Data Lake · AI Systems Integrator

Enterprise Data Lake with AI — Data Collection, RAG, On-Premise LLM & Secure Knowledge Management

Your data already exists. You just need a system to use it.

We collect, organize, and make all your company data and documents searchable in a unified data lake. On-premise LLM running inside your infrastructure. Your data never leaves the company.

The Problem

The data is there. Finding it is another story.

Most organizations have years of accumulated data and documents: databases, technical manuals, support tickets, reports, emails, procedures, local archives, file servers, disparate applications. The information assets exist — but they're fragmented, scattered, and hard to search.

Finding specific information takes hours of manual searching, or you ask whoever 'knows where it is'. When that person changes role or retires, the knowledge leaves with them.

Company know-how lives in people's heads, not in a searchable system. Technical support digs through manuals. Customer care scrolls through old tickets. New hires take months to get up to speed.

We transform this scattered data into a centralized, secure, and easily searchable knowledge system.

From scattered data to searchable knowledge. Four steps.

We collect, organize, deploy the AI engine, and deliver a ready-to-use platform.

01

Collection

We connect all company data sources: databases, file servers, email, CRM, ERP, local archives, applications.

02

Organization

We classify and structure data in a unified data lake, maintaining traceability and relationships.

03

RAG + Local LLM

We deploy a RAG system with a Large Language Model running on-premise. Data never leaves the company.

04

Platform

We deliver an interface where you can search any company information in natural language.

Step 01

We connect all sources. Even the ones that don't talk to each other.

HUBERPCRMEMAILDOCSDB

The first step is mapping and connecting all data sources in the organization. It doesn't matter how different they are: SQL databases, Windows file servers, email, SharePoint, CRM, ERP, PDF archives, Word documents, Excel spreadsheets, support tickets, technical manuals.

We develop custom connectors for each source. Data is extracted, normalized, and prepared for ingestion into the data lake — without altering the original systems.

Connection to relational and NoSQL databases (SQL Server, MySQL, PostgreSQL, MongoDB)
Ingestion from file servers, SharePoint, Google Drive, company NAS
Extraction from email, attachments, PDFs, Office documents
Integration with ERP (SAP, Zucchetti, TeamSystem, Odoo) and CRM (Salesforce, HubSpot)
Connectors for ticketing systems (Zendesk, Jira) and existing knowledge bases

It doesn't matter how many sources you have or how different they are. We connect them all into a single data lake, without touching the original systems.

Step 02

From scattered files to a structured, traceable data lake.

ABC

Once collected, data is classified, indexed, and organized in a unified data lake. Every document, record, and piece of information retains its original structure, metadata, and source traceability.

AI automatically classifies content by type (manuals, procedures, tickets, reports, contracts), by business area, and by temporal relevance. This enables granular, contextual search.

The data lake is designed to grow over time: new documents and data are automatically integrated as they're produced.

Automatic classification by type, area, and relevance
Full-text and semantic indexing of all content
Metadata and source traceability preservation
Data deduplication and normalization
Automatic incremental updates for new documents

Every piece of data retains its source traceability. You always know where information came from and when it was last updated.

Step 03

RAG + on-premise LLM. Data never leaves the company.

DOCVECTORSLLM ON-PREMISE

On this foundation, we deploy a Retrieval-Augmented Generation (RAG) system that combines semantic search across the data lake with a Large Language Model running locally, inside your infrastructure.

Here's how RAG works: when a user asks a question, the system finds the most relevant documents in the data lake, passes them as context to the LLM, and the model generates a response based exclusively on your company data — not generic knowledge.

The LLM runs on-premise: sensitive documents, internal know-how, and strategic information are never sent to external servers. Full control over security and privacy, GDPR compliance guaranteed.

Retrieval-Augmented Generation (RAG) with semantic search
LLM running on-premise on company infrastructure
Zero data sent to external servers — full privacy
Responses based exclusively on actual company data
GDPR and data protection regulation compliance

The LLM runs on your servers. No data leaves the company. Responses generated exclusively from your actual documents.

Step 04

Search anything. In natural language.

AITAKY DATA LAKEAI3 fonti98%

The end result is a platform that indexes and makes all company knowledge searchable via natural language. Just type a question — the way you'd ask a knowledgeable colleague — and the system returns the answer with references to the original documents.

Internal teams quickly find information and procedures. Technical support gets immediate access to manuals, technical documentation, and previously resolved cases. Customer care responds to clients in seconds instead of minutes.

New hires get up to speed quickly by querying the system. Company knowledge no longer depends on individual people's memory.

Natural language search interface (like talking to a colleague)
Answers with source document citations and direct links
Immediate access to manuals, procedures, resolved tickets, reports
Permission management: each user only sees data they're authorized to access
Dashboard with analytics on usage, frequent queries, and information gaps

One question, one answer. With a reference to the original document. Like having the company expert always available.

The infrastructure

AITAKY BRAIN

The dedicated device that powers your Data Lake.

Aitaky Brain is an edge computing device we install at your facility. It connects to your systems — ERP, CRM, email, documents — and runs the Data Lake and AI directly on your local network.

Your data never leaves your company. No cloud. No third parties. AI runs where your data lives. We manage it remotely via encrypted connection.

Data stays on your network. Aitaky Brain remains Aitaky property — it's included in the service. You don't buy it, you receive it.

ERP
CRM

AITAKY

BRAIN

EMAIL
DOCS
Silent

Book-sized form factor. Deploys in your server room or on a desk. Zero noise.

Secure

Data stays on your network. Encrypted tunnel for remote management only.

Managed

Zero internal IT overhead. Updates, monitoring, and maintenance handled entirely by our team.

On-premise AI. Total privacy. Accessible company knowledge.

Unified data lake

All company data — documents, databases, email, tickets, manuals — collected, classified, and indexed in a single structured, searchable repository.

On-premise LLM

The Large Language Model runs entirely on your servers. No data is sent to external clouds. Full GDPR compliance and total security control.

Natural language search

Employees search for information the way they'd ask a knowledgeable colleague. The system returns precise answers with references to original documents.

Your data stays yours. AI makes it accessible. Company know-how is never lost again.

Who it's for

Who benefits from it every day.

Technical support & customer care

Immediate access to manuals, documentation, resolved tickets, and procedures. Customer responses in seconds instead of minutes. Less escalation, more autonomy.

Internal & operational teams

Find procedures, policies, and operating instructions without asking colleagues. Company knowledge is available 24/7, not just when the expert is in the office.

New hires & onboarding

Access the company's knowledge base from day one. Drastic reduction in training time and immediate operational autonomy.

Management & leadership

Aggregated view of company information assets. Identification of documentation gaps and areas where knowledge is concentrated in just a few people.

Frequently asked questions

Data Lake · AI Systems Integrator

Transform your data into knowledge.

We'll show you in 30 minutes how to collect, organize, and make all your company data searchable. On-premise, secure, in natural language. No commitment.

Response within 1 business day

Book a free consultation