Custom software used to cost a fortune. It used to take eighteen months. That ended last year.
We build custom software for industrial operators — manufacturing, logistics, food, energy — at the price of an off-the-shelf SaaS subscription, shipped in weeks, not quarters.
AI didn't just make software better. It made it cheaper to build.
For thirty years, custom software was a Fortune 500 product. Not because the code was hard — because the people were expensive, slow, and scarce. An operation that wanted a system built around its actual processes had three choices: pay a consultancy €500,000 and wait a year; force its workflow into an off-the-shelf ERP module; or live with spreadsheets.
That equation broke. Quietly. In 2024.
The largest consultancies have not adjusted their pricing. We have.
AI didn't just make software better. It made it cheaper to build.
The largest consultancies have not adjusted their pricing. We have.
- 0115–25%production cost reduction potential from GenAI in large-scale plant engineering
- 02$3.78Tannual value generative AI could add to manufacturing and supply chains globally
- 0355% vs 20%AI adoption: large EU enterprises vs. average — the mid-market gap
- 042–3×faster delivery: AI-accelerated teams ship MVPs in 2–3 months vs. 6 months traditional
- 058%of SAP S/4HANA migrations complete on schedule
This is what custom software used to look like.
This is what it looks like in 2026.
30% over budget. 30% late. And after eighteen months, you got a system that mostly works. Mostly.
The work didn't get easier. The work got cheaper. We pass the difference to you.
This is what custom software used to look like.
This is what it looks like in 2026.
30% over budget. 30% late. After eighteen months, a system that mostly works. Mostly.
The work didn't get easier. It got cheaper. We pass the difference to you.
Compliance software that would have cost €200,000. Shipped in seven days.
NIS2 covers most industrial operators from 50 employees up — manufacturing, energy, transport, food, digital infrastructure. Fines reach €10 million or 2% of global turnover, with personal liability for management bodies. We built TailoredGuard.ai — a continuous-monitoring app watching 617 NIS2 control points across an organisation, generating audit-ready reports and flagging drift in real time — in one working week.
When the off-the-shelf system stops fitting, build.
A logistics operation with over 100 vehicles was paying monthly licences for a generic fleet SaaS that didn't track the three KPIs that actually mattered. We replaced the SaaS with a custom system built around their actual ops — in under six weeks. The monthly bill is now an internal cost line.
Your compliance officer, but it reads every label automatically.
A food producer was checking packaging labels against EU 1169/2011, country-specific allergen rules, and customer-specific contract requirements — manually, in Excel. We built a labels-management system with AI inspection that reads every artwork file, checks it against the current regulation set, and flags discrepancies before print.
An entire industry's data, aggregated, in less time than a procurement cycle.
Pumly.ai is an AI-aggregated database covering the Polish housing industry — products, suppliers, specifications, pricing, regulatory metadata. The kind of asset that, ten years ago, would have been a five-year crowdsourcing project. We assembled it, end-to-end, in days.
An AI-assisted planning system for production lines. Live in under a month.
A bottling operation was scheduling production lines, product switches and maintenance windows in spreadsheets — re-planned by hand every time an order shifted. We built TailoredPlan: a planning system that turns plan items into tasks, suggests assignments across lines with AI, accounts for switch times and throughput, and shows a real-time cockpit of what every line is doing right now. Designed, built and deployed in under a month.
We don't sell AI. We sell things that work.
Here is what to ask us for, in the words you already use:
If the shape of the work above looks like a real problem in your operation, we can build it. We do not need a five-page brief. A 30-minute call is enough to scope.
Frontier models drop every week. Wait a quarter and you're a generation behind.
Agentic AI went from research demo to production tooling in under two years. Every quarter, the baseline of what's possible — and what your competitors already ship — moves again. The gap between adopters and observers is compounding.
Frontier models drop every week. Wait a quarter and you're a generation behind.
Agentic AI went from demo to production in under two years. The baseline moves every quarter. The gap between adopters and observers compounds.
- Nov 2022ChatGPT launches; LLMs enter the mainstream
- Mar 2023GPT-4: first reliably useful coding & reasoning model
- 2024Agent frameworks ship — tools, memory, multi-step workflows
- 2025Coding agents write production code end-to-end
- Now · YOU ARE HERECustom software built in weeks, not quarters
- NextTeams without AI leverage fall a release cycle behind every quarter
A small Polish studio. Founders who ship. No agency layer.
We are TailoredByte — a Poland-based, AI-native software studio founded in 2024 by a team of young business leaders and senior engineers who got tired of watching consultancies bill €500,000 for systems we could ship in a month.
On the business side, the studio is led by founders with finance and operating backgrounds who have built and sold companies before. On the technical side, by our CTO Konrad Pawlus, a startup veteran. We work directly with founders, COOs, CFOs, and ops leaders — never through a procurement layer. We ship globally, serving industrial operators, manufacturers, and regulated businesses across multiple continents. You own the code, you choose the region — EU, US, or your own cloud — with no offshore handoff and no five-year roadmap.
There is a 30-minute call, a written scope, a fixed price, and a working system in your hands within 3 weeks.
No pricing pages. No sales sequence. One call, a written scope, a yes or a no.