How we helped companies transform their digital business, with real projects and measurable results.
shellonback
Case study
A company Second Brain connects emails, documents, hours, invoices and decisions and uses AI to turn them into answers, checks and reminders. Here is what it does, how we keep the data under your control and how we build it around your company.
shellonback
Case study
How we built Morning Tech & AI: a pipeline on managed AWS services that every morning collects tech news, selects and writes three stories in two languages, publishes the site and sends the newsletter with no human intervention.
shellonback
Case study
PromptOps Manager is the Shellonback desktop app that orchestrates AI agents such as Claude Code, Codex, Gemini and Copilot inside development projects, turning scattered prompts into structured, reusable workflows.
shellonback
Case study
How we deployed PUPAU, the platform that orchestrates public and on-premise AI models, on dedicated hardware at a client's site: remote preparation with K3s, Helm and Ansible, on-site installation and go-live, with data that never leaves the company.
shellonback
Case study
Why identity documents should not go through public AI OCR services, and how a digital concierge project moved to an on-premise open source OCR instead. The result was a system that is more secure, easier to control and more sustainable over time.
shellonback
Case study
TickCard is an Italian startup that replaces paper stamp cards with a QR-code-based digital loyalty platform. Shellonback has invested in it directly and offers it to clients as a loyalty module that can be integrated into their systems.
shellonback
Case study
How we build custom platforms on AWS that turn scattered company documents into complete functional specifications, using OLLAMA to run the language models inside the company’s own infrastructure so that no document leaves it.
shellonback
Case study
We built an AI-driven code compliance pipeline entirely on GitHub Actions that checks every pull request against an internal technical specification before a human reviewer opens it. Result: 70% less time wasted on low-level review.
shellonback
Case study
For a retail client running on AWS Lambda, API Gateway and NestJS we added a distributed caching layer on DynamoDB with automatic TTL. Average latency dropped by over 85%, database queries by 90% and overall AWS costs by about 40%.
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For more information, have a look at our Privacy and Cookie Policy Privacy and Cookie Policy
Profiling cookies are used to provide you with customized services and send you targeted advertising messages in line with the preferences you expressed when browsing our website. They help us to implement behavioral advertising, measure the effectiveness of our ads, and customize the services offered in line with your behavior. These cookies may be set by us or by third-party providers whose services we've added to our pages.
Analytics cookies track the traffic and performance of a website, and their analysis generates aggregated statistics. They help us to know which pages are the most and least popular and how you move around the website. These cookies may be set by us or by third-party providers whose services we've added to our pages.
Technical cookies are essential for our site to work correctly and to provide the service you requested.
These cookies enable the website to provide enhanced functionality and personalisation. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.