Custom software development · AI-powered enterprise management platforms

Custom software development and AI management platforms. On-premise, ready to scale.

We build custom management software, SaaS apps and AI-powered web applications tailored to your business. From MVP to enterprise platform, on-premise or private cloud for Total Data Sovereignty.

Custom management software AI-powered web applications
integration architecture
Legacy systems
SAP · Salesforce · SharePoint
Enhanced output
Certified data & Audit Trail

Deployment options

Installation compliant with your security policies.

On-Premise

Physical installation fully confined to the servers of your operating site.

No external connection required
Air-gapped compliant

Dedicated Private Cloud

Isolated instance inside your cloud infrastructure.

Cryptographic keys under your control
AWS VPC / Azure Private Link

Secure Hybrid

AI on-premise + blockchain validation through encrypted APIs.

AI compute kept on-premise
High speed with decentralized validation

What we build

Custom management software, SaaS apps and AI agents, tailored to you.

When off-the-shelf software can't cover your process, we build it: AI, automations and legacy systems integrated in one tailor-made platform.

Custom management software

ERP, CRM, DMS or vertical management tools (legal, finance, manufacturing) modelled on your processes — not the other way around.

  • Modelled on real team workflows
  • Integration with SAP, Salesforce, SharePoint
  • AI-assisted data migration

AI-powered web applications

Modern web applications (React/Next.js) with built-in AI: RAG on your documents, copilots, agents that automate repetitive tasks.

  • Private AI RAG on your archives
  • AI agents for back-office and customer service
  • Real-time analytics dashboards

MVP and prototype development

From proof-of-concept to first customer in 4–8 weeks. Architecture designed to scale without rewrites when the product grows.

  • Rapid validation with real users
  • Scalable stack (no vendor lock-in)
  • 4–8 weeks time-to-market

Our process

From discovery to production-ready product.

01 · DISCOVERY

Analysis & Architecture

Technical audit of your systems, process mapping, requirements and architecture. Output: specification document and development plan.

02 · MVP

Iterative development

2-week sprints with live demos. Testing on real data, continuous validation, feedback loop. Watch your management software take shape as we build it.

03 · SCALE

Production & Evolution

On-premise or private cloud deployment, team training, MLOps monitoring. The product evolves with you, with no licensing constraints.

How much · Transparent

Investment ranges and Transizione 5.0 tax credit.

Our projects range from €8,000 MVPs to €80,000+ enterprise platforms. Our solutions are eligible for the Italian Transizione 5.0 tax credit (up to 45% of the investment).

Transizione 5.0 eligible

MVP & Validation

€8,000 – €15,000

Minimum viable product in 4–6 weeks. Ideal to validate market or process before investing in the full build.

Most requested

Custom management software

€25,000 – €50,000

Complete custom management software, integrated with your systems, on-premise. Typical timeline 3–5 months.

Enterprise platform

€50,000 – €80,000+

Multi-tenant SaaS platform or enterprise application with advanced AI, microservices, SLA and continuous support.

Why AiChain

Italian AI agency, enterprise stack, zero lock-in.

Since 2022 we've been building custom software for legal, accounting, finance and manufacturing. We work with your data, on-premise, with the compliance your sector requires.

  • Italian team: IT/EN speaking, NDA available before the call
  • Enterprise stack: Next.js, TypeScript, Python, Hyperledger, PostgreSQL
  • Compliance by design: GDPR, eIDAS 2.0, Italian D.Lgs. 231/2007, regulated sectors
  • Code ownership: the software we develop is yours, no lock-in

Architectural feasibility analysis

We design the architecture tailored to you.

One of our engineers will review your legal compliance and IT infrastructure needs to evaluate the optimal deployment model.