Strategic collaboration

Paxon, Epik Solutions, and Sequantix

Paxon Energy and Infrastructure’s Intelligent Field Engineering capability is powered by a strategic
collaboration with Epik Solutions and Sequantix combining Paxon’s deep field execution expertise
with best-in-class digital platforms to deliver predictive intelligence for energy and utility operators.

How it works together: Paxon generates the field signals through its service lines. Epik digitizes those signals into structured, asset-linked data. Sequantix transforms that data into strategic collaboration intelligence. The result is a closed-loop system where field execution continuously improves through data-driven insights and every strategic collaboration is grounded in real operational reality.

The problem

Reactive operations are expensive operations

Most utilities discover problems after they’ve already become failures a leak, an outage, a compliance violation, a failed audit. By then, the cost is exponentially higher: emergency mobilization, regulatory penalties, unplanned capital, and public safety risk.

The data to mitigate these failures already exists inside your operations in inspection records, ILI runs, field observations, work orders, and condition assessments. The problem isn’t missing data. It’s that the data sits in disconnected systems, unlinked to assets, and invisible to the people making decisions.

Paxon changes the equation:

Every field signal links to an asset. Every asset accumulates a risk history. Every risk history feeds a prediction model. We work to mitigate failures before they happen.

Predictive intelligence in practice

What operators actually see

Paxon doesn’t just score risk it tells operators what’s trending toward failure, why, and
what to do about it.

Assess corrosion risks 18 months earlier with data-driven prioritization

Paxon combines ILI run data, soil conditions, pressure cycling history, and historical dig results to assess failure risk for every pipeline segment – then surfaces the highest-risk assets in a prioritized remediation queue before a leak or rupture occurs.

  • Metal loss growth rate trending
  • Pressure cycle fatigue correlation
  • HCA proximity risk escalation
  • Dig-or-defer recommendations with cost tradeoffs
Identify encroachment risks and prevent outages before storm season

Growth rate models, historical trim cycles, terrain slope, and fire-risk zone data converge to flag which spans will breach clearance thresholds weeks or months before a tree contacts a conductor.

  • Species-specific growth forecasting
  • Wildfire exposure scoring by corridor
  • Clearance breach probability by span
  • Storm-season prioritization queues
Catch quality issues in the field not in the audit

Automated evidence validation flags incomplete photo sets, missed checkpoints, and anomalous readings the moment they’re captured. QC exceptions surface in real time so rework happens the same day.

  • Same-day documentation completeness scoring
  • Photo evidence validation and geo/time verification
  • Inspector credential and qualification checks
  • NCR pattern detection across projects
Know which obligations are at risk before the deadline passes

Paxon continuously monitors open work, pending evidence, and approaching regulatory deadlines – identifying which compliance obligations are trending toward a miss and quantifying financial exposure.

  • Obligation deadline risk forecasting
  • Evidence gap detection across programs
  • Audit-readiness scoring by regulatory body
  • Violation probability with financial exposure modeling

The Paxon Process

Sense → Analyze → Act → Verify

Mitigation alone isn’t enough you need a closed loop that turns early warnings into
preventive action and proves the action was taken.

01

Sense

Field crews capture structured observations, measurements, and evidence linked to physical assets. Every data point becomes a signal that feeds risk models.

Raw signals accumulate

02

Analyze

Risk models compute failure probabilities, detect anomalies, and forecast trends surfacing the assets and programs most likely to cause problems next.

RISKS CAPTURED

03

Act

Prioritized risk queues drive work orders, remediation dispatch, and field routing directing crews to the right assets before failures occur.

HELP PREVENT FAILURES

04

Verify

Automated compliance checks and evidence validation confirm the preventive action was completed, documented, and audit-ready closing the loop.

Compliance proven

Every created loop helps make the next risk assessment more accurate. Field outcomes become training data. Overrides become model corrections. The system gets smarter with every cycle your teams execute.

Why you can trust our process

Built for operators, not data scientists

Field intelligence has to be trustworthy , explainable, and accountable. These aren’t
features they’re non-negotiable commitments baked into Paxon Process.

Asset-centric, not document-centric

Every risk score and recommendation traces back to a physical asset not a PDF. See the full risk history of any pipeline segment, pole, or corridor in one view.

Tenant-local by default

Risk models run inside your infrastructure boundary. Your operational data never leaves. Intelligence comes to the data not the other way around.

Compliance by construction

Audit trails, evidence chains, and regulatory mappings are built into every assessment and action. Compliance evidence is generated automatically.

Explainability over black boxes

Every risk score includes an explanation: which signals drove the result, confidence level, and what happens if the operator overrides it.

Under the hood

Three-layer intelligence architecture

Intelligence is only as good as the data and models behind it. Paxon’s architecture
ensures field signals flow cleanly, models run locally, and intelligence improves across
every deployment.

  • Real-time field data capture
  • Structured event ingestion
  • Evidence manifests with geo/time stamps
  • Multi-modal: photo, video, sensor, manual
  • On-premise or private-cloud deployment
  • Zero raw-data extraction by default
  • Full audit trail and chain of custody
  • Connectors to GIS, work orders, SCADA, and identity
  • Versioned model packages
  • Cross-deployment pattern learning
  • Ontology templates and evals
  • Federated learning coordination
Data sovereignty

Raw operational data stays inside your boundary. Model packages and policy updates flow through
governed registries. Your actions get smarter without your data ever leaving.

Deployment architecture

One platform. Three runtime patterns.

The same logical modules deploy across any runtime environment. Only placement
changes, never the product.

Shared platform layer identical across all three modes
Paxon Execute Paxon Control Paxon Insights MQTT Bus Object Storage AI / ML Models
On-prem only

Utilities, regulated infrastructure, air-gapped environments

All services, queues, object storage, MQTT, models, and data run inside the customer network.

Example fit

Major U.S. utility Regulated pipeline operators
Hybrid controlled

Customers with partial cloud allowance

Operational data, scoring, and workflows stay local; optional cloud for backup, central monitoring, or approved LLM calls.

Example fit

Utility operators Midstream operators
Cloud / managed

SaaS-style pilots, non-regulated deployments

All services deploy in managed environments with strict tenant isolation.

Example fit

Internal Paxon staging New customer pilots

Same platform, same APIs, same operator experience only the deployment boundary changes.

See Paxon in action

Whether you’re looking to identify pipeline risks earlier, prevent vegetation encroachment, or
prove audit readiness, request a demo to see how Paxon turns your operational data
into actionable intelligence.