Melbourne engineering company · software, automation & infrastructure
Build the software and infrastructure your business actually needs.
Custom software, on-demand CI/CD pipelines and automation, AI, and specialist data-centre and network architecture — designed around your workflows, systems and operational requirements.
- 0+
- Years architecting enterprise and critical infrastructure
- 0
- Engineered platforms and tools in production
- 0+
- Vendor technologies we design and operate
- 0%
- Australian owned, Melbourne based
123456
Uptime
99.99%
Release
v2.4 shipped
What we actually do
From business requirement to working technology
YS Infomatics combines software engineering, AI-enabled automation and enterprise infrastructure expertise to solve operational problems that off-the-shelf products often cannot.
Software Engineering
Build
Custom software, SaaS and business applications designed around how your organisation actually operates.
Intelligent Automation
Automate
CI/CD pipelines, network automation, AI agents and intelligent analysis — deterministic first, AI where it adds value, engineering controls throughout.
Technology Architecture
Architect
Cloud, data centre, enterprise network, security and data infrastructure — the layer most software agencies cannot see.
Service lines
All servicesSelected solutions we've built
Not capabilities we claim — systems we have engineered
Platforms and tooling built for real operational problems in Australian infrastructure, security and business environments.
Custom software · Infrastructure
Data Centre Inventory & IPAM Platform
Custom inventory, subnet and IP-management platform for infrastructure projects.
- IPAM
- Inventory
- VLAN tracking
- Project visibility
Automation · Data
Infrastructure Discovery & Network Intelligence
Automated collection and correlation of topology, addressing, inventory and lifecycle information.
- API / SSH / SNMP
- Topology
- Lifecycle
- Python
✓ 1,842 EPG / contract relations parsed
! 2 BD unicast-routing mismatches
✕ 1 L3Out policy drift vs. LLD
Automation · Architecture
Network Configuration & Fabric Analysis
Parsing complex fabric data into structured information for design validation and troubleshooting.
- Cisco ACI
- Design validation
- Assessment
CI/CD · Network automation
Network Change & Configuration Pipeline
Pipeline-driven configuration generation, validation and deployment for data-centre and enterprise networks.
- GitHub Actions
- Ansible
- Python
- Cisco ACI / NX-OS
- Pre/post validation
> collect: show interface counters (leaf-101..104)
> deterministic check: CRC errors > threshold on eth1/12
> ai analysis: pattern matches optic degradation (0.91)
> recommendation: replace SFP, verify peer — awaiting approval
AI · Automation
AI-Assisted Network Operations
Deterministic network automation combined with AI-assisted analysis and fault troubleshooting.
- AI-assisted
- Fault analysis
- Human-in-the-loop
AI · Security
AI-Assisted Cybersecurity Assessment
Structured assessment and reporting workflows enhanced with AI analysis.
- Security posture
- Frameworks
- Reporting
Tenants
128
Interviews
4,310
MRR
$48k
SaaS · Product engineering
Custom SaaS & Workflow Platforms
Purpose-built multi-tenant applications designed around customer-specific processes.
- Multi-tenant
- Stripe billing
- AI features
- Next.js · Spring Boot · PostgreSQL
DevOps · CI/CD · Network automation
Customised pipelines, scripts and automation — built on demand
We engineer CI/CD pipelines and automation programs for software teams and for data-centre and enterprise networks. Configuration rendered from a source of truth, validated in the pipeline, approved by a human, deployed through APIs and verified — with rollback if anything drifts.
Commit
PR opened
Render
config from IPAM
Validate
lint · Batfish · tests
Approve
human gate
Deploy
API · Ansible
Verify
pre/post diff
// pre-change snapshot
bgp neighbors up ....... 24/24
vpc peer-link .......... consistent
epg → bd mapping ....... 312 verified
// post-change verify
bgp neighbors up ....... 24/24 ✓
reachability (142 probes) 142/142 ✓
drift vs. intent ....... none — change accepted
Software delivery
GitHub Actions, GitLab CI, Azure DevOps · build, test, scan, release · Terraform, Ansible, Docker, Kubernetes.
Network automation (NetDevOps)
Cisco ACI, NX-OS, IOS-XE, Arista, Palo Alto · config generation, pre/post validation, drift & compliance · Python, Ansible, Nornir, NetBox.
On-demand scripts & tooling
Bulk changes, migrations, discovery, reporting and internal tools that retire risky manual runbooks — delivered with tests and docs.
AI & intelligent automation
AI where it creates value — not AI for the sake of it
We use AI as part of a broader software and automation architecture. Depending on the problem, that may include intelligent search, document and data analysis, agent-assisted workflows, recommendations, automated reporting or human-in-the-loop operational assistance.
Where deterministic software is more appropriate, we use deterministic software. Where AI improves the outcome, we integrate it with appropriate controls.
How we apply AIDecision flow
Is the rule known and stable?
→ Deterministic code
Is judgement over messy data needed?
→ AI analysis + evaluation harness
Does the action change production?
→ Human approval gate
Is it repetitive and low-risk?
→ Automate end-to-end, monitor
Technology architecture
Data Centre, Network & Security Architecture
We don't only write applications. We understand the infrastructure they run on — a decade of enterprise and critical-infrastructure architecture that most software agencies cannot claim.
Infrastructure servicesHow we work
Discover → Design → Build → Automate → Operate
One methodology across software, AI, networks and cloud — so a project that spans all four still has one plan, one team and one accountable owner.
Custom software
- 1Business problem
- 2Application design
- 3Build
- 4Automate workflows
- 5Operate & improve
Networks
- 1Environment
- 2Architecture
- 3Implement
- 4Automate
- 5Operate
AI
- 1Use case
- 2Controls & workflow
- 3Integrate
- 4Automate selectively
- 5Monitor
Cloud
- 1Assess
- 2Architect
- 3Migrate / build
- 4Automate
- 5Optimise
Why YS Infomatics
Tangible differentiators, not slogans
Three disciplines that normally sit in three different companies — in one team that has actually shipped the systems.
About the companyBuilt by practitioners
Our solutions are designed by people who have worked in enterprise architecture, infrastructure, software and operational environments.
Software + infrastructure perspective
We work across the application layer and the underlying network and cloud environment — few teams can do both.
Automation-first thinking
We look for repetitive operational work that can be simplified or automated safely.
Custom where custom matters
We build around requirements rather than forcing every problem into an existing product.
AI with engineering controls
We use AI where probabilistic intelligence adds value while retaining deterministic logic and human controls where required.
Have an operational problem that software should solve?
Tell us what you're trying to achieve. We'll come back with a clear scope, an architecture and a realistic plan — across the application and the infrastructure beneath it.
Discuss a project