Bespoke engineering
Custom software development
We build custom software for teams that have outgrown off-the-shelf tools and need a bespoke system — one that integrates with their real workflow, handles their real data, and is designed from day one to hand off to AI agents as the business matures.
Why teams hire a custom software development agency
Off-the-shelf tools stop fitting at exactly the point where your workflow becomes a differentiator. That is the moment a custom build earns its cost — not before. QwertyBit builds bespoke software for teams that have hit that wall, and for founders building products where the software itself is the company.
The systems we build
- Bespoke web applications — operational tools, internal platforms, customer portals. See our marketing attribution platform — a custom pipeline that replaced five stitched-together SaaS tools.
- APIs and integrations — webhook routers, data pipelines, third-party system glue. Our KYC compliance platform is a bespoke API layer that sits between a regulated fintech and its downstream systems.
- Data and analytics platforms — custom dashboards, ETL pipelines, anomaly-detection systems. We built a document automation system that processes hundreds of PDFs per day for a real-estate firm.
- AI-ready product infrastructure — when you know agents are part of the roadmap, the architecture is shaped from day one to expose the right hooks.
- Mobile applications — React Native and native iOS/Android, shipped to the stores.
Why our clients choose us
- Senior-only team. Every engagement is run by engineers with 5+ years of shipped production work. The founder is personally on every build.
- Transparent delivery. Every line of code lives in GitHub from commit one. Every issue lives in Linear. You see what was built, when, and how much it cost — in the tool, not in a quarterly report.
- Fixed-price milestones. No hourly billing. Each milestone has a price, a scope, and a done line. If we go over, that's our problem.
- AI-native from the start. We build the software so that adding agents later is additive — not a rewrite. That is rare in custom shops and it matters if AI is on your roadmap.
Our core stack
- Python for data, AI, and backend services where ecosystem matters.
- Node.js for real-time APIs and web backends.
- PostgreSQL as the default operational database.
- React / Next.js / React Native for web and mobile frontends.
- GitHub for version control, PR reviews, and CI from day one.
We do not chase every new framework. We use the boring reliable tools that we can hand off to your team, and we bring AI integration in where it actually saves work — see our AI agent development and LLM integration services for the agent-shaped parts.
How to start
Book a scoping call with the founder. Bring one problem — a workflow that does not fit a SaaS tool, a product idea that needs a technical partner, a legacy system that is slowing your team down. We will tell you within a week whether a custom build is the right shape of solution and what it would cost.
Built with
Agent engineering
Python
QwertyBit builds production Python agent pipelines, evaluation harnesses, fine-tuning workflows, and data engineering — with strict typing, tested CI, and observability from the first commit.
Backend & APIs
Node.js
QwertyBit builds production Node.js backends and APIs for customer-facing apps, webhook routing, and real-time agent integrations — with TypeScript, strict mode, and validation on every public surface.
Version control & CI
GitHub
QwertyBit ships every line of code to your GitHub from commit one — transparent delivery, PR reviews, CI, and no vendor lock-in. Custom software engineering that your team inherits cleanly.
Related case studies
Data analytics & marketing
Marketing attribution & funnel-anomaly agents
Anomaly detection window from days to under 15 minutes
Fintech
KYC pre-check & compliance-aware LLM workflows
Average onboarding time reduced by 64%
Real estate development
Document automation for real estate
90% reduction in manual document review
Services FAQ
What business owners ask before signing
Custom wins when (a) the workflow is a differentiator, not a commodity; (b) your data model does not fit SaaS assumptions without painful workarounds; (c) you need deep integration with other internal systems; (d) you plan to automate the workflow with AI agents later — custom architecture gives agents the hooks SaaS does not expose. If none of these apply, buy the SaaS.
Ready to see where agents can take cost out of your business?
Tell us about the process you want to optimise. Vlad personally reviews every brief and replies within one business day.