01
AI assistants and chatbots
Answers grounded in approved company knowledge, with clear boundaries, source references and a path to a person when needed.
AI application development
Custom AI development for your business.
When your workflow does not fit an off-the-shelf tool, we design around the people, data and decisions already involved. From the first prototype to day-to-day operations.
Custom applications · real workflows · human oversight
From idea to everyday useOur product
- Prototype↗
- Build↗
- Operations
What we can develop
Take an idea into everyday use.
A new product idea, a team need or a customer experience can become a working application. We start with its users and check whether a custom build is justified.
02
Portals and internal apps
Customer or team interfaces with roles, data and actions suited to their work.
03
New AI-enabled products
Turn an idea into a prototype and, if it proves useful, a product with the right integrations and support.
What you receive
An application people can use and maintain.
We agree the exact scope together. These are the parts we consider in each build.
01
Working prototype
Try the main user journey before committing to the full build.
02
Application and integrations
Interfaces, roles, data and the connections that the available systems and APIs actually support.
03
Rules for AI
Define when it responds, which sources it uses, when a person must review and what gets logged.
04
Handover and operations
Role guides and a practical handover using a real task. Agree an owner, training, usage review and support terms before the build.
From idea to operations
Each stage answers a different question.
01 · Idea
Who has the problem, what happens today and which decision should improve?
02 · Prototype
Can the user complete the core journey? What can we learn before building the system?
03 · Build
Implement against acceptance criteria, access controls and tests for real exceptions.
04 · Operations
Monitor errors, API changes and AI response quality through an agreed support arrangement.
Selected work
See what we have built.
One client build and our own live products. Each example shows a different need, user experience and approach to implementation.
Client build · Anastasakis Hair Clinic
HairCare AI
A personalised daily recovery plan with reminders, CRM sync and an AI assistant bounded by the clinic’s medical protocol.
Explore the workOur product · field professionals
MastorAI
Appointments, customers, invoices and technical notes in a mobile-first application.
Explore the work
Our product · fitness
Kinerya
Workout logging, nutrition, AI coaching and a workspace for coaches in a mobile-first experience.
Explore the workCustom or existing?
Build when there is a reason to.
Existing software is often the right choice. A custom build becomes useful when a critical workflow, permission model or user experience is not adequately covered.
Before the build
We check users, data, current tools, possible integrations, operating costs and where a person needs to make the call.
Access and responsibility
We agree who manages accounts, infrastructure, code and data. Rights and limits attached to third-party APIs are documented separately.
Frequently asked questions
Before you start.
When is a custom application worth it?
When available tools cannot support the critical workflow without awkward compromises. We first check what already exists and what can be connected.
Do I need a technical specification?
No. Start with a real user, today’s process and where it stalls. The technical plan follows discovery and a prototype.
Can it connect to my CRM?
That depends on available licenses, APIs, permissions and data quality. We verify feasibility before committing to scope.
What happens after delivery?
We agree handover, access, monitoring and support. Third-party cloud and AI APIs have their own terms and costs.
Next step
What application would help your team?
Tell us who would use it, what they do today and which information or decision needs to improve.