Insiqa

Insiqa designs and implements project intelligence systems that help organisations plan, govern, and deliver capital projects with greater confidence. We combine benchmarking, risk, data engineering, and advanced analytics to turn fragmented project data into structured, decision-ready intelligence.

Why capital projects still underperform

Most organisations already have the data they need. What they lack is a structured way to turn that data into clear, comparable, and decision-ready insight.

Estimates, schedules, risk data, and delivery information exist — but they are fragmented, inconsistent, and difficult to interpret. Without a connected view, it becomes hard to challenge assumptions, benchmark performance, or make confident decisions.

The result is predictable: variability, inefficiency, and repeated mistakes across projects.

Improving project outcomes requires more than isolated analysis — it requires structure.

Organisations already have the data they need across estimates, schedules, risk registers, and delivery systems. The challenge is turning that fragmented information into something that is consistent, comparable, and useful for decision-making.
Benchmarking plays an important role in this. It helps define what good looks like and provides an objective reference point to challenge assumptions.
But real impact comes when benchmarking is combined with delivery data, risk insight, and practical workflows, and embedded into systems that can be used in live project environments.
Our focus is on building that capability — not just generating insight, but making it usable, repeatable, and embedded in how projects are delivered.

Our Approach

A Holistic Approach to Project Intelligence

Project performance is not driven by cost or schedule alone. Outcomes are shaped by a complex system of scope, design, execution strategy, risk, and delivery capability.

Benchmarking plays an important role in understanding this system. It helps define what good looks like and provides an objective basis to challenge assumptions and compare outcomes.

But real value comes from going further — integrating benchmarking with delivery data, risk insight, and project structure to create a complete, decision-ready view.

This is where project intelligence becomes useful. It provides the clarity and confidence to set realistic targets, challenge assumptions, and make better decisions across projects and portfolios.

We help organisations improve how capital projects are planned, governed, and delivered by turning project data into structured, decision-ready intelligence.

In many cases, our work starts with core project controls services such as planning, estimating, or benchmarking. As we engage more deeply with the project and underlying data, this often evolves into something broader — structuring data, connecting systems, and building integrated intelligence capability that supports better decisions across the project lifecycle.

Project Intelligence Frameworks

We design and implement structured frameworks that integrate cost, schedule, risk, and delivery data into a single, decision‑ready view. These frameworks provide clarity across projects and portfolios, supporting more consistent planning, governance, and performance management.

Benchmarking

We use benchmarking to define what good looks like and provide an objective basis to challenge assumptions. By combining internal and external data, we support more informed planning, realistic target setting, and improved governance across projects.

Risk & Predictive Analytics

We apply quantitative and data-driven approaches to improve forecast confidence and expose uncertainty early. This helps organisations better understand variability, manage risk, and make more informed investment and delivery decisions.

Project Controls & Delivery Support

We provide practical support across planning, estimating, and project controls disciplines. This ensures that frameworks and insights are grounded in real delivery environments and aligned with how projects are actually executed.

Data & Systems Enablement

We structure project data, workflows, and tooling so that insight becomes repeatable and scalable. Depending on the need, this may include integrating with existing systems or delivering technology-enabled solutions that embed intelligence into day-to-day project delivery.

What We Do

Meet the Team

We’re a diverse group of professionals united by a common passion: turning data and processes into insights that help our clients deliver better projects. Our team brings together engineers, quantity surveyors, data scientists, and developers from different backgrounds, skill sets and cultures — combining technical expertise with fresh perspectives to create practical, impactful solutions

Benchmarking and Analytics Director

Pieter Rautenbach

Pieter Rautenbach has over 20 years of experience delivering project performance improvements across multiple sectors and geographies.

He has designed and implemented benchmarking processes and systems for major industrial clients worldwide, successfully embedding risk and planning frameworks on large-scale projects.

Pieter is passionate about using practical processes and technology to lift project performance. He has led teams, launched new business units for multinational software companies, and shares his expertise as an Adjunct Lecturer at Bond University

Product Lead

Andrew Martin

Andrew Martin is an analytical and strategic problem-solver with experience working for Clients, EPCM contractors and consultancies, giving him a broad perspective on project delivery and stakeholder needs.

Andrew combines skills in multiple coding languages, database design, cost forecasting and engineering design.

Known for his innovative thinking, he applies his hybrid technology and engineering expertise to solve complex problems and deliver practical, high-impact solutions.

He holds a Civil Engineering degree and is completing a Master’s in Data Science at the University of Queensland.

Advisor

John Hollmann

John Hollmann is a globally recognised authority in capital project benchmarking and capital performance.

He has led foundational research in project benchmarking and project definition, helping owner organisations improve capital efficiency, decision‑making, and portfolio outcomes.

As an advisor to Insiqa, John provides strategic guidance on benchmarking frameworks and research direction, supporting the development of robust, data‑driven methodologies for large and complex capital portfolios.

Meghana Reddy Poreddy

Meghana is a senior Data Analyst with expertise in the architecture and dissemination of complex statistical data for large-scale capital portfolios.

Specializing in ETL processes and database interrogation (SQL, R, Python), she is the engine behind Insiqa’s ability to turn fragmented project data into a integrated project intelligence.

Meghana excels at building the intuitive dashboards that allow owner organizations to move from reactive reporting to proactive decision-making.

With a deep mathematical foundation in Linear Algebra and Probability, she develops the realistic projections and scenario models required to mitigate risk in multi-billion dollar project portfolios.

Her focus is on process automation ensuring that project intelligence is delivered with speed, accuracy, and systemic rigor.

Carrick Chin

Carrick is a highly specialized Quantity Surveyor who bridges the gap between traditional commercial management and modern data analytics.

With deep experience in project pricing, benchmarking, and analytics for major industrial players, he enables our clients to turn complex cost data into actionable intelligence.

Carrick is the backbone of our data-driven workflows, ensuring that project certainty is built on a foundation of technical rigor and dependable benchmarking

His focus is on integrating predictive analytics into the commercial lifecycle to eliminate budget volatility

Caleb Clarke

Caleb is a high-performance coder and data scientist and developer.

Specializing in Machine Learning and complex mathematical modeling, he provides the computational power behind Insiqa’s predictive frameworks.

Caleb excels at translating multi-dimensional project data into the automated workflows required for modern infrastructure assurance.

His ability to bridge the gap between academic rigor and practical algorithmic application ensures that our intelligence models remain at the cutting edge.

Developer

Data Strategy & Business Intelligence

Pooja Choudhary

Pooja is a highly technical Data Scientist with a dual-master’s foundation in Computer Applications (MCA) and Data Science.

She brings a robust background in full-stack development (Java, Springboot) and complex database architecture (SQL) to the Insiqa intelligence model.

She specializes in the end-to-end data lifecycle—from architecting the technical pipelines that capture project data to applying Machine Learning models that predict outcomes.

Pooja serves as the vital link between deep-tech algorithmic development and high-level strategic delivery, ensuring that complex portfolios are underpinned by clean, scalable, and actionable data structures.