Custom AI systems for sales, operations, documents, payments and content. A working version in 1 week, from $1,990.
In shortLowcoding is a small studio run by Mark Shcherbakov in Tbilisi, Georgia. We build custom AI systems and automations for sales, operations, documents, payments and content, and we replace no-code stacks like Airtable and Zapier with your own app. A first build starts at $1,990, with a fixed price agreed before we start and a working version in 1 week. Since 2020 we have built 300+ automations for 20+ companies.
AI does the routine part, people keep the decisions and the relationships. Each one below is a real system we built.
Qualified lead lists, every reply sorted, no follow-up forgotten.
UK funding broker · 57,291 → 14,620 qualified companiesEvery call transcribed and scored, missed calls called back.
NextEnergy · 5,000+ sales calls checkedForms, uploads, checks and reports that fill themselves in.
Arrenda1 · upload portal live in 1 weekPayment runs, retries, receipts and the ledger, without spreadsheets.
US legal-services company · ≈ $3M a month collectedOn-brand posts, ads and videos produced at volume, reviewed by people.
Baltoro · 22 agency clients on the platformOne system for your team and a portal for your clients, instead of five tools.
Zappyrent · used daily by ~10 account managersWe research your company and find the one process worth automating first: the job that costs the most time or the most clients.
From $1,990, with the scope and price agreed before we start. You see it working on your real processes within a week.
You own the system, the code, the data and the logins. Error alerts and a run log from day one, and we stay on to improve it if you want.




“Our consultants were spending three to five hours on every job analysis and candidate report, copying test results into ChatGPT. Mark turned that into a system.”
Kevin Mørkvig BjerringCo-founder & CEO, Atlas People“Tala plugged into our creative pipeline almost overnight. A batch of ad creatives used to take our team three days; now it ships in one morning, and our weekly output is about four times what it was.”
Zoriana KaplanianHead of Marketing, Appstero (Tala customer)“Our planning lived in Excel files: one heavy workbook per client, rebuilt every month. Mark turned that logic into a web app on Bubble, Supabase and n8n.”
Alex MaibaumFounder & CEO, Predictive SCSA first build starts at $1,990 with a fixed price agreed before work starts. Bigger systems are priced in fixed stages, so you always know the next number.
Within a week for the first result. Many of the systems on this site had a first working version in 1 to 3 weeks.
Yes. We move your data and workflows out of Airtable, Zapier, Make or Softr into one app built around your process, running in your own accounts. We build it next to your current setup and you switch over once it runs on your real data.
Yes. The system runs in your own accounts, and the code, the data and the logins are yours. It comes with documentation, so another developer or your own team can take it over.
No. We handle the design, the build and the setup. Your team only needs to tell us how the work is done today and test what we build.
Every system has error alerts and a log of each run, so problems surface before your clients notice. We fix them, and you can keep us on to keep improving it.
Whatever fits your business and the tools you already pay for: from n8n and Make to custom apps with Claude, OpenAI or Gemini inside. The tool is our problem, the result is yours.
Tbilisi, Georgia (GMT+4). We work remotely with clients in the UK, Europe and the US, and our day overlaps with European and US mornings.

Lowcoding has built automation and AI systems for startups and enterprise teams since 2020. Mark Shcherbakov leads every project and writes the code, with AI agents doing the routine parts, so you talk directly to the person who builds your system.
Based in Tbilisi (GMT+4), so we overlap with both EU and US mornings.
Leave your work email. We'll research your company and send a short report: your main process, where it leaks, and what an AI-first version of it looks like.