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Product - 02

SearchKnowledge

01

Search documents by meaning, not only keywords.

Intelligent assistant for
your company
documents

Fast search, clear answers, and secure control over internal knowledge without digging through folders, emails and archives.

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ProductSearchKnowledge
Use caseInternal knowledge search
Best forContracts, policies, reports, manuals, archives
ImpactFaster answers, better control, less time wasted

The problem

Where company knowledge actually lives

In most companies, the answers already exist in contracts, policies, procedures, reports, offers and manuals. The problem is where they live: scattered across folders, inboxes and archives.

So people lose time. An employee hunts for one clause. A manager waits for a summary. Questions depend on the person who knows where the document is.

Sensitive documents can also be one shared-folder mistake away from the wrong eyes, while new employees need too much time to learn where things are.

The solution

From archive to assistant

Your documents already contain valuable knowledge. SearchKnowledge makes that knowledge accessible, searchable, and controlled.

SearchKnowledge is a desktop application connected to a central server, built for companies that work with many internal documents. Employees stop searching through folders; they ask a question and receive the answer, summary and source.

How it works

Five steps, no technical setup for users

  1. 01

    The company uploads its documents.

  2. 02

    The system reads and organizes them internally.

  3. 03

    Employees search, or simply ask a question.

  4. 04

    SearchKnowledge finds the most relevant information.

  5. 05

    Users receive answers, summaries, and the sources behind them.

Where does AI fit in? Simply put: AI helps the system understand the meaning of a question, not just the exact words typed. Everything it answers comes from your own documents.

What users can do

The everyday toolset

  • Upload PDF, DOCX and TXT documents
  • Search by keywords
  • Search by meaning
  • Ask questions in natural language
  • Receive answers based on company documents
  • View the relevant document fragments
  • Generate summaries
  • Check the source of every answer
  • Access search history

Practical examples

One product, time saved across different teams

Legal

Find contract clauses quickly — without rereading the whole contract.

HR

Locate internal policies and procedures the moment someone asks.

Sales

Search through past proposals and product documentation.

Support

Find answers in manuals and technical documents while the customer waits.

Management

Receive fast summaries from long reports.

Operations

Centralize recurring procedures and internal instructions.

Security and access

Who sees what should be a decision, not an accident

  • Every user has their own account.
  • Documents can be private, group-based, company-wide, or admin-only.
  • Employees only see documents they are allowed to access.
  • Administrators manage users, groups, permissions and documents.
  • Important actions can be tracked through audit logs.
  • Security decisions are enforced on the server — not only in the interface.

In practice this means the sales team searches offers, HR searches policies, management sees what it should and nobody opens documents that were never meant for them.

Why it is different

Search that understands vs. search that matches words

Normal search

  • Looks for exact words
  • Returns many unclear results
  • Requires manual reading
  • Does not understand the question
  • Often lacks clear access logic

SearchKnowledge

  • Understands the meaning of the question
  • Finds the relevant fragments
  • Generates answers and summaries
  • Shows its sources
  • Respects access permissions

Business benefits

What changes after the first month

  • Less time wasted searching
  • Faster decisions
  • Better access to internal knowledge
  • Higher team productivity
  • Reduced dependency on key employees
  • Easier onboarding
  • Better control over sensitive information
  • Centralized company knowledge
  • Answers based on sources, not assumptions

Implementation

From first call to daily use

  1. 01

    Analysis

    We analyze your documents and needs.

  2. 02

    Server setup

    We install the central server.

  3. 03

    Access model

    We configure users, groups and permissions.

  4. 04

    First upload

    The initial document set goes in.

  5. 05

    Real testing

    We test with your real users.

  6. 06

    Training

    A short session — the app needs little more.

  7. 07

    Optimization

    Continued usage, tuning and support.

Choose the right infrastructure model

SearchKnowledge can be adapted to your company security, cost and operational needs.

Option 01

AI Service Subscription + Cloud Server

The application runs on a cloud server, while AI capabilities are provided through an external AI service subscription.

Advantages

  • Lower initial infrastructure complexity
  • Faster implementation
  • Easier scaling

Trade-offs

  • Monthly AI service costs
  • Cloud hosting costs
  • Security depends on cloud configuration and external AI service policies

Best for companies that want fast deployment and lower internal maintenance.

Implementation cost
Lower to medium
Monthly cost
Medium to high, depending on usage
Security control
Medium
Option 02

AI Service Subscription + Local Application Server

The application server is installed locally, inside the company’s infrastructure, while AI features still use an external AI service.

Advantages

  • Better control over documents and application data
  • Good balance between security and AI quality
  • Useful when documents should stay inside the company network

Trade-offs

  • AI still depends on external service subscription
  • Local server requires setup and maintenance
  • Implementation cost is higher than full cloud

The middle path — documents stay inside the company, AI quality stays high.

Implementation cost
Medium
Monthly cost
Medium, based on AI usage
Security control
High for documents, medium for AI processing
Option 03

Local AI + Local AI Server + Local Application Server

Both the application and AI system are installed locally, giving the company maximum control over data, infrastructure and long-term operation.

Advantages

  • Highest data control
  • No dependency on external AI providers for core AI processing
  • Long-term cost can become more predictable after setup

Trade-offs

  • Higher implementation cost
  • Requires stronger hardware and technical maintenance

Better for sensitive industries or strict internal policies.

Implementation cost
High
Monthly cost
Lower after setup, depending on maintenance and hardware
Security control
Maximum

During the implementation phase, we help choose the model that fits the company real needs, not just the most complex solution.

Discuss the right setup

SearchKnowledge is not just a search application. It is an intelligent assistant that helps your company use the information it already has.

Request a practical demo

Next step: choose a set of documents for a practical demo adapted to your company.