AI-AUDIT.IT · SOFTWARE & AI LAB · MMXXVITAKING ON 2 PROJECTS · Q3 / Q4
Software for clients · AI products in production

We build
software that
performs.
AI products
you can measure.

We build custom software for Italian companies and proprietary AI products with a modern stack and an iterative approach. From proof-of-concept to production deployment, with public metrics and maintainable code.

001 · For clients

Custom software

Web platforms, internal apps, integrations, MVPs for startups. From brief to deploy, with your code and clean documentation.

Avg. lead time6–12wks
002 · AI products

Built on real problems

Four proprietary AI products born from our clients' problems. Each with a strong thesis, a modern stack and public metrics.

Products in production04/4
003 · Stack & method

A modern stack, iterative

TypeScript, Python, Postgres, edge runtime, hosted & on-prem LLMs. Weekly sprints, continuous demos, code delivered with repo and CI.

Sprints1/wk
01 / Software services

What we
build for you.

Six kinds of engagement, from a one-week sprint to a system in production. Every deliverable includes code, repo, documentation and training for your in-house team.

S01Custom software
Production-readySME / Corporate

Web platforms & applications

6–12 wksTS / PythonRepo + CI

Internal web apps, client portals, dashboards, integrations with your systems (ERP, CRM, management software). Modern stack, your code, clean documentation.

For whomCompanies with a clear problem and processes that today live in Excel sheets or scattered tools.

S02AI integration
LLM / RAGSME / Corporate

LLM, RAG & agent integration

4–8 wksHosted / on-premAPI + eval suite

Integrating LLMs into your workflows: semantic search over documents, agents that close tasks, conversational automation. With an eval suite and guardrails.

For whomCompanies with large document corpora or high-volume conversational processes.

S03MVP & Proof-of-Concept
Startup / R&D

An MVP in 4 weeks

2–4 wksApp + users3 sprints

From an idea to a product real users can test in a month. For pre-seed startups, internal R&D, validating new lines of business.

For whomFounders with a strong thesis who need to put the product in front of 10 real customers — fast.

S04Intelligent automation
n8n / Make / API

Process automation

2–6 wksn8n / Make / APIWorkflow + docs

We connect your tools (CRM, management software, email, drive, AI) into workflows that run on their own. Setup, monitoring, runbook for the in-house team.

For whomSMEs with operational teams that today copy-paste data across 5 different apps.

S05Code audit
Due diligence

Code & architecture audit

2–3 wksAssessment20–40pp report

Independent audit of an existing system: architecture, code quality, security, scalability, technical debt. Report with priorities and an investment estimate.

For whomInvestors in tech due diligence, boards that inherited a legacy system, CTOs who want a second opinion.

S06Maintenance & ops
Monthly retainer

Maintenance & evolution

12 months8h / monthQuarterly roadmap

Retainer for software already in production: bug fixes, small features, dependency updates, observability, best-effort on-call. So you don't stall.

For whomCompanies that built software 1–2 years ago and don't have a structured in-house tech team.

Indicative pricing · every quote starts with a free 30-minute scoping call.All prices + VAT · code you own
02 / Proprietary AI products

5 AI products
born from real problems.

Each with a strong thesis and public metrics. They're ours — and they're the proving ground for the work we do for clients. Built with the same code we produce for you.

Product 01PLATFORM

BandoBuilder.it

The AI platform that simplifies access to European grants and funding for SMEs. Find, analyze and apply in a fraction of the time.

  • AI analysis of 4,200+ grants
  • 89% automatic match
  • Pre-filled documents
  • Custom deadline alerts
In productionbandobuilder.it
Product 02MARKETPLACE

+Human

A marketplace of human intelligence for AI projects: where the model ends, the human reviewer begins. Verification, quality, accountability.

  • Pool of vertical experts
  • Review SLA < 24h
  • Double check AI + human
  • Complete audit trail
Private betaplushuman.app
Product 03SIMULATION

MiroFish-IT

Multi-agent simulation for Italian scenarios: economy, communication, social dynamics. 32,000 agents reacting to interventions and shocks. To test policies and strategies before putting them into the real world.

  • 32,000 simulated AI agents
  • All NUTS-2 regions
  • Open-source · reproducible
  • API for researchers and policy makers
Open-sourceGitHub
Product 04iOS APP

Quieta.me

An iOS app that uses RSVP — rapid serial visual presentation of words — as a reading rhythm to recondition attention and break compulsive scrolling. It's not speed reading: it's retraining the reward system.

  • RSVP as a reading rhythm
  • Two modes · Now / Path
  • 100% on-device · privacy-first
  • Anti-gamification · zero metrics
Private betaDiscover Quieta
Product 05 · Case studyONCOLOGY · DESKTOP

MediTrace.ai

Evidence-based research assistant for Italian oncologists. Queries 12 biomedical databases in parallel (PubMed, ClinicalTrials.gov, OpenTargets, openFDA) + AIOM guidelines. Local LLM via Ollama: no patient data leaves the Mac. Audit trail compliant with the EU AI Act.

