Enterprise-Grade Infrastructure

Enterprise Local AI. Self-Installing. Complete Sovereignty.

A premium local AI platform for organizations that need document intelligence without compromising control. AIWORSKY is engineered for under-2-hour deployment from unboxing to first access, with a guided ingestion flow, flexible hardware choices, and local-only processing inside your facility.

Platform

Local AI for document-heavy teams

Built to bring retrieval, citation-backed answers, and governed access into one enterprise workflow.

Deployment

Flexible hardware, clear outcomes

GPU, NPU, or CPU-only configurations supported, with performance shaped by the selected architecture.

100
TFLOPS
12ms
Latency
0
Cloud APIs
<2h
Full Deployment
Commercial Positioning

Starting from 9,200 EUR, with reseller discounts available and pricing influenced by the underlying hardware architecture. Supported model families include Gemma, Qwen, and Ollama-based workflows, selected according to performance needs and resource availability.

AI Platform

Local intelligence, structured for enterprise use

Deployment
<2h
from unboxing to first access
Pricing
From 9,200 EUR
hardware-dependent
Architecture
GPU / NPU / CPU
flexible by design
Models
Gemma / Qwen / Ollama
selected by workload
Platform View
Document intelligence workflow
EAN / GTIN-13
0808370061757
Ingest USB / approved media
Index 30 min to 8 h
Query 12-45 ms

Use Cases That Drive Real Adoption

AIWORSKY is built for organizations that work with large document volumes, mixed formats, and repeated knowledge retrieval across departments. These are the workflows where local AI creates immediate operational value.

Semantic search across enterprise documents

Index PDF, Word, PowerPoint, email, and text files so users can find content even when they do not know the exact document name. Search by meaning, concept, clause, topic, client, project, or business context rather than by filename alone.

Contract clause retrieval and risk review

Automatically locate clauses related to penalties, termination, renewal, liability, exclusivity, and confidentiality across thousands of contracts. Teams can review contractual risk faster and with far less manual reading.

Deadline and renewal extraction

Extract and index renewal dates, term end dates, payment deadlines, maintenance windows, certification expiries, and notice periods. This turns unstructured files into a searchable operational calendar.

Historical reconstruction of clients and projects

Rebuild a full history of a customer or project by connecting contracts, offers, emails, tickets, meeting notes, complaints, and related files. This provides a complete narrative instead of fragmented document silos.

Procedure search and audit evidence retrieval

Find the exact section of an internal procedure, then pull the documents, logs, and reports needed to demonstrate compliance during audit or governance reviews.

Technical manuals and product documentation

Locate sections about failures, configuration, maintenance, error codes, product compatibility, warranties, and installation steps so support teams can answer faster.

Overview

A Product Site That Explains the System Clearly

AIWORSKY is positioned as a local AI platform with a commercial entry point, flexible infrastructure choices, and a strong emphasis on governance, search, and operational adoption.

Architecture

Built Like a Product Platform, Not a Simple Appliance

AIWORSKY combines local retrieval pipelines and a browser-based enterprise interface into a single deployable system. The underlying hardware can vary by configuration and influences the system's potential, cost, throughput, and deployment profile. It is designed for organizations that want to operationalize internal knowledge without exposing documents to public cloud services or fragmented point tools.

Inference path Queries are answered locally on the appliance, allowing deterministic infrastructure control and minimal network exposure.
Indexing pipeline Uploaded content is parsed, chunked, embedded, and indexed for semantic retrieval across mixed document formats.
Auditability The platform is structured to support traceability, source inspection, and internal governance requirements.

Reference Use Cases

  • • Internal policy search for HR, legal, compliance, and operations.
  • • Product documentation and engineering knowledge bases.
  • • Contract and proposal review with source-linked responses.
  • • Multi-department knowledge access for distributed teams.
  • • Private document analysis where cloud exposure is not acceptable.
Capabilities

Institutional-Grade Architecture

The product combines deployment flexibility, model choice, and document intelligence with a clean on-premises operating model.

Air-Gapped by Design

Zero external network connectivity. No cloud APIs. No data exfiltration. Hardware-enforced isolation at the network interface level keeps your proprietary knowledge entirely on-premises.

NVIDIA Ampere Acceleration

Recommended architectures include GPU-accelerated and NPU-based systems, but AIWORSKY also runs on CPU-only deployments with a minimum of 12GB RAM and 256GB SSD. Hardware determines the potential of the system, while the software stack can adapt to the available resources.

Self-Installing Architecture

Unbox. Power on. One-click setup. The platform auto-detects the available hardware profile, deploys the stack, and configures security hardening automatically. The rollout is designed to stay under 2 hours, including initial setup and first document indexing.

Retrieval-Augmented Generation

Ingest your enterprise documents and receive answers grounded in your knowledge base with automatic citation metadata. Every response includes exact source attribution: document title, section, and page number.

Fixed Investment. No Surprises.

One platform. One starting price. Starting from 9,200 EUR, depending on the underlying hardware architecture. No per-query fees, no token counting, and no usage limits. Unlimited inference at fixed cost for teams that want predictable ROI.

