Invoice processing
Auto-recognition of incoming PDF / email / e-invoices, push to accounting (QuickBooks, Xero, Zoho), categorisation, approval workflow. ROI: 1-3 months.
AI agents and integrations built in your own Python codebase. LangChain + LangGraph + FastAPI + Temporal - production-grade, monitored, version-controlled agentic systems. We don't sell no-code platforms; we deliver scalable, audit-ready software. ROI typically 3-9 months.
Proud to work with leading companies
Eight concrete use cases we ship for almost every client. The full list is longer - these have the fastest payback.
Auto-recognition of incoming PDF / email / e-invoices, push to accounting (QuickBooks, Xero, Zoho), categorisation, approval workflow. ROI: 1-3 months.
Web form → CRM (HubSpot, Pipedrive, Salesforce), lead scoring, automatic sales rep assignment, follow-up email sequence. Slack / Teams notifications.
E-commerce → ERP → accounting, or CRM → email marketing → support - any combination. Two-way or multi-way sync with error handling.
Auto-recognition, classification, and key data extraction from contracts, reports, invoices, orders. AI-powered understanding, not just OCR.
Inbound ticket classification, basic Q&A via RAG-based chatbot, escalation to human agent when needed. Reduces support volume by 40-60%.
Auto-aggregation of data (ERP, GA4, ad platforms, CRM), weekly / monthly executive reports. Power BI / Metabase / Looker dashboards.
New hire: auto-provisioning of accesses (Google Workspace, Slack, GitHub, ERP), equipment requests, training scheduling. Reverse on departure.
We do not sell no-code platforms. Flows are written in Python with LangChain / LangGraph, behind FastAPI, running on Temporal or Celery. Versioned, unit-tested, observable - exactly like any other enterprise application. For long-running, decision-heavy, audit-bound processes.
Meticulous planning, seamless execution, and creative problem-solving -- that's how we achieve remarkable results.
No cookie-cutter solutions here. We map out your business goals, market landscape, and competition, then build a strategy designed to deliver measurable results.
No cookie-cutter solutions here. We map out your business goals, market landscape, and competition, then build a strategy designed to deliver measurable results.
No cookie-cutter solutions here. We map out your business goals, market landscape, and competition, then build a strategy designed to deliver measurable results.
Wireframes, prototypes, and UI/UX designs built on real user insights. Every click, every layout is engineered to maximize conversions and engagement.
Wireframes, prototypes, and UI/UX designs built on real user insights. Every click, every layout is engineered to maximize conversions and engagement.
Wireframes, prototypes, and UI/UX designs built on real user insights. Every click, every layout is engineered to maximize conversions and engagement.
Agile development with cutting-edge technologies, weekly demos, and full transparency. You'll always know exactly where your project stands.
Agile development with cutting-edge technologies, weekly demos, and full transparency. You'll always know exactly where your project stands.
Agile development with cutting-edge technologies, weekly demos, and full transparency. You'll always know exactly where your project stands.
Automated and manual testing across every platform and browser. Nothing goes live until it's been tested to the breaking point and passed with flying colors.
Automated and manual testing across every platform and browser. Nothing goes live until it's been tested to the breaking point and passed with flying colors.
Automated and manual testing across every platform and browser. Nothing goes live until it's been tested to the breaking point and passed with flying colors.
Launch day is just the beginning. Monitoring, performance optimization, and ongoing support ensure your solution gets better every single day.
Launch day is just the beginning. Monitoring, performance optimization, and ongoing support ensure your solution gets better every single day.
Launch day is just the beginning. Monitoring, performance optimization, and ongoing support ensure your solution gets better every single day.
We don't favour one tool. We pick the right tool for the job - often 2-3 tools in a single project.
Our primary agentic stack. Multi-step, state-machine-modelled agent flows. Tool-calling, retrievers, memory - all in code, tested, traced via LangSmith / Langfuse.
The automation layer's API. Typed input/output with validation. CI/CD-integrated, deployed on Docker / Kubernetes. Scalable and observable.
Orchestration for long-running, retry-heavy flows. Idempotent tasks, exponential backoff, durable execution - built for production.
Autonomous agents for complex tasks: quote generation, customer classification, document analysis, research agents. In your own Python codebase, not on a no-code platform.
