Skip to content
LLM-based AI Agents LLM-based AI Agents Intelligent assistants integrated via API with ERP and CRM systems. Knowledge Management with LLMs Knowledge Management with LLMs AI platforms supporting maintenance, sales, and communication — deployed locally or in the cloud. Image and video recognition Image and video recognition Systemy AI do automatycznej analizy 
i klasyfikacji obrazów oraz nagrań wideo.
Document processing with AI Document processing with AI Automated document and invoice processing using language models. Machine Learning Machine Learning Solutions for complex business requirements based on advanced data analysis and machine learning methods. AI Training Programs AI Training Programs Workshops and implementations enabling effective use of AI within organizations.
UX/UI UX/UI A modern UI interface optimized for the best user experience (UX). Product Design Product Design Increase profits and market impact through comprehensive IT solution design – from vision and planning to validation and successful implementation. CI/CD CI/CD Streamlining development and deployment to businesses
Quality Assurance Quality Assurance Ensure high-quality software and customer satisfaction. Tech-stack update Tech-stack update Refactoring, upgrading the technology stack, redesign.
Factory 4.0
OPC Gateway OPC Gateway A gateway connecting machines with IT systems via REST API. Enables real-time data collection and integration regardless of infrastructure. AR Glasses AR Glasses Intelligent document management. Automated content search and integration with MS Teams.
Artificial Intelligence
Github Copilot Github Copilot Workshops and implementation of GitHub Copilot. Faster and more efficient code development for engineering teams. AI Chat AI Chat Intelligent document management. Automated content search and seamless integration with Microsoft Teams. Herodotus Herodotus An AI system supporting maintenance and Autonomous Maintenance. Faster fault diagnosis and centralized technical knowledge.
Monitoring Tool
Grafana Grafana Monitoring of applications, infrastructure, and machines in one place. Real-time data and intelligent alerts powered by Grafana.
HR / Human Resources
Talent Pool in Manufacturing Talent Pool in Manufacturing An application for managing an employee database, supporting sales processes through structured competency profiles and automated company document generation.
About us About us We create IT and AI solutions that support business and production growth. Team Team Meet the people responsible for the company’s strategy and development. Contact Contact Let’s talk about your challenges and collaboration opportunities. Location Location Check where we operate and how to contact us. Career Career Join the team and develop technology projects for business. Podcast Podcast Conversations about practical implementations of AI and technology in business.

Herodotus

A new standard in maintenance powered by AI

The Herodotus system revolutionizes maintenance operations in industrial facilities by integrating technical knowledge, service history, and documentation in one place. It’s an intelligent help desk that supports operators and technicians within the Industry 4.0 framework — 24/7, regardless of shift or employee seniority.

Why implement AI in maintenance operations?

Until now, knowledge was scattered — across files, notes, and the memories of experienced staff. Every failure meant searching for answers, asking questions, and losing time. Herodotus introduces a new operational model: knowledge is always available, always up-to-date, and contextual — integrated in one place, powered by AI and enhanced with a RAG (Retrieval-Augmented Generation) architecture.

This is not just a chatbot. It’s a system that retrieves specific technical data, cites sources, and supports operational decisions — reducing MTTR, eliminating recurring issues, and empowering operators to act independently.

Common challenges in maintenance operations

Knowledge is scattered and unavailable when needed

Documentation, service notes, and failure history — scattered across various systems and files.

Dependence on experienced employees

Operational knowledge is undocumented, “scattered across shifts,” and difficult to transfer to new employees.

Excessive time to diagnose and repair (MTTR)

Employees waste time searching for information and asking questions, relying on intuition rather than data.

Recurring errors and lack of standardization

The same failures are solved repeatedly from scratch, with no systematization or prevention in place.

How Herodotus works – features that deliver real results

Centralization of technical knowledge

It integrates documentation, tickets, checklists, and logs — all accessible in one place.

Natural language search

Ask questions like “how to fix error E23 on line X?” and get precise answers from the documentation.

24/7 availability — regardless of shift or experience level

The system supports everyone — from novice to expert, regardless of knowledge level.

Root Cause Analysis and continuous improvement

Helps identify root causes, generates topics for TPM/RCM meetings, and supports Kaizen initiatives.

Data security and control

Processes only client data, operates on-premise or in the cloud in accordance with IT policy.

Support for Autonomous Maintenance (AM)

Up to 40% of failures resolved without maintenance team involvement — directly by operators.

Metodology 4D

Discovery

Understanding the DNA of the problem before the first line of code is written

The Discovery phase allows for a deep understanding of the business challenge, user needs, and technological context. As a result, the project starts on solid foundations, and key assumptions are validated before development begins.

Key artifact

Standardized Concept Document

Our focus

  • Defining goals
  • Problem identification
  • User research
  • Competitor analysis
  • Feasibility study
  • Technical requirements

Our activities

We analyze the client’s business and technological environment: from existing systems to user needs and strategic goals. We validate business assumptions, identify risks, and define the problem to be solved. The outcome is a coherent product concept that forms the foundation for the next stages of the project.