Complete Transparency

Full operational audit trail. Inspect every model, review every inference, and audit every query. No black boxes. No hidden telemetry. GDPR, Swiss nLPD, and EU AI Act alignment built in.

Deployment

Deployment & Installation

AIWORSKY is designed for a fast, simple rollout. In most environments, installation and first access take less than 2 hours, excluding document indexing time.

Physical Installation

Connect the AIWORSKY server to power and to the company network using DHCP, then connect the monitor. The appliance arrives as a compact, rackmountable unit engineered for straightforward office deployment.

Automated Configuration

Boot the system and complete the quick setup wizard. Confirm organization name and language preferences. AIWORSKY handles configuration automatically, so the platform is ready without specialist IT work. Typical duration: a few minutes.

Document Ingestion Pipeline

Insert the provided USB key containing the company documents to analyze. AIWORSKY automatically detects, parses, vectorizes, and indexes the content. Indexing time ranges from 30 minutes to 8 hours depending on document volume and file format.

Operational Access

Once indexing is complete, share the address shown on the monitor with your employees so they can access the system and query the documents from the company network.

How It Works

A premium operating model, explained in a business-friendly flow

AIWORSKY is not presented as a generic box. It is positioned as a repeatable local AI system: connect it, ingest content, index locally, then give users a single address to query the knowledge base.

Step 01

Install and connect

Power the server, join the company network via DHCP, and connect the display. The startup flow is intentionally minimal so the system can be deployed by standard IT staff.

Step 02

Index local content

Insert the supplied USB media, let the appliance parse the corpus, and build the semantic index locally. Depending on volume and format, indexing can take from 30 minutes to 8 hours.

Step 03

Publish access

Share the address displayed on the monitor with employees. They can search and interrogate the document base immediately from the corporate network, with controlled access and traceability.

Commercial

Pricing

Transparent, fixed investment. No per-query fees. No surprise scaling costs. Complete infrastructure ownership. Reseller discounts available.

AIWORSKY Enterprise

Complete local AI infrastructure for enterprise organizations.

Starting from 9,200 EUR
Price varies with hardware architecture

Includes:

  • Flexible hardware base - GPU, NPU, or CPU-only configurations supported; hardware determines potential and price
  • Supported model families - Gemma, Qwen, and Ollama-based model workflows depending on the selected deployment profile
  • Vector database (ChromaDB) - Fully localized semantic search with FAISS acceleration
  • Air-gapped isolation - Hardware-enforced network segmentation
  • Web dashboard & API - Full operational interface and programmatic access
  • Installation & initial setup support - Remote guidance, not on-site
  • Unlimited inference - No per-query fees, no token counting, no usage limits
  • Regulatory compliance framework - GDPR, Swiss nLPD, EU AI Act alignment
EAN 0808370061757

Product identifier for procurement, cataloging, and channel distribution.

Optional Add-ons:

  • • Extended SSD capacity (512GB) - €2,400
  • • On-site installation & training - €3,200
  • • Priority support (12 months) - €1,800
  • • Hardware replacement guarantee (3 years) - €2,200
Contact for Purchase

What's NOT Included:

  • • Cloud hosting or SaaS fees (AIWORSKY is purely on-premises)
  • • Per-query or per-token billing (infrastructure is yours)
  • • Ongoing software licensing (purchased once)

Reseller discounts are available. To purchase, write to distributor@aiworsky.com or info@vevsrl.it.

Alternative Offering

AIWORSKY SaaS for Micro Businesses

For micro activities and small teams that want lower upfront cost and faster access, AIWORSKY is also available as a SaaS version starting from 199 EUR per year.

SaaS edition

The SaaS edition is designed for micro businesses and lightweight operational use cases where controlling total cost of use is more important than keeping all data on-premises.

  • • Starting from 199 EUR per year
  • • Lower usage cost and simpler onboarding
  • • Suitable for small teams and micro activities
  • • Faster time-to-value with minimal infrastructure overhead

Important tradeoff

The SaaS version does not guarantee the same privacy posture as the on-premises platform. For that reason, it should be selected only when data privacy is not the primary requirement and cost reduction is the main objective.

In practice, SaaS is the right fit when a small team wants access to document intelligence without buying hardware, while the local deployment remains the preferred choice for regulated organizations and sensitive corpora.

Deployment Timeline

The system is built to get you productive quickly, while still handling serious enterprise document volumes and governance requirements.

Stage 1

Rack and Connect

Power, DHCP network, and monitor connection in a standard office environment.

Stage 2

Initial Setup

Confirm organization settings, language, and access parameters through the local setup flow.

Stage 3

Index Documents

Import the USB key and let the appliance process, segment, and index your files locally.

Stage 4

Publish Access

Share the on-screen URL with employees so they can query the knowledge base from the company network.

