Customer support chatbot
Web chat that knows your product catalog, prices, and policies. Answers 24/7, only hands off to a colleague when it really has to.
Six service groups, each tied to measurable returns on your processes. Scroll through — you'll find one that fits your situation.
A 24/7 assistant that knows your products and your house rules, and only hands off to a colleague when it really needs to.
Web chat, mobile app, phone voice agent — whichever channel the question comes in on, it gets the same knowledge back. Product, price, opening hours, FAQ, even appointment booking or order taking — set it up however you want.
Not an off-the-shelf chatbot. Built on your knowledge, your data: website, documents, internal knowledge base. It only escalates to a human where emotional or legal nuance demands it. GDPR and high-quality Hungarian language are baseline, not extras.
Web chat that knows your product catalog, prices, and policies. Answers 24/7, only hands off to a colleague when it really has to.
Password resets, software issues, access requests. Takes load off the IT team and measurably cuts ticket counts.
"Tell me how I can help" — and it actually understands what you're asking. By phone, in Hungarian, with natural speech.
Qualifies inbound leads, builds an enriched lead list, books calendar slots straight onto the sales team's diary.
The repetitive grind: invoice processing, lead handling, data sync, reporting. We carve hours out of every week without forcing you to replace your existing tools.
Repetitive tasks drain your team's energy and leave room for human error. We take the repetitive parts: inbound request triage, data cleansing, report generation, deadline tracking. You focus on the remaining 20% — the part that actually needs expert judgement.
We don't replace tools. n8n, Make, or custom code — whatever works, as long as it runs through your existing systems. Shopify, SAP, Microsoft 365, HubSpot, Salesforce, Slack, any REST/GraphQL API. You see the first result within a week.
Inbound invoices read automatically (PDF, image, email), data extracted, validated, and posted into the accounting system. You also get an error log.
Automatic categorisation of inbound mail, urgency tagging, and template-reply generation for the recurring types.
Webform leads handled automatically, enriched (company, size, industry), prioritised, and routed to the right salesperson.
Old system → new platform; or two active systems kept aligned. Fault tolerance, validation, audit log.
Product copy, SEO, recommendations, Shopify sync with the rest of your stack. For shops that have outgrown the "one person handles it" stage.
As a webshop owner you know the feeling: the catalog grows, customer-service emails pile up, SEO slips. AI helps where one person can't scale anymore. Product copy generation, image optimisation, abandoned-cart recovery, review summarisation — across thousands of SKUs at once.
Not a generic "AI for your shop" package. Each piece is tied to a concrete business outcome: conversion, AOV, customer-service load. Free first audit — we look at what's slowest in your shop and start there.
Two hours: we walk through your shop with AI-eyes. What could be automated, where you're losing conversion, what we'd speed up first.
Unique, persuasive, SEO-optimised descriptions for every product. Multiple variants, A/B tests, tuned to your brand voice.
Titles, meta descriptions, image alt text, category-page intros — automatic, aligned with your keyword strategy.
Background removal, size standardisation, lifestyle-photo generation from existing product shots. A consistent visual identity.
When the off-the-shelf option isn't enough. Document analysis, image recognition, predictive models — fitted to your exact process, trained on your data.
Some tasks have no ready-made software. A custom product configurator, industry-specific document analysis, a predictive model trained on your data. That's when custom development is needed — specification, prototype, integration, deployment, and operation from one place.
We don't just train models. We build the full pipeline: data ingestion, preprocessing, model selection, fine-tuning, evaluation, monitoring. Every step is measurable, every result is traceable. RAG, fine-tuning, classical ML — we use whatever fits the task.
Demand, churn, or fault prediction on your own data. Explainable models, so you can see why the call was made.
An AI that answers from your company's documents (regulations, product info, internal policies). Source citations on every answer.
Defect detection on the production line, product classification, packaging checks. From a camera or an uploaded image.
Industry-specific forms, handwritten notes, historical documents — extracted as structured data.
Once it's live, someone has to watch it. Monitoring, fine-tuning, model updates, and the occasional "why is it doing that?" moment. We handle it.
Once an AI system is in production, the next question is: who maintains it? Models age, data shifts, requirements grow. If you don't pay attention, accuracy drifts down within months. We take that on: monitoring, retraining, fine-tuning, and overall system health.
Not black-box operations. Monthly/quarterly reports, metrics, availability, error logs — everything is transparent. Aligned with SLA tiers depending on how business-critical the system is.
Real-time alerts on API errors, accuracy drift, response-time degradation, anomalous input — before customers notice.
Retraining on new data, prompt fine-tuning, model-version swaps — validated in staging and rolled out gradually in production.
Quarterly vulnerability reviews: prompt injection, data leaks, access control, logging. GDPR compliance included.
Hungarian-language support for your team: how to use it, what an error means, how to adjust behaviour. SLA-based response times.
Don't know where to start? We sit down with you, walk through the processes, and tell you straight where AI would pay off — and where it wouldn't.
AI doesn't pay off everywhere. Sometimes classical automation is faster and cheaper. Sometimes the process is regulated tightly enough that human review is required. The point of consulting is to figure that out — together, openly, without an agenda.
Industry-agnostic, vendor-neutral perspective. We don't say "build it with us" — often the answer is "buy this SaaS, this is the monthly cost, here's how we'd integrate it". Or: "don't spend on this right now". Recommendations are always specific, with numbers.
Two days, a six-month picture: where to start, what data is missing, what skills you need on the team. With concrete next steps.
A focused one-week review of the target workflow, measuring the pain points and quantifying the return potential.
Build in-house or buy an off-the-shelf SaaS? Cost, control, and scalability analysis, with risks called out.
LLM, infra, integrator — independent help to pick the option that fits your situation from the 3-5 best candidates.
Got an idea, a project, or just want to figure out whether AI would be worth it for you? Book a free 30-minute call — we listen, we ask, and we tell you straight what's worth starting. Even if the answer is "not yet".