Faster customer replies
Support assistants, internal knowledge bases, or customer portals that answer from your own documents.
Less waiting, more consistent answers.
MPTR — since 2015
Web, native mobile, backend, operations, and AI under one roof. Since 2015, the rule has been simple: whoever builds it also runs it.
Ten years — their trust is our benchmark
Innovation for small and medium businesses
If you can feel your company could move faster, but you do not want a technology detour, we start here: one workflow where software or AI first removes real time from the day.
After the first conversation, you should not leave with buzzwords.
You should leave with 1-2 concrete next steps: what is worth automating, what is not, which data is needed, and roughly what cost range to expect.
Support assistants, internal knowledge bases, or customer portals that answer from your own documents.
Less waiting, more consistent answers.
Connect quotes, invoice data, documents, emails, and reports with human checkpoints where they matter.
Your team stops spending the day copy-pasting.
Turn old files, contracts, manuals, and CRM data into knowledge people can actually find.
Knowledge no longer lives only with whoever remembers it.
Monitoring, backups, incident response, and security basics before growth exposes weak points.
Fewer surprises in production.
Why us
A good system proves itself after launch: when traffic arrives, the business changes, or monitoring wakes somebody up at night.
That is why the same team designs, builds, and operates it. We host, monitor, patch, and fix. If you call, you do not enter a detached support process; an engineer who understands the system from inside looks at it.
AI belongs in the same operating model. It is not a side demo, but another product surface with data, permissions, cost, failure modes, and security. If we do it right, the system removes work instead of creating more.
What we do
UI, mobile, web, backend. Hand-written code. Plenty of teams can write software. Fewer write software that's pleasant to use and still calm on day one of production. That's the bar.
If we built it, we run it. No separate 'support' team taking over. The same engineer who wrote the code knows where the anomaly is at 2am. Obvious, yet rare.
AI we put to work, not on display. Claude and GPT in your product, or Llama 4 / Qwen3 on our own hardware. Agentic workflows with MCP, OpenClaw-based local-first agents, AI security. In live systems, not demos.
One project
Backend for streaming players: control, updates, feature requests. Continuous operation, not a one-off project.
AI in production
We do not collect AI pilots for the slide deck. RAG, copilots, agentic workflows, Claude/GPT integrations, or local models go into the product only when they remove time, errors, or manual work.
Cloud models when they fit. Local or EU-hosted models when privacy, cost, or control matters.
Scope in 5 minutes
A few questions become a short document: approach, stack, estimate band, risks. A person reviews it before it goes out.
How we work
In a week you'll understand your problem, goals, and system. In writing. Legibly.
Native mobile, modern web, your own backend. Hand-written code, planned around the systems you already have.
We don't hand off and disappear. We host, monitor, patch, and fix it. Midnight included.
Software is never done. Monthly rhythm, clear changelog, no mystery work.
Start
First call is 30 minutes, free. By the end you'll know whether working together makes sense — or whether another route is better.