Experienced engineering for complex software problems.
From custom applications and backend infrastructure to integrations and AI adoption, Citadel Ten helps businesses build software and put AI to work in ways that are reliable, maintainable, and designed for real-world use.
Discuss your projectCustom software development
Software designed around how your business actually works, instead of forcing your business to fit generic tools.
Off-the-shelf products work until the workarounds pile up: duplicate data entry, spreadsheets holding a process together, tools that almost fit. We design and build applications around your requirements, connect them to the systems you already rely on, and keep them maintainable as your needs change.
Typical work
- Custom web applications
- Internal business tools
- Backend services
- API development
- Data-driven applications
- Software integrations
Backend systems & architecture
The part of software most people never see, and the part that decides whether it holds up. It’s where our experience runs deepest.
We design and build backend systems that stay dependable as traffic, data, and complexity grow: well-defined APIs, sound data models, and services that handle failure gracefully. Just as important, we keep the code clear enough for your team to reason about long after the first release.
Technical focus
- Kotlin, Java, and Spring Boot
- Distributed system design
- Kafka and event-driven architecture
- PostgreSQL and data modeling
- API design and integration
- Asynchronous processing and workflow orchestration
- Reliability, performance, and maintainability
AI adoption & automation
Put AI to work in your business.
From choosing the right tools to integrating AI into everyday workflows, we help businesses move beyond experimentation and start using AI in practical, productive ways.
If you know AI could help your company but aren’t sure where to start, start with a conversation. We’ll look at how your team works today, focus on the tasks where AI can genuinely help, and keep your data and your people in control.
How we help
- Opportunity assessment
- We review your existing workflows and identify where AI can genuinely help, and where it isn’t the right fit.
- Choosing the right tools
- We help you select AI tools that fit your work, budget, and data requirements, then configure them properly.
- Team onboarding & training
- Practical, hands-on training so your employees can use AI confidently in their day-to-day work.
- Reusable workflows
- We turn what works into repeatable AI workflows and internal processes your whole team can follow.
- Responsible adoption
- Clear guidelines for data privacy and human oversight, so sensitive information stays protected and people stay in charge of important decisions.
- Custom integrations & automation
- Where off-the-shelf tools fall short, we build what’s missing: AI features in your software and internal tools, document and data processing, and automated workflows.
Technical consulting & modernization
Focused help for existing software that needs to become more reliable, faster, or easier to change.
Through select engagements, we work alongside your team on a defined problem: reviewing an architecture, stabilizing a backend, untangling an integration, or planning a path off a legacy system without disrupting the business that depends on it.
Typical engagements
- Architecture reviews
- Backend reliability improvements
- Legacy system modernization
- Integration challenges
- Development workflow improvements
- Testing strategy and integration testing
- Performance and scalability improvements
How we work
Three stages, scaled to the size of the project. Never more process than the work needs.
Understand
We begin with the business problem: your existing systems, requirements, and constraints.
Design
We identify a pragmatic technical approach, building on the technology you already have where it makes sense, and define a scope that fits the problem.
Build
We implement, test, and deliver maintainable software, with attention to reliability and long-term usefulness.
Let’s build something useful.
Tell us about the system you’re building, the problem you’re trying to solve, or where you think AI could help. If we’re a good fit, we’ll suggest a sensible next step. If we’re not, we’ll say so.
Discuss your projectA few sentences about the problem, what exists today, and your timeline is plenty to start.