./expertise --list Expertise
How we approach complex systems: the thinking, the experience, and the tools behind it.
// how we think How We Think
- Architecture before code: we design the system before writing a line
- Business logic first: we understand why before we decide how
- Test-driven development: automated test coverage on both backend and frontend
- Measured, not believed: AI is tested before release and traced in production like any other system
- We own the outcome, not just the ticket, embedded in your operations for the long term
- Built to last: maintainable, documented, ready for whoever runs it next
// industries & markets Industries & Markets
Telecommunications
Our primary domain: BSS, sales, order management, service fulfilment and provisioning, field service management, billing, and self-care platforms. Managed engineering service running across 8 markets with millions of active subscribers.
Enterprise & SAP
Deep SAP expertise across S4/HANA, CRM, BRIM/RMCA/SOM, and Archive Link. Complex integrations between SAP and the systems that depend on it. Where standard SAP stops, we continue.
AI & Automation
Agentic systems, RAG, document AI, speech and scoring, built into the CRM, billing, contact centre and messaging channels you already run. Model-agnostic and measured per conversation. Production systems, not prototypes.
E-commerce
SAP Commerce Cloud (Hybris) and Shopware delivery for European markets. Custom storefronts, plugins, payment integrations, and Dockware DevOps.
Telecom markets: Croatia, Slovenia, Bosnia and Herzegovina, Montenegro, Serbia, Bulgaria, Greece, Italy Beyond telecom: Germany, Switzerland, Italy, Denmark, UK, USA
// technology stack Technology Stack
$ cat tech-stack.json
{
"integrations": [
"SAP S4/HANA",
"SAP CRM",
"SAP BRIM",
"SAP Archive Link",
"webMethods ESB",
"Billing Systems",
"REST APIs",
"Swagger/OpenAPI"
],
"backend": [
"Python/FastAPI",
"Java",
"ABAP",
"PHP",
".NET"
],
"frontend": [
"Angular/NX",
"TypeScript",
"RxJS",
"Angular Material",
"Tailwind CSS",
"Vue.js",
"SCSS"
],
"architecture": [
"Solution architecture",
"Enterprise architecture",
"BPMN",
"UML",
"API-first design"
],
"ai": [
"Multi-agent orchestration",
"Tool calling",
"RAG",
"pgvector",
"MCP",
"Model routing & fallback",
"Speech pipelines (STT / TTS)",
"OCR & vision",
"Evaluation & replay testing",
"Cost guardrails"
],
"ml": [
"scikit-learn",
"XGBoost / LightGBM",
"SHAP",
"PyTorch"
],
"e-commerce": [
"Shopware",
"Custom plugins & themes",
"Dockware",
"SAP Commerce Cloud (Hybris)",
"Composable Storefront",
"Payment & logistics APIs"
],
"mobile": [
"React Native",
"Flutter",
"iOS/Swift"
],
"databases": [
"PostgreSQL",
"Oracle",
"Redis",
"MariaDB"
],
"messaging": [
"RabbitMQ",
"Redis Pub/Sub",
"WebSockets",
"SSE"
],
"infrastructure & devops": [
"On-prem / bare metal",
"Docker",
"Podman",
"Nginx",
"Linux",
"Jenkins",
"AWS",
"GCP",
"Azure",
"Terraform",
"HashiCorp Nomad"
],
"testing": [
"TDD",
"Jest",
"Pytest",
"Jasmine/Karma",
"Cypress"
]
} integrations
backend
frontend
architecture
ai
ml
e-commerce
mobile
databases
messaging
infrastructure & devops
testing
// lab Lab
What we build when nobody asked, so we have the answer before someone asks the question.
production-ready, lab
Voice agents
A telephone agent with two interchangeable voice engines and answers grounded in the operator's documents. Alongside it, a self-hosted voice stack (STT, LLM, TTS, every stage swappable) that runs fully inside the operator's perimeter, with no per-minute cost.
benchmark done
Offline document OCR
Five open-source OCR engines, each in its own container, scored on the same set of identity cards. Nothing leaves the machine. Built for KYC and onboarding flows where a document image cannot go to a third-party API.
in daily use
Agentic development
AI runners as teammates: a runner claims a ticket, writes the code on an isolated branch, runs the tests, checks the result in a real browser and returns a report for review. Nothing merges before a human approves. Thousands of tickets on our own projects so far.