU hardware.
01
RAG Knowledge Base
120B parameter LLM on DGX Spark with 128GB unified memory. Hybrid search with vector + BM25 + cross-encoder reranking. Your data never leaves your infrastructure.
02
Industry AI Platform
White-label multi-tenant SaaS deployable for any vertical. Custom branding, domain-specific knowledge bases, and built-in API gateway with usage billing.
03
GPU Infrastructure
DGX Spark systems with Grace Blackwell architecture. Lease, purchase, or managed installation. Multi-GPU workstation configurations for research teams.
Case Study: A Cross-Border RAG Platform
A vertical AI agent for Chinese companies expanding overseas, running on a single DGX Spark
18
Verticals covered
194+
Authoritative sources
100%
Source recall
3 days → minutes
Compliance response time
Cross-border compliance inquiries went from a 3-day email back-and-forth to minutes, while annual advisory fees dropped from hundreds of thousands to hardware amortization plus a subscription (as covered by NVIDIA's official blog).
Security & Compliance Architecture
Architecture facts for security officers — not marketing promises
Row-Level Isolation
PostgreSQL RLS enforces tenant isolation at the database layer
Tenant Isolation End-to-End
The tenant key travels with every query across the business and vector databases
Zero Public Exposure
Outbound-only Cloudflare Tunnel — no public IP, no inbound ports
Metered & Auditable
Every call is metered, auditable and traceable
Data staying on-premises is a physical boundary, not a contract clause.
Get Started in
Three Steps
From initial consultation to production deployment.
Choose Your Solution
Tell us about your use case. We'll recommend the right combination of hardware, software, and deployment model for your team.
We Deploy & Configure
Our team handles hardware installation, model setup, knowledge base configuration, and integration with your existing systems.
Start Using Immediately
Go live with your private AI infrastructure. Full documentation, training, and ongoing technical support included.
Built for Every
Enterprise Need
From document Q&A to full-stack AI infrastructure.
Document Intelligence
Upload any document — PDF, Word, spreadsheets — and get precise answers powered by hybrid search
Multi-Tenant SaaS
One platform, infinite brands — deploy custom AI for any industry vertical
Local LLM Inference
120B parameter model running on your own hardware with zero API costs
Multi-GPU Servers
In-house liquid-cooled chassis, GPU choice configurable — 287ms median TTFT and 310/310 zero errors on a 122B MoE model
API Gateway
Built-in billing, rate limiting, and OpenAI-compatible endpoints for your clients
GPU Infrastructure
DGX Spark lease, purchase, or managed deployment — Grace Blackwell architecture
Real-time Streaming
SSE streaming with multi-agent orchestration via LangGraph
Why Choose
HTZL.AI?
See how local AI infrastructure compares to alternatives.
Also for Individuals
Not just enterprise — personal AI that runs on your own machine, with your own data.
Personal Knowledge Base
Build your private second brain. Upload notes, papers, and bookmarks — search and chat with your own knowledge, offline.
Local AI Assistant
Run a 120B model on DGX Spark or a lightweight model on Mac Mini M4. Zero API costs, zero data leaks — your personal ChatGPT.
Independent Researcher
Academics, analysts, and indie hackers: ingest domain papers, query with RAG, and iterate — all on hardware you control.
FAQ
Common questions about HTZL.AI and enterprise AI deployment.
An AI industry news discovery platform for independent developers and small teams — monitoring 100+ sources (RSS / social / web), AI-scored curation, bilingual Chinese-English presentation, and MCP protocol access so Claude and ChatGPT can query it directly.