DKDawid Kawiński
ORCA · my AI company

I started with one VPS
Today I run my own cloud and a hundred-plus agents

This is not a story about technology. It is a story about a CEO of a contracting company who stopped waiting for an IT department he never had, and built the tools he now sells to other CEOs.

01

One webhook at three in the morning

I rented the first server so that a lead from a Facebook ad would not wait until morning. One script, one address, zero DevOps knowledge. It worked. Then came a subsidy calculator that does what a salesperson used to do in their head, and a gateway to language models that every request from my agents passes through today.

start · first VPS · lead webhook · subsidy calculator
02

Subscriptions cost more than my own iron

At some point I added up what I was paying for other people’s tools that did not understand my business anyway. Building my own came out cheaper. A GPU server in the office does the heavy lifting. A separate machine takes research waves of several dozen agents at once. Everything is tied together by a private, encrypted network that no key ever crosses in plain text.

then · GPU server · agent farm · private network
03

What works for me, I deploy for you

System ORCA now runs leads, quotes, fund settlements and public tenders in my companies. Over a thousand commits since April 2026. Waves of 48 and 55 tasks without a single failure. Only then did I start selling it. The rule is simple: if I don’t use it in my own production, I won’t deploy it for a client.

today · System ORCA · 100+ agents · ORCA clients
what’s in it for you

Four things every CEO cares about

Time

An agent reads tender specifications, triages email and drafts offers overnight. In the morning your team gets a short list, not a pile.

Money

The cost of one analysis is counted in cents, not salaries. Model routing and limits make the AI bill predictable to the last euro.

Control

Models, data and logs on servers you know. No vendor changes your pricing or switches off a feature mid-quarter.

Security

An agent gets only the data it needs for the task, secrets never enter prompts, and every decision to send, pay or sign is made by a human.

Cloud VPSthe fleet’s brain

Public services, calculators, webhooks, the LiteLLM gateway, agent memory on Postgres. Runs 24/7.

GPU serverthe muscle

My own machine in the office: embeddings, indexing, local models, heavy jobs not worth paying the cloud for.

Agent farmthroughput

A separate server for research and test waves. A router splits work by capacity, a supervisor watches, a watchdog wakes.

Private networksecurity

Encrypted tunnels between machines, access only from trusted devices, secrets kept away from agents, backups and logs of every deployment.

what I actually built
System ORCAleads, CPQ, Client 360, regional-fund settlements, finance from enova365, tenders, DTH Academy (442 documents)
Fleet of 100+ agentssupervisor, watchdog, LiteLLM gateway, own search and crawling
CEO Assistantmorning briefing, email triage, commitments, inside Teams and Outlook
Lead engineMeta Graph API, Lead Ads forms, 24/7 webhook, campaign monitoring
Tender workermonitors the public procurement bulletin and purchasing platforms, summarises specs, scores pursue / evaluate / decline
Clean Air rules enginethe programme’s formal rules in code, powering the PanDotacja calculators
AI video pipelinecloned voice, video generators, scripts for Reels
My own cloudVPS, GPU server, agent farm, Tailscale, Postgres with pgvector
Claude CodeCodexLiteLLMn8npgvectorDockerCaddyTailscaleWireGuardHetznerPostgresPythonNodeenova365 APIMicrosoft GraphMeta Marketing APIElevenLabsPlaywright

Efficient, but secure

I look for solutions that speed up work, but not at the expense of client data or sleep. Speed without control is debt someone will eventually repay. So every system I build follows the same rules.

  • Data minimisation and GDPR. An agent gets only what it needs for the task. Nothing more.
  • Secrets stay out of agents. Keys and passwords live in a vault on the server, never in prompts, chats or notes.
  • A human decides. The machine prepares, summarises and proposes. Sending, paying, signing is always a human decision.
  • Logs and auditability. Every deployment has a backup, a test before and a check after. We know who changed what, and when.
  • Trusted devices and encrypted tunnels. The network is entered only from devices I know. Nothing hangs open on the internet without a reason.
  • Model cost control. Routing, limits and usage metering. Efficiency is also a bill you can predict.
not for everyone

If a company has no repeatable process, AI will not create one

Process first, agent second. That is why I start with an audit: a list of processes, what to automate, what to leave to people and what it costs. The audit price is fixed up front, not “after a call”. If after 20 minutes I conclude I cannot help, I will say so and point you to someone who can.

Book a call orca.org.pl I reply personally, usually within 48 hours. No sales rep.
next step

Next Wednesday is open

Twenty minutes about your company: cash flow, subsidies, AI or entering a new market. If after the call I conclude I cannot help, I will say so and point you to someone who can.

dawid@kawinski.org