MONARYX

Capabilities

Eight disciplines. One engineering practice.

Most problems worth solving cross more than one boundary. We design, build, integrate, protect and operate — as a single team.

Intelligent Automation

01

We design intelligent workflows that reduce manual work, errors and operating time.

Repetitive work is a design flaw, not a fact of life. We map how your operation actually runs, then build automated workflows that validate, route, notify and report — with full traceability, so you always know what ran, when and why.

  • Business process automation
  • Enterprise workflows and RPA
  • n8n and orchestration platforms
  • PowerShell scripting and Windows automation
  • AI agents for any process
  • Scheduled tasks and operations automation
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Custom Software

02

We build software aligned with how each organization actually operates.

Off-the-shelf tools force your operation to bend around them. We do the opposite: web applications, internal systems, portals and control panels designed around your real processes, your data and your people — and built to be maintained, not rewritten.

  • Web applications
  • .NET and VB.NET applications
  • Internal systems and operational tools
  • Enterprise portals
  • Administrative platforms
  • Mobile applications
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SaaS Products

03

We turn ideas into digital products ready to operate, sell and scale.

A SaaS product is more than an application: it is subscriptions, plans, billing, tenants, permissions and an architecture that will not collapse when customer number one hundred arrives. We build that foundation from day one.

  • Multi-tenant architecture
  • Multi-company, multi-user platforms
  • Subscriptions and recurring billing
  • Plan management and payment-based suspension
  • Administrative panels
  • Public APIs
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AI & Data

04

We integrate artificial intelligence where it produces measurable results, not just demonstrations.

We apply generative AI, computer vision and data engineering to concrete operational problems: reading documents, classifying images, extracting information, answering questions and predicting outcomes — always with human oversight where it matters.

  • Generative AI and LLM integration
  • Intelligent agents and chatbots
  • OCR and document processing
  • Image classification and computer vision
  • Information extraction
  • Data analysis and predictive models
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Cybersecurity

05

Security is part of the architecture from the start — it is not added at the end.

Every system we design assumes it will be attacked. We assess risk, harden infrastructure, review configurations, manage vulnerabilities and build detection and response into the operation — so security is a property of the system, not a checkbox.

  • Risk assessment and security analysis
  • Digital forensics and incident investigation
  • Phishing and malware analysis
  • SIEM, logs and event analysis
  • Secure architecture and hardening
  • Vulnerability management
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Cloud & Infrastructure

06

We design infrastructure that is stable, observable and ready to grow.

Software is only as reliable as the platform underneath it. We design and operate cloud, hybrid and on-premise infrastructure with containers, orchestration, monitoring, backups and disaster recovery — built for the failure scenarios most teams discover too late.

  • Cloud architecture and Azure
  • Linux and Windows Server
  • Active Directory, DNS and GPO
  • Hyper-V, VDI and SCCM
  • Docker, Kubernetes and containers
  • High availability and load balancing
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Integrations & APIs

07

We connect isolated platforms so information flows securely and automatically.

Most organizations do not need another system — they need the ones they have to talk to each other. We design and build APIs, webhooks and synchronization layers that connect banks, payment gateways, ERPs, CRMs and internal tools reliably.

  • API design and development
  • Bank and payment gateway integration
  • Stripe and financial systems
  • CRM and ERP integration
  • Microsoft 365, Power BI and Active Directory
  • SQL Server, Oracle, MySQL, PostgreSQL and MongoDB
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Consulting & Innovation

08

We turn ideas, problems and incomplete processes into executable technology plans.

Sometimes the hardest part is knowing what to build. We run discovery, evaluate feasibility, design architecture and deliver proofs of concept — so decisions are made on evidence, not enthusiasm.

  • Needs discovery and solution design
  • Architecture
  • Proofs of concept and prototypes
  • Technology research
  • Modernization and digital transformation
  • Feasibility evaluation
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Use cases

What this looks like in practice.

These are representative solutions we design and build — described honestly as use cases, not as client claims.

Automated transaction validation

Problem
Payments and transfers are verified by hand, one by one, with errors and delays.
Solution
An automated pipeline that receives receipts, extracts data, validates against records and notifies the result.
Expected result
Validation in seconds, full audit trail and staff freed from repetitive checking.

Document processing with OCR and AI

Problem
Invoices, IDs and forms arrive as images and must be transcribed manually.
Solution
OCR plus AI models that read, classify and extract structured fields, with human review only for low-confidence cases.
Expected result
Documents become usable data automatically, with confidence scoring and traceability.

SaaS platform with recurring billing

Problem
A working product idea, but no multi-tenant structure, plans or automated billing behind it.
Solution
Multi-tenant architecture with subscriptions, plan management, payment-based suspension and an admin panel.
Expected result
A product that can onboard, bill and suspend customers without manual intervention.

Enterprise systems integration

Problem
ERP, CRM, banking and internal tools hold the same information in different, disconnected versions.
Solution
An integration layer with APIs and webhooks that synchronizes entities across systems with conflict rules.
Expected result
One consistent version of the truth, updated automatically across platforms.

Critical infrastructure monitoring

Problem
Failures are discovered when users complain, not when they start.
Solution
Observability stack with metrics, logs, health checks and escalation alerts across servers and services.
Expected result
Problems detected and often resolved before they affect the operation.

Identity and access management

Problem
Shared accounts, unclear permissions and no record of who accessed what.
Solution
Centralized identity with least-privilege roles, access reviews and complete audit logging.
Expected result
Access that matches responsibility, with evidence to prove it.

Intelligent image classification

Problem
Thousands of photos or scans must be sorted and inspected by hand.
Solution
Computer vision models that classify, flag anomalies and route images to the right queue.
Expected result
Consistent classification at scale, with human effort focused on exceptions.

Self-service portals

Problem
Clients and staff depend on calls and emails for routine requests and information.
Solution
A secure portal where users consult, request and resolve by themselves, integrated with internal systems.
Expected result
Fewer interruptions, faster answers and a formal record of every request.

Report automation

Problem
Every week someone assembles the same reports by hand from multiple sources.
Solution
Automated pipelines that collect, consolidate and deliver reports on schedule, with validation rules.
Expected result
Reports that arrive on time, every time, without occupying anyone.

Modernization of manual processes

Problem
A critical process lives in spreadsheets, chats and the memory of two people.
Solution
A structured system with defined states, permissions, history and automatic notifications.
Expected result
A process that survives vacations, growth and personnel changes.

Alerting systems

Problem
Important events — payments, failures, thresholds — are noticed hours or days late.
Solution
Event-driven alerts routed to the right people through the right channel, with escalation rules.
Expected result
The right person knows in seconds, with context to act.

Security and risk analysis

Problem
Nobody can say with confidence how exposed the organization actually is.
Solution
A structured assessment of infrastructure, applications, identities and configurations, with a prioritized plan.
Expected result
A clear, honest picture of risk and a concrete roadmap to reduce it.

Illustrative use cases. We do not publish invented clients, figures or testimonials.

Is there a process that should work better?

Tell us what you need to automate, build, integrate or secure. MONARYX can help turn it into a working solution.

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