"The collaboration was very well managed from start to finish."
James Foskin
Founder & CEO, TiAiMe Limited
Asset Management Software for Oil & Gas
Asset integrity failures in oil and gas have consequences that go well beyond the equipment itself. A corroded pipeline that fails unexpectedly causes production loss, environmental release, and potential injury. A pressure vessel with a known thickness measurement trend that was never compared to the previous reading causes a fitness-for-service failure that should have been caught two inspection cycles earlier. The data to prevent these failures usually exists, it just exists in formats that make trending, comparison, and prioritisation either manual or impossible. We build asset integrity platforms that centralise inspection records, automate risk-based scheduling, and surface anomaly trends before they become failures.
Asset register with full technical specification, documentation, and inspection history per equipment item
Risk-based inspection scheduling by asset criticality and condition rather than calendar intervals
Inspection result recording with corrosion measurement trending and anomaly flagging
Anomaly management workflow from identification to fitness-for-service assessment and close-out
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
Trusted by
The brief
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Inspection records scattered across spreadsheets and paper files so when an anomaly is found on a vessel, there's no fast way to see the inspection history or compare it to the previous reading?
Inspection programme driven by calendar intervals rather than asset condition and criticality, so you're inspecting low-risk equipment on the same schedule as equipment where a failure would mean a production shutdown?
Plain answer
RaftLabs builds custom asset management software for oil and gas operators. It centralises the asset register, schedules risk-based inspections by criticality, trends corrosion measurements, manages anomalies through fitness-for-service close-out, and integrates with existing CMMS platforms like SAP PM and IBM Maximo. A validated v1 ships in about 12 to 16 weeks at a fixed cost, then grows from there.
What to remember
Proof
We build custom asset integrity software for oil and gas operators. It centralises inspection records, automates risk-based scheduling, and surfaces anomaly trends before they become failures. Every part is built around the equipment types, inspection methods, and regulatory codes specific to oil and gas, so the data you already collect finally drives the decisions it was meant to.
Capabilities
Full equipment hierarchy with technical specification, design data, and documentation attached directly to each asset record.
Criticality- and condition-driven intervals enforcing regulatory minimums as a floor, with automatic schedule adjustment on inspection results.
Corrosion trending with minimum-remaining-life calculation, and inspection findings classified by severity for triage.
Documented FFS assessments with assessor qualification recorded, risk-ranked open anomalies, and MOC linkage for resolutions.
PM schedules generating work orders automatically, with corrective work linked directly to the originating inspection finding.
Programme compliance and corrosion fleet reporting, pipeline integrity management plan compliance, and regulatory submission exports.
How we work
We map your asset base, current inspection programme, and CMMS setup. You leave week 1 with a written scope document and a fixed-price quote.
Criticality classification, inspection methods, and CMMS integration designed against your equipment types and regulatory framework.
Asset register, RBI scheduling, and anomaly management built in parallel, tested against real inspection data.
Integrity and inspection teams trained on the new workflow before full rollout.
Why this matters
The gap is rarely detection. Operators already run ultrasonic thickness surveys, magnetic particle inspection, and intelligent pigging. The gap is what happens to the reading afterward: a thickness measurement that is never trended against the previous one, an anomaly logged in a spreadsheet no risk model ever sees. Asset integrity software closes that loop by turning every inspection into a comparable, auditable data point.
Why us
The engineers who assess your asset base also build the solution. No bait-and-switch, no offshore handoff after the contract is signed.
We scope the work, calculate the cost, and lock it in writing before any development starts.
Real engagements across SaaS, fintech, healthcare, and logistics, not every one published as a named case study.
SAP PM and Maximo remain the system of record for work execution.
The risk model schedules more frequent inspection than the minimum, never less.
This is an integrity layer over your existing systems, not a replacement for them.
You run risk-based inspection programmes under API, ASME, or PHMSA codes and need regulatory minimum intervals enforced as a floor, never less.
You already run SAP PM or IBM Maximo and need inspection work to feed execution, not replace it.
You need corrosion trending and documented fitness-for-service close-out for anomalies.
You want to replace SAP PM or Maximo rather than add an integrity layer that feeds them.
You operate outside oil and gas and need a generic cross-industry asset system.
Scope and price
That covers an asset register, risk-based inspection scheduling, inspection result recording, and a management dashboard.
Adding anomaly management with fitness-for-service workflow and CMMS integration brings the total to $80,000 to $140,000.
Starting investment
$50,000-$90,000
A validated v1 ships in about 12 to 16 weeks at a fixed cost. Scope and cost are agreed in writing before any development starts.
Fixed price before development starts
Integrates with your CMMS, does not replace it
Proof
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
RaftLabs has been an exceptional partner. From the start, they became more than just a service provider, they embraced our vision with their expertise and dedication. We're proud of the result.
Jennyfer Ngueno
CoFounder & CEO, Sekou
"The collaboration was very well managed from start to finish."
James Foskin
Founder & CEO, TiAiMe Limited
Work with us
Tell us your asset base, current inspection programme, and CMMS setup. We'll scope an integrity platform built around your equipment types and regulatory framework.
Yes. We build the asset integrity capability as a layer that feeds data to the existing CMMS. Inspection work orders originate in the integrity platform and push to SAP PM or Maximo for execution; completion data flows back to update the inspection record.
Where a regulation sets a mandatory maximum inspection interval, as PHMSA Pipeline Safety Regulations and ASME/API codes do, the system enforces that interval as a floor below which the calculated interval cannot fall. The risk model can schedule more frequent inspection than the minimum but never less.
The risk-based inspection model follows API 580 and API 581, and the platform records inspections against the equipment-specific codes your programme runs under: API 510 for pressure vessels, API 570 for process piping, API 653 for storage tanks, and PHMSA and ASME requirements for pipelines. Intervals, thickness limits, and assessment methods are configured per code.
The platform is configurable for any inspection method: ultrasonic thickness measurement, magnetic particle inspection, dye penetrant testing, radiography, ACFM, intelligent pigging, visual inspection, and cathodic protection survey, across pressure vessels, pipelines, storage tanks, and rotating equipment.
A platform covering an asset register, risk-based inspection scheduling, inspection result recording, and a management dashboard typically runs $50,000 to $90,000. Adding anomaly management with fitness-for-service workflow and CMMS integration brings the total to $80,000 to $140,000.
Go deeper