Technical Specifications

Component Specification Details
AI Accelerator Hardware profile dependentGPU, NPU, or CPU-only architecture depending on deployment needs
GPU Cores Variable by architectureHardware choice determines available acceleration and throughput
Tensor Throughput Architecture dependentPerformance scales with GPU, NPU, or CPU resources
Memory Minimum 12GB RAM recommendedHigher memory improves indexing speed and model capacity
Storage Minimum 256GB SSD recommendedAdditional storage improves corpus size and indexing headroom
Query Latency 12-45 milliseconds End-to-end, entirely on-device execution
LLM Model Gemma, Qwen, OllamaModel family support varies by deployment resources and use case
Vector Database ChromaDB (fully localized) FAISS-accelerated approximate nearest neighbor search
Network Interfaces 0 Active (air-gapped) Hardware-enforced isolation, no external connectivity
Ingestion Interface USB 3.0 mass storage Only data entry vector, monitored by dedicated daemon
Max Ingestion per Cycle 64GB recommended Protects vectorization engine from OOM conditions
Power Consumption 10-25W sustained Standard office infrastructure, no special power distribution
Thermal Profile Passive heatsinking, silent operation 0-40°C operational envelope recommended
Document Formats PDF, DOCX, XLSX, TXT, Markdown, JSON Automatic format detection and sandboxed extraction
Compliance Framework GDPR, Swiss nLPD, EU AI Act Regulatory requirements pre-integrated
Deployment Objective <2 hours From unboxing to first access, excluding longer indexing cycles
EAN / GTIN-13 0808370061757 Product identifier for procurement and catalog systems

AIWORSKY vs. Cloud AI Services

Criterion AIWORSKY Cloud AI (OpenAI, Azure, AWS)
Data Location 100% on-premises External cloud servers
Inference Latency 12-45ms 300-2000ms
Pricing Model Starting from 9,200 EUR Per-query / per-token (unbounded)
Data Privacy Absolute (air-gapped) Vendor-dependent, requires trust
Model Customization Full control Limited to API parameters
Compliance Burden Built-in (GDPR, nLPD, EU AI Act) Requires legal assessment
Setup Time <2h Days to weeks (security, integration)
Vendor Lock-in None (own infrastructure) Complete (proprietary APIs)
Network Dependency Zero (fully offline capable) Critical (cloud required)

Frequently Asked Questions

Is my data truly isolated from external networks?

Absolutely. AIWORSKY has zero active network interfaces. No Ethernet. No Wi-Fi. No cellular modem. The only data entry point is a USB port monitored by a dedicated hardware daemon. Your documents remain encrypted on the internal NVMe SSD. No external APIs are invoked. No telemetry is transmitted. Complete air-gapping is not a configuration option; it is the architectural foundation.

What makes AIWORSKY different from a generic local AI server?

AIWORSKY is positioned as a complete productized knowledge appliance rather than a raw server bundle. That means the full stack is optimized together: hardware, retrieval layer, UI, indexing workflow, and procurement metadata are all aligned for enterprise deployment and repeatable ownership.

What happens if I need more than 64GB of documents?

The 64GB per-cycle threshold is a protective recommendation, not a hard limit. The system can technically ingest larger batches, but exceeding this boundary may result in kernel OOM conditions, index corruption, or service restarts. For enterprise corpora exceeding 64GB, process content in multiple cycles and let the vectorization pipeline complete between batches.

How long does initial setup really take?

Unbox, connect power, and confirm setup preferences: the appliance auto-configures the entire stack in minutes, while total deployment stays under 2 hours in typical enterprise environments. If you have documents ready for initial ingestion, add 30 minutes to 8 hours depending on corpus size and format. Your first query executes within 12-45 milliseconds after setup completion.

Can I operate AIWORSKY entirely offline?

Yes. Completely offline operation is the default. AIWORSKY has no internet dependency whatsoever. No cloud APIs. No model downloading from external sources. No telemetry transmission. Disconnect your facility from the internet entirely, and the system continues operating at full capacity indefinitely.

What is the total cost of ownership?

Pricing starts from 9,200 EUR and varies with the underlying hardware architecture. There are no per-query fees, no token counting, and no scaling costs. Run 1,000 or 1,000,000 queries and the cost remains fixed. Optional add-ons, such as extended storage, on-site training, and support plans, are available but not required.

Which departments get the fastest return on deployment?

Teams with document-heavy workflows usually see the fastest impact: legal, compliance, operations, technical support, product management, and internal IT knowledge bases. Those groups benefit most from source-linked answers and the reduced time spent searching across disconnected files.

What happens if the appliance fails?

Your document corpus is encrypted and stored on the internal NVMe SSD. If hardware fails, remove the SSD and install it in a replacement appliance. The system auto-detects the existing corpus and resumes operation. Your data is portable and not vendor-locked to a specific hardware instance.

Is there a free trial or demo available?

No free trial or demo is currently offered. For purchase and reseller pricing, please contact distributor@aiworsky.com or info@vevsrl.it.

Deploy Enterprise AI Today

Organizations requiring absolute data sovereignty, cryptographic isolation, and enterprise-grade inference without cloud dependency.

EAN / GTIN-13: 0808370061757

Contact: distributor@aiworsky.com or info@vevsrl.it