Next-Gen Data Centre Intelligence Platform

Secure AI Knowledge Engine for Critical Data Infrastructure

Instant natural language retrieval across facility manuals, TIA-942 specs, Uptime Institute guidelines, and company SOPs with zero hallucinations.

0.0%

Hallucination Rate

Strict RAG locking

<120ms

Search Latency

Vector index query

TIA-942

Standards Built-in

Uptime Tier I-IV

100% On-Prem

Data Security

Zero cloud leakage

Platform Capabilities

Architected for High-Consequence Operations

Built from the ground up for data centre compliance, zero-downtime engineering, and audited knowledge management.

Enterprise AI Search

Query company SOPs, electrical schematics, and facility manuals with natural language. Every answer is grounded directly in document chunks.

Semantic Document OCR

Automatically ingests complex technical PDFs, circuit diagrams, rack layouts, and tables, creating high-precision vector embeddings.

Multi-Tier Priority Governance

Enforces strict hierarchy: Corporate Policies ➔ TIA-942 Standards ➔ Uptime Guidelines ➔ Facility SOPs ➔ Vendor Specifications.

Isolated Workspaces

Operator-level isolated upload staging area. Documents remain private to session staging until approved by an administrator.

Offline Local AI Engines

Runs fully locally using Ollama / Qwen LLM engines. Zero dependencies on public cloud endpoints or third-party APIs.

Audit-Grade Lineage

Every answer cites exact document name, page number, section heading, and confidence score for immediate technical verification.

Workflow Lineage

How The Ingestion & Query Pipeline Works

From operator document upload to grounded AI answer generation in 6 transparent steps.

Document Upload

Operator uploads technical manual or SOP PDF to private workspace.

Admin Approval

System Administrator verifies clearance and approves document for global index.

Vector Embedding

Semantic OCR chunks text, tables & diagrams into high-dimensional vector store.

Knowledge Base

Document enters searchable enterprise registry with SHA-256 version hash.

Ask Alice AI

Operator queries Alice; RAG pipeline retrieves relevant chunks strictly above similarity threshold.

Grounded Answer

Alice generates answer with inline citations, page references & source download chips.

Product Showcase

Unified Operator & Admin Consoles

Role-tailored interfaces engineered for maximum clarity during high-pressure operational tasks.

Alice AI Assistant Console

Interactive chat window with instant citation links, code block formatting, source download chips, and scope selectors (Enterprise vs Workspace).

💬 "What is the N+1 cooling redundancy policy?"

✓ Grounded: According to SOP-HVAC-2024 (Page 14), all Tier-3 facilities enforce N+1 fan coil redundancy.

Administrator Governance Telemetry

Comprehensive telemetry dashboard for reviewing employee document uploads, tuning LLM model parameters, reviewing audit logs, and managing RBAC.

⚙️ Model Parameters: qwen3:8b (Local)

✓ Vector Index: ChromaDB (1,420 chunks indexed)

Security First

Enterprise Security & Compliance

JWT authentication, role-based access control (RBAC), password policy enforcement, and audit logs.

JWT Session Tokens

Full Audit Logs

Role-Based Access

Offline AI Models

Frequently Asked Questions

Everything You Need to Know

Our RAG engine enforces strict similarity thresholds. If a user query falls below similarity limits or no cleared document contains the answer, Alice responds with a standard fallback notice rather than generating unverified content.