{"id":14,"date":"2026-11-11T16:14:33","date_gmt":"2026-11-11T05:14:33","guid":{"rendered":"https:\/\/optrix.com.au\/?page_id=14"},"modified":"2026-11-11T16:30:45","modified_gmt":"2026-11-11T05:30:45","slug":"integration","status":"publish","type":"page","link":"https:\/\/optrix.com.au\/?page_id=14","title":{"rendered":"Integration"},"content":{"rendered":"\t\t\n\t
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Optrix Integration Services<\/span>

From problem statement to proven outcome.<\/h1>

We help asset-intensive organisations identify high-value opportunities, prove value with focused engagements, and scale into long-term operational capability.<\/p>

We integrate with your existing systems to deliver a unified solution tailored to your needs.<\/p>

\n Try ARDI<\/a>\n\t Talk to Optrix \u2192<\/a>\n\t\t <\/div><\/div>
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What we do<\/div>

Professional services for real industrial problems.<\/h2>

We have proven experience helping organisations overcome production, quality and operational challenges through data-centric solutions, independent of any specific software and aligned with their objectives.<\/p>

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Asset-intensive experience<\/h3> Deep experience in mining, manufacturing, energy and process industries - not generalist IT. <\/div>
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Operations & data fluency<\/h3> Strong understanding of industrial data, control systems and operations \u2013 bridging engineering, operations and data teams. <\/div>
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Industrial analytics & AI<\/h3> Predictive and diagnostic analytics, ML for quality and maintenance, process optimisation, decision support and context-driven analysis across systems. <\/div> <\/div> <\/div>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n <\/section>\n\t \t\t\n\t
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Our Process<\/div>

From discovery to validated outcome, in four stages.<\/h2>

Our independent integration services help you make progress while keeping risk manageable. We provide consistency by adopting a formal structure each time \u2013 so you know what\u2019s coming, what\u2019s expected of you and what will be delivery at the end.<\/p>

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01<\/div>
Discovery<\/div>

Understand the problem<\/h3> Stakeholder interviews and a review of your current systems, data and processes to identify high-value opportunities. Output: agreed problem statement, success criteria and target metrics. <\/div>
02<\/div>
Agree scope<\/div>

Define the engagement<\/h3> Select focus area and data sources, define timeline, roles and deliverables, and finalise commercial terms. Output: a signed PoV agreement with clearly defined scope, use case and success metrics. <\/div>
03<\/div>
Implement<\/div>

Demonstrate measurable value<\/h3> Configure the solution against your data, execute the agreed workflows, dashboards or analytics, with regular check-ins to review progress. Output: a working model, dashboard or system aligned to the agreed criteria. <\/div>
04<\/div>
Review<\/div>

Validate & further improvements<\/h3> Present findings to business and technical stakeholders and discuss additional value opportunities. Output: customer-validated success and opportunities for further improvement. <\/div> <\/div> <\/div>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n <\/section>\n\t \t\t\n\t
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Example outcome \u00b7 Root cause detection<\/div>

Finding hidden causes in interconnected systems.<\/h2>

A manufacturer had a recurring, unexplained loss of temperature control across their gas-fired ovens - no obvious trigger and no warning. Optrix used ARDI's Timeline addon to scan for statistically significant events around each loss-of-control. The common thread sat on the other side of the facility: a cleaning tank purge was leaving its burner valve fully open onto an empty tank, briefly starving the rest of the line of gas. There were no gas pressure sensors and only one site-wide flowmeter, so the cause was invisible on conventional trends.<\/p>

\"ARDI <\/object><\/div>
5 min<\/div>

hidden lead time between purge and loss of control<\/p> <\/div>

Remote<\/div>

investigated by an analyst who had never been on site<\/p> <\/div>

Procedural<\/div>

resolved without hardware change; control quality and gas efficiency both improved<\/p> <\/div> <\/div>

The engagement followed the four stages above - Discovery through to Review - with the root-cause hypothesis validated against historical events before any process change was made.<\/p> <\/div>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n <\/section>\n\t \t\t\n\t

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More from the field<\/div>

Different industries, same engagement model.<\/h2>

Each engagement starts with a problem statement and ends with validated outcomes. Across steelmaking, renewable energy, mining and manufacturing, the same four-stage process has applied - adapted to whatever the customer's data, equipment and operational priorities required.<\/p>

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Coke oven battery management \u00b7 Steelmaking<\/h3> 50 coke ovens with data dispersed across a historian, an Oracle database and Excel files at varied recording intervals. Optrix synchronised around 3,600 values across mismatched time cycles into a 3D visualisation - surfacing hidden setpoint inconsistencies, push-torque variations and data issues that existing SCADA and reports were missing. <\/div>
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Field access at hydro power plants \u00b7 Renewable energy<\/h3> Field personnel were losing time on trips back to the control room or waiting on operators for HMIs, drawings and work instructions. ARDI's digital twin plus AR on existing mobile devices put real-time data and documentation in the field - no new hardware, faster decisions, and remote out-of-hours support for on-site staff. <\/div>
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Maintenance compliance \u00b7 Manufacturing<\/h3> Routine maintenance was thorough but hard to verify, and harder to prove for regulators. ARDI's Checklist and Checkmate addons turned routine checks into guided, web-based checksheets with live equipment data - auditable records of who did the check, when, and what the equipment was actually doing at the time. <\/div>
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Remote longwall operations \u00b7 Underground coal mining<\/h3> A longwall mine face stretching hundreds of metres underground, with information scattered across multiple systems. ARDI's 3D visualisation consolidated roof support heights, pressures, angles and positions into a single live view - supporting remote operations, surfacing faulty sensors, and enabling incident replay for compliance reporting. <\/div>
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Virtual sensor for in-tank temperature \u00b7 Process manufacturing<\/h3> A heating element inside a sealed liquid container relied on a failure-prone internal probe. An ARDI-trained LSTM model estimates the internal temperature from external sensors only - typically within 2\u00b0F of the actual reading at 1200\u00b0F - with discrepancy alerts that flag when the physical probe drifts or freezes, so operators can keep control and schedule a replacement. <\/div> <\/div> <\/div>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n <\/section>\n\t \t\t\n\t
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<\/div>
Get started<\/div>

Start with a simple conversation.<\/h2> We usually begin with a short discussion to understand your environment, your priorities and where better data or analytics could make the biggest impact - and what a focused PoV could prove. <\/div>
Talk to Optrix<\/a> Try ARDI \u2192<\/a><\/div> <\/div> <\/div><\/div>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n <\/section>\n\t ","protected":false},"excerpt":{"rendered":"

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