AI training customized to meet specific industry demands

Intensive training programs equip teams with vital skills for leveraging AI in optimizing business processes and making informed decisions.

Each session blends foundational theory with practical exercises and hands-on strategies tailored for immediate enterprise application.

Over 95% of participants recommend the program to their peers.

Governmental Travel

Institution

Intensive AI training was delivered to employees of one of Europe's most biodiverse national parks. With a strong focus on practical applications and personalized AI tool integration, the program streamlined workflows—saving valuable time and resources.

Participants quickly gained proficiency in AI applications, resulting in a measurable boost in operational efficiency.

Telecom
Industry

Over 300 employees from Poland’s largest telecom and media group participated in a custom-designed program on digital and AI innovation.

The training equipped teams with industry-specific solutions to enhance competitiveness and drive operational efficiency.

Accelerate AI Adoption with Tailored PoCs and MVPs

Pioneering Academic Research
with a Top European University

We have explored whether proactive conversational AI can foster meaningful human–AI relationships.

This pioneering collaborative project combines latest advancements in AI technology with the most recent psychological insights, setting a new benchmark for the future of human–computer interaction.

Massive-Scale Personalized
Content Generation Solution

AI-driven solution that revolutionizes content delivery, achieving a remarkable 35% increase in customer
retention through personalized, informative content.

Fintech

Contextualized Translation Solution delivering 75% better accuracy than Google Translate

AI solution that streamlines translations and contextualization for market entry, empowering start-ups to scale and boost sales with unparalleled efficiency.

Governmental Disaster
Communication saving lives through AI capabilities

While the U.S. government sends text alerts for impending natural disasters, our solution enhances this system with two-way communication: providing precise guidance, life life-saving support, including access to therapy for those affected.

Detailed Document Analysis Technologie and Methodologies We Use

Mistral OCR (Optical Character Recognition)

Converts scanned documents, PDFs, and images into machine-readable text using tools like Tesseract, Google Vision AI, and AWS Textract.

Document Classification

Automatically identifies document types (invoices, contracts, IDs, etc.) using machine learning models such as Scikit-learn, spaCy, or custom-trained neural networks.

Data Extraction

Precisely extracts structured data (names, dates, totals, signatures) with NLP pipelines and rule-based or AI-driven extraction engines.

Detailed Document Analysis Capabilities

Advanced document processing Technologies & Methods We Use:

Entity Recognition & Validation

Detects and verifies key information like personal data, company names, and legal terms using Named Entity Recognition (NER) and validation logic.

Semantic Search

Enhances search accuracy by understanding the contextual meaning behind queries and documents. Uses embeddings, transformer-based models (like BERT), and vector similarity to retrieve relevant results.

Integration-Ready:

Flexible APIs and modular architecture enable seamless integration with your existing systems and workflows.

Advanced document processing Technologies & Methods We Use:

Become AI-Capable with
Scalable AI Solutions

Automating HR

Employee Surveys Analysys

with LLMs

Case study

HR teams often face the daunting task of analyzing vast volumes of employee feedback surveys. Each survey can demand tens to hundreds of hours of manual analysis in large organizations with multiple recruitment processes.

Integrating Large Language Models into a software platform made this process instantaneous and data secure. Delivering insights in seconds, with no human effort required.

How LLMs Eliminate Manual

Survey Analysis in HR

LLM-powered eNPS: Freeing HR teams to focus on insights, not manual tasks

Two different answers to one question:

Salaries are sub-market

What can be improved in our company?

The management is insufferable, and not even the great salaries can make up for it

VS

LLM-powered eNPS: Freeing HR teams to focus on insights, not manual tasks

HR departments also get a creative partner in translating the data into actionable insights:

• Sentiment analysis

• Common themes

• Indirect feedback hidden in plain sight

As a result, time spent by customer success teams on managing key accounts has been reduced by 20–40%

AI-Powered HR Assistant

for Industrial Manufacturing

Case study

A low-tech manufacturing company with outdated IT systems and an overwhelmed HR department struggled to handle frequent employee inquiries about internal policies and documents.

To reduce strain and improve efficiency, a custom chatbot was deployed. Using a Retrieval-Augmented Generation (RAG) approach, it delivers accurate, context-aware responses by accessing internal company data.

Streamlining HR Support with

Custom AI Solution

Natural Language Interaction
Simple inputs like leave request or breathalyzer test refusal protocol are fully understood.

Smart Case Filtering
Filters out irrelevant queries automatically, lowering the burden on HR teams.

Intelligent Routing
Uses embedded org charts to direct complex issues to the right department, no more email ping-pong.

Contextual Document Retrieval
Instantly connects users with the exact documents, links, or attachments stored in SharePoint.

Always-On Availability
Delivers real-time responses 24/7, ensuring fast answers and less dependency on HR availability.

Key Features That Simplified
Information Access

20–40% Reduction in HR Workload

Fewer repetitive queries, freeing HR to focus on strategic tasks.

Improved Efficiency and Scalability
Employees find the documents and policy information faster. The system copes well with a growing number of inquiries.

Faster Response Times
Instant answers reduce delays and eliminate HR bottlenecks.

Consistent Communication
All responses are sourced from verified, centralized knowledge, ensuring clarity and alignment.

Stronger Internal Branding
A friendly, branded chatbot persona reinforces company culture and improves employee experience.

Real Business Value, Powered by

AI-Driven Support

Intelligent Document
Automation Solution for the Legal Sector

Case study

Document Automation Tool for a Legal Company

The law firm needed to streamline and automate the repetitive, time-consuming process of drafting court writs, requiring a solution built with a deep understanding of legal workflows.

We have designed, developed, and implemented an automated tool tailored to the client's legal documentation processes. The solution integrated smoothly with existing systems and was developed with close attention to user needs, including integration with current documentation system and a custom UX/UI that simplified data input and document generation.

Automated Document Generation

Automatically creates draft court writs based on case data.

Process Integration

Seamlessly connects with the company's workflows.

User-Friendly Interface

Intuitive forms for entering case information and selecting legal arguments.

Knowledge Consolidation

Leverages the firm's accumulated legal expertise to suggest tailored legal arguments.

Key Features of Streamlined Legal Workflows

Operational Efficiency

Significant reduction in time spent on drafting, minimizing repetitive tasks.

Cost Savings

Lower operational costs due to increased automation.

Increased Revenue

Freed-up staff capacity allowed focus on higher-value work.

Strategic Impact

A long-term solution that added enduring value to the legal firm’s operations.

Real Business Value of

Automated Documentation

Client's Feedback

Monterail's work resulted in improvements in user engagement and a smoother experience across all devices. The team was responsive and effective in addressing needs as they arose. They delivered mostly on time and had strong communication and flexibility, ensuring that priorities were aligned.

Is Your AI Strategy

Future-Ready?

Building innovative software for industry leaders