Asset performance, capital efficiency, and decarbonization have become under intense scrutiny. This has moved prescriptive maintenance from a back-office engineering concept to a boardroom-level strategic lever, and for good reason.
We are discovering that natural gas and liquid pipeline operators are enhancing decisions once made by routine inspection schedules and post-failure analysis into a proactive risk intelligence matrix using KartaSoft patented methodology. This is because the financial impact on long-term capital replacement and decarbonization strategies impacts billions of dollars.
| Our boardroom approach is simple: use easy-to-access data and demonstrate proof through blind testing regimes.
Our customers consistently survey their entire network to support their long-term replacement strategy. SCADA and IoT are important tools in enabling a better understanding of potential near-term network problems that must be addressed.
However, our methodology provides a rolling forward risk intelligence, supporting the arrest of leaks, failures and network damage, preventing unplanned outages that ultimately impact the customer, and significantly cutting maintenance costs. Importantly, optimizing maintenance workflows is proven to remove subjectivity and has strong alignments to capital investment cycles tied to ESG reporting, regulatory frameworks, and infrastructure sustainability goals.
Data, rare failure forecasting and our science, invented by the University of Florida, are pivotal in guiding these decisions. The reason prescriptive maintenance is about the ability to predict failure and justify specific, proactive actions, whether a point of failure, a section of pipe, rerouting flow, or replacing a high-risk joint before failure. The impact on the balance sheet is measurable and large.
| Our “Game-Changer” is accessible, actionable Intelligence, referenced within some of the largest networks in the world.
We overcome what was, until recently, the need for high-cost IoT deployments or long development timelines, delivering results for customer validation in 8 weeks.
We use easily accessible datasets and overlay across a robust physics-informed AI model, with the pedigree of a Gruber Medal. Our results speak for themselves, with a forward-looking view of the network and prioritization down to the asset level.
Pipeline operators aren’t just responding to risk anymore; they're managing it with precision. The organizations that thrive into the future will be those that bridge the gap between data and decision-making, embedding prescriptive insights directly into planning cycles.
Expect more boards to demand clear, defensible justifications for major capital works.
Expect regulators to challenge assumptions and expect competitive advantage to shift toward those who can operationalize intelligence and not just collect it.
If you're rethinking how your network can drive down risk, align with sustainability mandates, and unlock smarter capital deployment—we should talk.