  • 12 international biomedical APIs
  • Local LLM Qwen 2.5 14B · zero cloud
  • AES-256 encrypted DB · macOS Keychain
  • Audit trail AI Act Art. 12 + Annex IV
  • In production · 3 clinical workstations · 05/2026
In production · Case studyTalk to us about it
03 / Stack & principles

Boring technology,
modern integrations.

We don't chase the latest framework. We pick mature tools that stay in production for 5 years. The innovation is in the integrations and the AI models — everything else has to be predictable.

Frontend
  • TypeScript
  • React / Next.js
  • Vue / Nuxt (legacy)
  • Tailwind · design tokens
  • Astro for content sites
Backend & data
  • Python · FastAPI
  • Node.js · Hono / tRPC
  • Postgres · pgvector
  • Redis · queues
  • S3 / R2 storage
AI / LLM
  • Claude, GPT-4, Gemini
  • Open-source: Llama, Mistral
  • RAG · pgvector / Qdrant
  • Eval: LangSmith / Braintrust
  • Guardrails · PII redaction
Infra & ops
  • Vercel · Cloudflare
  • Fly.io · Railway
  • AWS · GCP (corporate)
  • GitHub Actions · CI / CD
  • Sentry · PostHog · logs
Every project is delivered with a GitHub repo you own and documentation.On-prem hosting available for sensitive data
04 / How we work

Brief, Design,
Build, Ship.

Four phases, weekly sprints, continuous demos. No 80-page proposals, no black-box quotes: every week you see what we've built and decide whether to continue.

PHASE 01

Brief

A free 30-minute scoping call + a one-page written brief: problem, constraints, expected output, definition of "done". If the fit isn't there, we tell you.

1 page · fixed scope
PHASE 02

Design

Technical architecture, stack choices, interface mockups, sprint breakdown. Decisions that stay written down — no "we said it out loud".

Architecture · mockups
PHASE 03

Build

Weekly sprints with demos. Code written, tested, in continuous integration. You have repo access from day 1: no surprises at delivery.

Sprints · weekly demos
PHASE 04

Ship

Production deploy, in-house team training, operational runbook, 30 days of best-effort on-call. The code is yours, the repo is yours, the knowledge too.

Deploy · handover · docs
05 / Frequently asked questions

The questions
we always get.

Eight honest answers about the way we work: costs, timelines, code ownership, maintenance. If you can't find yours, write to us — we reply within 24h.

/ 01How much does a custom project cost?

It depends on the scope. Indicatively: a 4-week MVP starts from €12,000, a custom platform (6-12 weeks) from €24,000, an LLM/RAG integration from €18,000.

The best way to get a number is a 30-minute scoping call: afterwards we can propose a fixed-scope brief with a clear price. No 80-page proposals: one page with what, when, how much.

/ 02How long from brief to delivery?

MVP / PoC: 2-4 weeks. Custom platform: 6-12 weeks. AI integration: 4-8 weeks. We work in weekly sprints with demos, so halfway through you already have a working version in hand — you don't wait until the end to see something.

/ 03Who owns the code?

You do. Always. A GitHub repo you own from day 1, read access for the whole team. Technical documentation, operational runbook, knowledge transfer to the in-house team at delivery. If tomorrow you decide to bring the project in-house, we're out in two days.

/ 04What stack do you use?

TypeScript + Python by default. React/Next.js on the frontend, Node.js or FastAPI on the backend, Postgres as the database. For AI: Claude/GPT/Gemini in the cloud, Llama/Mistral self-hosted where on-prem data is required. All on Vercel/Cloudflare/Fly or your own cloud (AWS/GCP/Azure) if you prefer.

We don't chase the latest framework: we pick tools that stay in production for 5 years and that anyone can maintain.

/ 05And after delivery? Do you maintain it?

Three options. (1) Handover: we hand everything to your in-house team and stay available for 30 days for questions. (2) Monthly retainer: from €2,500/month you keep an open channel with us for bugs, small features, updates. (3) Mixed: your team handles the day-to-day, we're on-call for the big things.

/ 06Do you work for equity or only for a fee?

Only for a fee, save very rare cases. We believe the equity-for-build model muddles the incentive: you need us to ship the product, not to push metrics for the next valuation. For pre-seed startups we offer a fixed-scope MVP at entry price — so you test the product before diluting.

/ 07Can I see projects you've shipped?

The proprietary AI products are public: BandoBuilder.it in production, +Human in private beta, MiroFish-IT open-source on GitHub, MediTrace.ai in production on three Italian clinical workstations (full case study), Quieta.me in private beta on iOS. Client projects are under NDA and we don't show them without authorization — but on a call we can point you to two or three sector references for a chat.

/ 08Is our users' data safe?

Yes, and it's one of the reasons we exist. For AI projects: PII redaction, configurable log retention, on-prem option (Llama/Mistral self-hosted) for sensitive data. For GDPR and the AI Act we're specialists — we also handle compliance audits separately, so we know where to look.

06 / Brief

Got an idea?
Let's build it
together.

A free 30-minute scoping call: you tell us the problem, we tell you whether we can solve it and — if so — how much time and budget it takes. A one-page brief within 48h of the call.

build@ai-audit.it+39 02 ____ ____Milan, IT