Build applied AI software
Applied AI in products people actually use: turning complex text into easy-to-read language, answering questions with in-product AI chat, generating and summarising content, and automating document work.
Tell us what you're building.
A few details help us put the right engineers in the first call instead of a salesperson with a slide deck.
AI is easy to demo, hard to ship
Simplify, and speak
Language & text AI
We build AI that turns complex official text into easy-to-read language - refined against real reader feedback, plus a corpus-verification service.
We are also researching text-to-speech to add a spoken layer, and we build the web and mobile apps that put the model in users' hands.
Assistants & automation
AI inside your product
We wire AI into real products: an in-app AI chat/assistant, AI-assisted product data, and AI that generates and summarises content from live data.
And we automate the dull, error-prone work - like AI-driven processing of incoming documents such as invoices.
Applied AI, already in production
On an energy-trading platform we built for Enerace, AI generates and summarises market news from live data. Separately, we are automating invoice processing there so the team spends less time on manual document handling, which gives two distinct AI features on one platform. For a product-data platform we built an in-app AI chat and an AI service the application calls for appliance and product information.
For a Polish organisation supporting people with intellectual disabilities, we are running a live AI product that turns complex official text into easy-to-read language, with our own model, an online service to verify the text corpus, and web and mobile apps that put it in people's hands. Alongside it we are researching text-to-speech, so the same content can be heard as well as read. These are three separate engagements, and each one solves one narrow job well instead of trying to be a general-purpose assistant.
AI insights from our blog
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Why teams build AI with us
Our strength in AI is shipping applied AI inside real products and keeping it running after the first good demo: we measure how it performs and fix what's wrong. Chasing the newest model is not the point.
Our projects include an AI model that turns dense official language into easy-to-read text, with a corpus-verification service and text-to-speech research alongside it; an in-product AI chat and an AI service backing product data; and AI that generates and summarises market news and automates invoice processing inside a live energy-trading platform. That is three separate jobs for three separate clients.
How we engage: a workshop to find where AI can do concrete work in your product and data, then we build or integrate it and take on the ongoing support that most teams underestimate.
AI software development - FAQ
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Applied AI inside real products: text simplification into easy-to-read language, text-to-speech (in research), in-product AI chat and assistants, AI content generation and summaries from live data, and AI document automation such as invoice processing.
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A demo answers one case once; a product answers real users reliably, inside an app, with data handled safely. We build or integrate the AI and the software around it, and stay on to support it.
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Yes, this is one of our strengths. We build an AI text-simplification model that turns complex official text into easy-to-read language, with a corpus-verification service and text-to-speech research.
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Yes. We have built an in-product AI chat backed by a dedicated AI service, and AI that generates and summarises content from live data, for example turning market data into readable news inside a platform.
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Yes. On a live energy-trading platform we are automating invoice processing with AI. This kind of repetitive, error-prone document work is well suited to AI.
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With a workshop: we look at your product and data, find where AI can do concrete work, and give you a plan and estimate. Book a free consultation and we'll scope it with you.
Applied AI, engineered to work for real users.
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Filip Szamborski
Board Member
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Karol Oponowicz
Board Member
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Paweł Zieliński
Board Member
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