What we build for ourselves
Alongside client work we develop our own products. They are not a portfolio: they are where we try out first what we later propose to clients — AI agent architectures, verified generation, multilingual content, white-label delivery.
ludus.zone
Escape rooms and multi-stop narrative trails, anywhere.
The platform museums, schools, companies and public bodies use to build playable experiences in a real place: scan a QR code and play in the browser, with nothing to install. Compass and GPS coordinates outdoors, navigation puzzles indoors, a live leaderboard and narrated audio.
The part that interests us most is the editor: AI generates stories, puzzles, voice and translations from the real context of the trail, and verifies that every puzzle is actually solvable before it reaches players. The author stays the author — the machine takes away the mechanical work.
Go to ludus.zone
- What it proves
- AI generation that is verified, not just generated
- Architecture
- Multi-tenant white-label, offline-first
- Who it is for
- Museums, schools, companies, public bodies
- Content
- Natively multilingual, with narrated audio
Sibillia
Cultural heritage that speaks to the people visiting it.
The platform museums, historic towns and whole territories use to turn their heritage into an interactive narrative experience. Visitors open it in the browser, from a QR code or straight along the route, and can listen to stories, explore works and places, and put questions to an AI assistant that answers from the content and the sources the institution has chosen.
The same visit can change language, depth and tone of voice: from an explanation written for adults to a story made for children and families. Text, audio and conversation live inside the same experience, while every museum or territory keeps its own identity, its own content and a dedicated environment. AI does not replace the knowledge built by historians, curators and institutions: it makes it reachable in different forms, at the moment the visitor needs it.
Go to sibillia.ai
- What it proves
- Conversational AI grounded in verified cultural content
- Architecture
- Multi-tenant, white-label, RAG and AI agents
- Who it is for
- Museums, cultural institutions, municipalities and territories
- Content
- Multilingual, narrated audio, trails for different audiences
foodmanager.info
The food inventory behind hospitality schools' training kitchens.
The platform hospitality schools use to run the food stores behind their practical lessons. Teachers file requests from the browser, the office aggregates them and checks them against stock, storekeepers book goods in and hand them out: what used to be a round of forms and phone calls becomes a single flow, with the status of every request always visible.
From the supplier order to delivery in the kitchen every step stays on the record, with estimated spend alongside actual. It runs in the cloud with nothing to install: a browser is enough.
Go to foodmanager.info
- What it proves
- A management system in production, three roles on a single flow
- Architecture
- Multi-user cloud application, nothing to install
- Who it is for
- Hospitality schools: teachers, office, storeroom
- Data
- Requests, stock levels, estimated against actual spend
Why we build our own products
Because a supplier who has never taken a product of their own into production does not know what it costs to keep one running. Our products pay their own bills, have real users, and force us to solve the same problems you will face: model costs, quality over time, multilingual content, updates without taking the service down.
Tell us about your project
Describe the process you would like to automate. In half an hour we will tell you whether an agent makes sense — and if it does not, we will tell you that too.