A personal AI operator organizes documents, analyzes indicated sources and prepares materials for decisions. It runs on your infrastructure, with agreed tools and permissions.
An AI agent who works on a board member's computer.
Kuba Koziej, CEO of MoreGrowth and board member of Natu.Care, worked in several separate tools. Each of them started from scratch. We built him one agent that remembers the arrangements, works on his hardware and asks for consent before every move that cannot be undone.
less switching between tools per day (estimate)
1–2 hours
less switching between tools per day (estimate)
irreversible actions without the owner's consent
0
irreversible actions without the owner's consent
Estimates based on work with the client. Last checked: October 22, 2026.
Statistics: How much time does the personal AI agent give up?
According to the jaktako.design studio, the agent shortened the search for new clients from 4 hours to 30 minutes a day. With a MoreGrowth executive, the agent saves 1-2 hours a day switching between tools (estimate).
According to the jaktako.design studio, after 1:1 training, searching for new clients takes 30 minutes a day instead of 4 hours.
According to the Central Statistical Office (September 2026), an hour of work costs the company PLN 66.45 including employer's contributions.
According to the Central Statistical Office (2026), 39.8% of Poles aged 16-74 already use AI tools.
01The number of data sources, accounts and integrations the operator handles
02The scope of autonomy and the level of boundaries and approvals
03Security and trace requirements on your infrastructure
„Why should I trust you?”
Because the system is built by engineers with over 22 years of experience.
You talk to people who then write code. They have worked in large companies and built systems that operate under high traffic.
You won't spend money on a prototype that won't do anything.
First a free conversation, then a free prototype in your trial. If we don't see a return, we don't build and write it straight. You only pay for a system that makes sense.
Polish-Ukrainian team of engineers.
Artem, Przemek and Piotr studied computer science together at the Lublin University of Technology in 2017–2021. Artem and Serhii founded Syntalith together. They both come from Kiev and have been living in Poland for years. We build systems for Polish companies, in Polish and according to Polish law.
The band's career over the years
2017–2021: Artem, Przemek and Piotr study computer science together at the Lublin University of Technology.
201820192020202120222023202420252026
Serhii Ivanchatenko7+ years · LinkedIn ↗CRM and PLM systems for global companies
Artem Lisovtsov6+ years · LinkedIn ↗from backend to AI architecture
Przemysław Markiewicz5+ years · LinkedIn ↗GenAI team technical lead
Piotr Łach4 years · LinkedIn ↗backend and RAG in high-traffic systems
What our OpenAI and Anthropic partnerships mean for you.
OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.
Claude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.
Participation in programs does not mean that OpenAI or Anthropic endorses our services.
Let's talk
Just write, call or choose a date.
We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.
We will accept 3 more companies by the end of the year.
Founders, executives, and operators who have recurring work worth handing off and need a personal operator on their own infrastructure. If the same work doesn't return regularly or there's no decision owner, we'll say so at the review.
Where is my data stored?
Your documents and inbox stay in your environment. Model inference uses either an API agreement that excludes training on your data or a model running on your infrastructure. For personal data, we sign a GDPR data processing agreement, grant minimum permissions, and limit access to assigned engineers. We choose the setup during scoping.
How is this different from a consumer browser or phone assistant?
A consumer assistant answers what you ask it and starts from zero every chat. A personal operator runs recurring work without being asked, on your data and within your boundaries, with a trace of every action.
What does delivery look like and how long does it take?
We start with the free process review, where we settle the clearly defined scope, the sources and the boundaries. The first narrow scope usually takes a few weeks; a full operator with many sources and tasks is split into further stages, quoted separately.
How much does it cost?
The first narrow scope starts at €600 net. Price follows the data sources, integrations, and operator tasks. You get a fixed quote after reviewing the data, integrations and requirements, with the full range on the pricing page.
What if it doesn't make sense in our process?
We state that in the review summary. If an automation or a tool you already own can handle the work, we recommend that lower-cost option.
What happens after I book, and who is accountable?
You spend 30 minutes discussing the process with an engineer. Within 2 business days, you receive a written summary: what that work costs you today, what to hand to the agent first and from what price.
What our OpenAI and Anthropic partnerships mean for you.
OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.
Claude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.
Participation in programs does not mean that OpenAI or Anthropic endorses our services.
executive work
