Apps built around AI from the first line. Not a chatbot added later.
We design and build software where AI does real work: agents for your team, AI inside the apps you already run, and new web and mobile products. People stay in charge of what matters.
Engineers in Estonia, building web and mobile apps since 2009.
Screens, your data and exact calculations: prices, stock, totals.
Does what formulas and fixed rules can’t:
- reads emails, PDFs and photos
- understands what the user means
- weighs the options and drafts the next step
What AI-native means
Built around AI, not a chatbot bolted on
Most software adds AI as a chat window in the corner. In an AI-native app, AI is part of how the work gets done: it reads what comes in, understands what people mean, takes the next step and asks a person when it should.
AI bolted on
- People retype emails, PDFs and photos
- People learn the menus and forms
- A chat window that answers questions
- Closed to outside AI
AI-native
- AI reads them and drafts the entry for a person to check
- People say what they need in their own words
- AI that does the work: fills in, orders, reports
- Open to AI agents through MCP, including your customers’ agents
What we build
Three ways we put AI to work
Whether you start with one task or a whole new product, we build it to work with the systems and data you already have.
Agents for your team
Agents that take routine work off your staff, inside the tools they already use. The agent drafts, and a person approves what matters.
- Orders from emails and PDFs, drafted into your ERP
- Quotes prepared from price lists and past deals
- Answers to routine questions from customers and suppliers
AI in the apps you already have
We add AI where it saves your customers and staff the most time, whether we built the app or someone else did.
- Search that understands what a customer means
- Carts and reorders prepared from purchase history
- Forms filled in from a photo or a document
New AI-native products
A web or mobile product designed around AI from the first sketch, for a company or a founder with an idea to test.
- Field apps that turn voice notes and photos into reports
- Assistants built for one profession or industry
- Booking, ordering and service apps where AI handles the routine
How we work
From idea to a working app in four steps
You see it working early, on your own examples, before you commit to the full build.
- 1
Intro call
We talk about the work you want AI to take on, or the product you have in mind, and the systems it should work with. Free, with no obligation.
- 2
Prototype and plan
We build a first version on your real examples, so you see what AI gets right and where a person should step in. Then you get a plan and a quote.
- 3
Build and test
We build the full app, connect it to your systems and test it on your real cases until it is ready for daily work.
- 4
Launch and care
We put it live, watch quality and costs, and keep improving it as AI models get better.
Under the hood
How we build it
For the curious, or for your developer.
- Models and agents
- Claude, GPT, Gemini or open models, chosen for each task: a larger model where judgment matters, a smaller and cheaper one for simple steps. Through OpenRouter we can switch models without rewriting the app. Agents act in your systems through tools, with limits on what they may do.
- Answers from your own data
- The app searches your documents, catalogue and records and answers from them, showing where each answer came from.
- Measured quality
- We turn real examples from your business into a test set and check every change against it, so quality is measured, not guessed.
- People in the loop
- Approval steps, roles and limits decide what AI may do alone and what a person confirms. Every action is logged.
- Web, mobile and your systems
- Web apps and mobile apps for iOS and Android, in TypeScript from the interface to the server, and connections to your ERP, CRM, shop or database, through their API or a thin layer we build.
- Privacy, hosting and cost
- Business AI services that do not train on your data, hosting in the EU or on your own servers, and monitoring of errors and costs against the budget you set.
- TypeScript
- JavaScript
- Node.js
- Next.js
- React
- Claude API
- OpenAI API
- OpenRouter
- Model Context Protocol
- Docker
Questions
Good to know
Which AI models do you use?
Whichever fits the job: Claude, GPT, Gemini, or open models that can run on your own servers. Through OpenRouter we can move to a better or cheaper model later without rewriting the app.
Is our data used to train AI?
No. We use the business versions of these services, whose terms exclude training on your data, and send them only what each task needs. If data must not leave your servers, we use open models that you host.
What if the AI gets something wrong?
Sometimes it will, as people do. So we design for it: AI drafts and a person approves where it matters, the app shows what each answer is based on, and we measure accuracy on your real cases before and after launch.
Can you add AI to an app we already have?
Yes, whether we built it or not. We start where AI saves the most time and work with your existing code, data and systems.
How long does it take?
It depends on the scope. A first working version comes early, so you can try it before the full build, and the plan you get has dates.
How much does it cost?
It depends on what the app should do and which systems it connects to. After the intro call you get a clear quote, with an estimate of what the AI services will cost to run.
Do you also connect businesses to their customers’ AI agents?
Yes, that is our other service: agent connections. An app we build can get the same connection, so AI agents can use it too.
Get in touch
Tell us what you want to build
Describe the work you want AI to take on, or the product you have in mind. We will reply with a few first ideas and suggest a time for a call.