Use case & feasibility
We find where AI truly adds value and set cost and accuracy expectations up front.
AI Products
Turning AI into real products
We turn AI ideas stuck at the demo stage into reliable, measurable tools people use every day.
Who is it for?
- Start-ups with an AI-powered product idea
- Companies automating repetitive work
- Teams adding AI features to an existing product
- Organisations that need local / offline AI for privacy reasons
What we do
LLM integrations
Assistants, summarisation, classification and content generation.
Search over your documents
Assistants that answer from your internal documents, with sources.
Vision & text processing
Capturing text from screens and images, translation and analysis.
Local / offline models
Solutions where data never leaves the device and no internet is required.
Automations
AI-driven automation of form, email and document workflows.
AI Products
Early Access AI · Desktop Software
Quick Translate Engine
A desktop translator that turns on-screen subtitles, in-game chat or text in images into your language with one key, including an offline mode.
Offline modeLive subtitle translation16 languages
View project How we work
- 01
We listen
We talk about what you want to build, who it is for and what success looks like for you. No technical knowledge needed.
Output Scope notes
- 02
We plan
We prioritise features and decide together what goes into version one, then prepare a phased timeline and proposal.
Output Roadmap & proposal
- 03
We design
Screen flows and interface design, or a playable prototype for games. You see how the product feels before code is written.
Output Design / prototype
- 04
We build
We build the product piece by piece and share working versions at regular intervals, so you always know where things stand.
Output Working builds
- 05
We test
We test across devices, browsers and scenarios, and tune balance with playtests for games.
Output Release candidate
- 06
We launch
We set up domain, hosting, store pages (Steam, Google Play, App Store) and analytics, then go live. After that, we can keep growing it together.
Output Live product
Will my data be shared with AI providers?
We choose the architecture based on how sensitive your data is. For sensitive data, models can run on-device or on your own servers; otherwise API configurations that do not retain data can be used. We make this decision with you at the start.
Do you use off-the-shelf AI services or custom models?
For most products, integrating existing models well is the fastest and most economical path. Training a custom model makes sense when there is enough data and a clear benefit.
Can you add AI features to my existing product?
Yes. We review your product, identify where AI adds the most value and integrate that feature.
New project
Got an idea?
Let's build it together.
Describe your project in a few sentences. We'll shape the scope, the timeline and the right first step for your budget together.