01
AI solutions
The problemHours lost reading documents, answering repeat questions and making calls on incomplete data.
Assistants, document processing and predictions built on your own data, evaluated before launch and monitored after.
AI solutions · Custom software · Automation
IronSystems
Powering Businesses with Intelligent Technologies.
We design, build and run AI solutions, custom software and intelligent automation that take on real operational work, from reading documents and routing approvals to connecting the tools your teams already use.
Intelligence, Engineered.
01About
Iron Systems is an engineering-first software house. We build AI and custom software end to end, from the first idea to a system running in production.
- 01
Problem first
We understand the work before we choose the technology.
- 02
AI where it helps
We test whether a model adds value before we ship it.
- 03
Built to last
Clean, documented code your team can own.
02Services
What we build.
Four disciplines, one engineering team. AI is one of them, built on the same software foundations as everything else we ship.
02
Custom software
The problemOff-the-shelf tools don’t fit how the operation runs, or a spreadsheet has quietly become the system.
Web platforms, internal tools and APIs designed around your process, and easy to run and maintain.
03
Automation
The problemSkilled people spend their week on repetitive, rule-based steps.
Workflows that handle the routine and route exceptions to a person, with every step visible and open to override.
04
System integration
The problemData is re-typed between ERP, CRM, accounting and spreadsheets, and the copies drift apart.
Connections between the systems you already use, so data moves cleanly and stays consistent.
Across the stack
- Backend & APIs
- Web & mobile
- Data & machine learning
- LLM integration
- Cloud & DevOps
- Quality & security
03AI capabilities
AI that works in production.
Where AI earns its place, and how we keep it dependable: evaluated against real data, with people in the loop where decisions matter.
- 01
AI assistants
Copilots inside the tools your team already uses, answering from your own data.
Typical usesInternal help desks, sales and support copilots, onboarding guides.
- 02
Document intelligence
Read, classify and check contracts, invoices, emails and forms.
Typical usesInvoices, contracts, forms and supplier quotations, the same engine that reads quotations in ProcurePilot.
- 03
Decision support
Options compared on the measures that matter, with the evidence behind each recommendation.
Typical usesSupplier selection, pricing, scheduling and resource planning.
- 04
Intelligent automation
Routine decisions handled automatically, exceptions passed to a person.
Typical usesApprovals, onboarding, ticket triage and back-office workflows.
- 05
Predictive analytics
Forecasts and scores measured against real outcomes, with uncertainty shown.
Typical usesDemand and reorder forecasts, churn and risk scoring.
- 06
Knowledge search
Answers from your own documents and content, with sources you can check.
Typical usesPolicies, manuals, technical documentation and past project files.
04Our product
Software we build and run ourselves.
Alongside client work, we build our own software. ProcurePilot is the first.
Live · invitation-only pilot
ProcurePilot
Procurement intelligence for teams that buy from many suppliers.
The problemSupplier quotes arrive as PDFs, scans and spreadsheets. Comparing them by hand is slow, hidden costs get missed, and the reasoning behind a purchase is hard to show later.
Workspaces are created by invitation during the pilot and are free while it runs.
Illustration with sample data: a request for 40 laptops is read, three supplier quotes are compared, Supplier B is recommended, and approval is requested with the audit trail saved.
How it works
- 01
Capture
Quotations are uploaded or arrive by email. Line items are extracted and reviewed before they are trusted.
- 02
Compare
Offers are compared on true landed cost, with an evidence-backed recommendation.
- 03
Approve
Requests move through approval rules and delegations, and every decision is recorded.
- 04
Track
Orders are followed to delivery and invoice; savings are recorded against verified baselines.
More products are in development.
Built to Solve. Engineered to Scale.
Move across the structure
05Process
Engineering first. Always.
How a project moves from the first conversation to a system running in production, with working software at every step.
Start a project- 01
Understand
We map the problem, the people involved and how success will be measured, before choosing any technology.
You getA shared problem brief
- 02
Architect
We design the system, its data and its integrations, and agree a delivery plan.
You getArchitecture and delivery plan
- 03
Build
Short cycles with regular demos, so you see working software early and often.
You getWorking software every cycle
- 04
Validate
Automated tests and security checks, and for AI, evaluation against your real data.
You getEvidence that it works
- 05
Launch
Deployed to production with monitoring in place from the first day.
You getA live, monitored system
- 06
Improve
We measure real use and keep improving the system as the business grows.
You getContinued improvement
06Contact
Tell us what you’re building.
Describe the problem you want to solve. A few sentences is enough to start the conversation.
Prefer to write directly?