Technical Inside
Custom software and AI, built to ship.
Technical Inside is a software studio in Iași, Romania. We design and build AI-powered products, web and mobile apps, SaaS platforms and automation, from first commit to production, with a portfolio of shipped work behind us.
2026
Founded in Iași
3
Products in production
7.3M+
Downloads shipped
EU
Based in Romania
What we do
We build the product, end to end.
AI-Powered Products
Applied AI built into real products, like Censory, which detects and removes personal data from PDFs and images with an AI model.
Web Apps & SaaS
Full-stack web apps and SaaS from first commit to production: marketplaces, consumer apps and dashboards that hold up under load.
Cross-Platform & Mobile
Installable, cross-platform experiences and PWAs that meet your users wherever they are, no app-store gatekeeping required.
Selected work
Products we've shipped and run in production.
Real software we designed and built end to end: an AI privacy tool, a consumer app and more, live and in use today.
Packaged solutions
All solutions →AI Product Build
Go from an idea to a working AI product: scoped, built and shipped, with the guardrails and evaluation to keep it honest.
SaaS from Zero
Stand up a new SaaS from an empty repo: product, infrastructure and accounts, delivered ready to grow.
Automation & Data Pipeline
Connect software to the physical world: data pipelines, integrations, and hands-on PLC/SCADA experience.
Who we work with
Building our first research partnerships, in the open.
We're a 2026 studio, so we're honest about where we are: our first academic collaboration is taking shape now, an emerging applied-research partnership with the Faculty of Construction and Installations in Iași.
Faculty of Construction and Installations, Iași
Emerging applied-research partnership
We're growing the team.
Get in early at a company where your work sets the standard, not just fills a seat.
Latest thinking
All research →Redaction you can trust: what we learned building Censory
Covering text with a black box is not redaction: the words are still in the file. Here is what actually removing them takes.
Making local LLMs actually usable
Running a model on your own hardware is the easy part; the friction is fitting it to the GPU, serving it cleanly, and getting agents to coordinate instead of idle.
Shipping across platforms from one core
Fit and Censory are very different products that share one delivery pattern: a web core, a mobile-first surface, and PWA install where a native shell would be premature.