Definition

Translating knowledge and ideas into a concrete product plan

In the Definition phase, we transform insights from Discovery into a detailed solution design. This includes defining requirements, system architecture, and the user experience concept.

Key artifact

Product & Architecture Blueprint

Our focus

  • Requirements gathering and analysis
  • Use case analysis
  • UX and prototype design
  • System architecture design
  • Risk register
  • Effort and cost estimation

Our activities

We translate business goals into specific functional and technical requirements. We design UX prototypes, define the architecture, and plan the project implementation. This ensures development starts with a clear plan and minimal risk.

Delivery

Building and delivering reliable software

In the Delivery phase, we develop the final solution. We focus on code quality, clear communication with stakeholders, and a stable product release.

Key artifact

Production-ready product / deployment

Our focus

  • Product development
  • Stakeholder management
  • Testing and quality assurance
  • Development

Our activities

Our teams build the solution using modern development practices and continuous integration. We regularly test the product and maintain transparent communication with stakeholders to deliver a stable, production-ready solution.

Direction

Transforming a product into a growing digital business

Direction is a phase of long-term product development. Instead of ending cooperation after implementation, we support clients in scaling solutions, introducing innovations, and building a competitive advantage.

Key artifact

Product development and innovation roadmap

Our focus

  • Product development and roadmap
  • Customer Success and support
  • Strategic consulting
  • Innovation and future planning
  • Identifying new revenue streams

Our activities

Together with the client, we analyze product data, identify new growth opportunities, and plan future functionalities. We help scale the solution, optimize its performance, and build a long-term product strategy.

What do you gain by implementing Herodotus with our team?

  1. 50–70% reduction in downtime
  2. Shorter MTTR and faster incident response
  3. Increased operator autonomy (AM – Autonomous Maintenance)
  4. Retention and accessibility of operational knowledge
  5. Full security and compliance with IT policy

What do you gain by implementing Herodotus with our team?

Herodotus is applicable in:

Large-scale manufacturing facilities with complex machine infrastructure

Pharmaceutical, food, automotive industries and logistics

Organizations operating in shifts and with high staff turnover

Companies investing in standardization, Autonomous Maintenance, and AI-driven maintenance operations

Discrete and high-volume manufacturing environments where response speed and operational continuity are critical

Herodotus enables the transition from fragmented knowledge to a unified, accessible operational knowledge base. By integrating documentation, service requests, and expert insights, it allows for faster fault diagnosis, reduces downtime, and fosters a culture of continuous improvement — fully aligned with the principles of Industry 4.0.

Herodotus represents a true shift in how technical knowledge and failure response are managed. Employees gain real-time access to critical information — while the plant reduces downtime and improves operational efficiency.

FAQ

No, Herodotus is much more than a chatbot. It is an intelligent Industrial AI system designed to support maintenance operations in manufacturing plants by integrating technical documentation, incident history, checklists, and operational knowledge into a single, accessible platform. Users can ask questions in natural language (e.g., “How do I fix error E23 on line X?”), and the system delivers precise answers based on real technical data. It operates 24/7 and supports both operators and technicians — regardless of shift or experience level.

Implementing Herodotus delivers tangible, measurable operational results. Customers report shorter repair times (MTTR), downtime reductions of up to 50–70%, and increased operator autonomy — with up to 40% of failures resolved without involvement from the maintenance department. You gain knowledge availability across all shifts, the elimination of recurring mistakes, and a standardized approach to technical problem-solving.

The implementation process is divided into four stages. First, we analyze your processes, documentation, and IT infrastructure. Next, we configure the system to reflect the structure and real working conditions of your plant. The third stage includes pilot deployment, testing, and hands-on user training. Finally, we provide ongoing support, continuous knowledge base development, and assistance with further integrations.

Yes, the system is fully configurable and tailored to your existing processes. Herodotus can operate as a standalone tool or integrate seamlessly with CMMS, MES, ERP systems, ticketing platforms, and technical documentation repositories. During implementation, we map your organizational structure and workflows so the system genuinely supports day-to-day operations.

Herodotus can run either on‑premise or in the cloud, depending on your IT policy and preferences. It does not require changes to your machinery or the purchase of specialized hardware. All that’s needed is a server environment or cloud resources and integration capabilities (e.g., via API). If required, we support your IT team in preparing the environment.

Absolutely. Herodotus is designed to fully comply with IT security policies used in industrial environments. It processes only your internal data and does not transfer it to external providers. The system can be deployed locally or in a secure, dedicated cloud environment. User access is controlled through role‑based permissions.

Yes, we offer a pilot phase. This allows you to evaluate Herodotus in real operating conditions. Together, we select a specific area (e.g., a production line), configure the system accordingly, deploy it, train the team, and monitor the results. After the pilot, you can decide on full deployment with a clear understanding of the system’s impact.

After deployment, we provide full technical and expert support. We help expand and update the knowledge base, optimize queries, and further integrate the system with other tools used in your organization. We also offer additional training sessions and workshops to help teams maximize the value of Herodotus.

What kind of team do you need to accelerate work on your projects? Talk to our specialists about your needs.

Jakub Orczyk Member of the Management Board / Sales Director VM.PL
Contact us