Structured extraction of invoices, contracts, forms. Output validated by an LLM, edge cases routed to human review.
For legacy, API-less systems (SAP GUI, banking terminals) - once an API opens up, we replace it. We treat RPA as a transitional solution, not a target.
What AI can do, how to integrate it, what to comply with - and how to keep your data on-prem.
Document automation
Incoming invoices, contracts, POs processed automatically with OCR + LLM extraction.
AI agents (agentic workflow)
Multi-step decision flows: email analysis → CRM update → reply draft → human approval → send.
Natural-language triggers
User describes the goal in plain English ("send weekly report on B-tier leads"), and the automation is built.
Self-healing flows
When an automation breaks, AI tries to interpret the error and propose a fix / retry.
LangChain + LangGraph + FastAPI
Python-based agentic stack - your own codebase, versioned, unit-testable, monitored. Long-running flows on Temporal or Celery + Redis. Not a no-code platform: an enterprise-grade codebase.
Hybrid model
Deterministic steps where you need them (math, integration), AI where interpretation or judgement matters.
Audit log
Every agent decision, prompt, and output replayable - required in regulated industries.
GDPR
Personal data is processed only on a documented legal basis. Data minimisation, purpose limitation, and audit trail enforced by design.
EU AI Act
Risk-based classification of every AI use case (minimal / limited / high risk). Mandatory transparency, human oversight, and CE-style conformity for high-risk systems.
NIS2
In essential and important sectors AI must follow security-by-design: access control, logging, incident reporting, supply-chain risk for any model provider.
ISO 27001 / SOC 2
When required: ISO 27001 / SOC 2-aligned controls, including key management, RBAC, audit, vulnerability management.
Ollama / llama.cpp
Open-weight models (Llama 3.x, Mistral, Qwen, Gemma) running on your own GPU server or even CPU. Zero data sent to third parties.
vLLM / TGI
Production-grade inference servers for self-hosted endpoints. Concurrent users, streaming, function calling supported.
Sovereign cloud
For organisations without on-prem GPU: deployment on EU / Hungarian sovereign cloud (e.g. dedicated tenant), with data residency contracts.
Hybrid
Sensitive content always local; for non-sensitive batch tasks frontier models (Claude, GPT) via DPA-backed API where allowed.
No training on your data
Whether self-hosted or vendor API, we contractually exclude your data from any training set.
PII redaction before prompt
Automatic PII detection and masking before any prompt leaves your perimeter - pseudonymisation as a hard rule.
Per-role access
Every AI surface uses your existing IAM (Entra ID / Keycloak / Okta) - the AI only sees what the user is allowed to see.
Full audit
Every prompt, response, and tool call logged with user, time, and source - replayable on demand.
A Python + LangChain agentic stack rarely stands alone - it is part of a wider back-office or integration project.
The most common pattern: automation reads customer history from a CRM and works against financial data in a custom ERP. Inbound documents generate ERP orders and CRM activities.
When data has to be pulled from / written to many systems, a system integration layer is the foundation. For NIS2-scope organisations, the entire flow lives under a NIS2-compliant architecture.
Go deeper - practical guides and industry insights.
Artificial intelligence for business in 2026: how to integrate AI, what it costs, what it returns. AI agents, chatbots, automation, EU AI Act, measurable business ROI.
Read more →AI chatbot, n8n workflow, or custom AI agent - which one fits your business? A practical 2026 comparison with pricing, capabilities, real-world examples and decision matrix.
Read more →ChatGPT for Hungarian business 2026: how to integrate ChatGPT (and other LLMs) into corporate workflows. Pricing, GDPR, EU AI Act, Hungarian-language quality, real examples.
Read more →You might also want - different angles of the same digital transformation.
Enterprise resource planning as a SAP / Dynamics / NetSuite alternative - no per-user licence.
Learn more →Enterprise CRM as a Salesforce alternative - AI lead scoring, pipeline assistant, fully custom-coded.
Learn more →ERP ↔ CRM ↔ shop ↔ bank ↔ tax - custom Python integration layer, not a rented iPaaS.
Learn more →SMB and enterprise digitisation roadmap - 6 phases, 6 pillars, real ROI numbers.
Learn more →Tell us about your project and we'll respond within 24 hours!
Book a free 30-minute consultation where we discuss the details of your project.
Book a Call