TwinEdge Inspection OS

Utility infrastructure inspection and asset decision support, from CCTV video to rehab priority.

Inspection OS manages CCTV, smoke testing, hydrant, cleaning, and stormwater inspections in one governed workflow: AI-assisted, NASSCO PACP-aligned defect coding drafted for human review, ESRI GIS condition maps, configurable risk and prioritization models, offline mobile field collection, and evidence that follows every repair-rehab-replace decision.

Inspection OS connected systemCCTV video to certified codes, condition maps, risk scores, and rehab decisions in one operating layer.PACP alignedHuman reviewEvidenceINSPECTION SOURCESVIDEO TO DECISION SPINEGOVERNED ACTIONConnectsystems already in useCCTV truckCUESGraniteESRI GISSmoke testHydrantinspection recordslinked to each assetasset identity, lineage, condition, validation, evidenceVideo intakebulk uploadAI draft codingPACP alignedHuman certifyreview workspaceCondition scoresegment + basinGIS condition mapESRI syncRisk modelcity-tuned weightsAssetsPACP codesScoresEvidenceReplayReview queuecertify draftsRehab decisionrepair / line / digCIP exportevidence attachedreplay + auditINSPECTION PROGRAM WORKFLOWSCCTV / PACPvideo to certified codesSmoke testingI&I evidence by basinHydrant + cleaningfield forms, offline syncStormwaterstructures and outfallsOne operating story:footage becomes certified codes, codes become scores,scores become rehab priorities, and evidence follows the decision.UTILITY OUTCOMESHit cycle goalsfive-year inspection paceCut coding timeAI drafts, human certifiesTarget I&Ibasin-level defect evidenceDefend the CIPdecisions trace to footage

AI-drafted PACP coding

CCTV data management

ESRI GIS sync

Condition scoring

Risk and rehab models

Offline field collection

Inspection OS connects inspection video, reviewed defect codes, GIS condition maps, risk models, and rehab decisions inside the TwinEdge operating layer.

Workflow

From inspection footage to prioritized renewal work

Inspection OS turns inspection video, field observations, and asset context into reviewed defect codes, condition scores, and defensible repair-rehab-replace decisions.

Capture and ingest inspections

Bring in CCTV inspection video, smoke testing, hydrant, cleaning, and stormwater inspections from crews and contractors, with media stored against the right manhole, segment, or asset — online or offline in the field.

Draft defect codes for human review

AI processes inspection video and drafts NASSCO PACP-aligned defect codes with location and context. Reviewers accept, edit, or reject drafts in a coding queue before anything feeds a score.

Score condition and prioritize action

Reviewed defects drive condition scores and configurable risk and prioritization models, so repair-rehab-replace decisions, rehab queues, capital plans, and work orders trace back to evidence.

Capabilities

Inspection OS capabilities

A packaged inspection and asset decision layer for municipal wastewater and stormwater utilities working toward CCTV cycle goals and I&I rehab priorities.

AI-assisted CCTV defect coding

Inspection video is processed into draft NASSCO PACP-aligned defect codes with a human review queue, so coding capacity stops being the bottleneck without giving up reviewer control.

Inspection data management

CCTV, smoke testing, hydrant, cleaning, and stormwater inspections with video and image storage linked to assets, searchable history, and inspection status across the network.

ESRI GIS integration

Bidirectional ESRI integration keeps the asset base in sync and renders condition, risk, and inspection coverage on the maps utilities already maintain.

Condition scoring and risk models

Condition scores from reviewed defects feed configurable risk and prioritization models for repair-rehab-replace decision support and capital planning input.

Offline mobile field collection

Crews capture inspections, photos, measurements, and notes on mobile devices that keep working without connectivity and sync evidence back to the asset record.

Dashboards, reporting, and access control

Program dashboards, automated reporting, and role-based access keep inspection progress, coding backlog, and rehab decisions visible to the right people.

Inspection program operations

Run the inspection program against cycle goals, not just individual videos

Utilities chasing five-year CCTV cycle goals and I&I reduction need program-level visibility: what is inspected, what is coded, what is waiting, and where the next crew or contractor should go.

Cycle coverage tracking

Track inspected footage and assets against cycle targets by basin, sewershed, or asset class, so gaps and re-inspection needs stay visible.

I&I evidence in one place

Smoke testing results, CCTV defects, and flow context connect on the same assets so inflow and infiltration rehab candidates are backed by evidence, not anecdote.

Contractor and crew data intake

Inspections from in-house crews and CCTV contractors land in the same asset-linked store with consistent review, instead of living on drives and DVDs.

From condition to capital

Condition data that actually reaches the rehab and capital decision

The value of an inspection program is the decisions it supports. Inspection OS carries reviewed condition data into risk models, rehab queues, work, and capital planning on the same TwinEdge spine.

Configurable risk and prioritization

Combine condition, criticality, and consequence inputs into utility-configured models that rank repair, rehabilitation, and replacement candidates.

Decision support with evidence

Every rehab candidate links back to the defects, video, scores, and model configuration behind it, so engineering review and board questions have answers.

Capital planning and work handoff

Approved priorities move into capital plans and AssetOps work orders, with field verification and closeout evidence returning to the same record.

Inspection OS scope

Inspection and decision-support coverage

The page stays focused on utility infrastructure inspection, defect review, condition scoring, and rehab decision workflows.

CCTV inspectionsNASSCO PACP alignmentAI-drafted defect codesCoding review queueSmoke testingHydrant inspectionsCleaning recordsStormwater inspectionsAsset-linked videoImage evidenceESRI ArcGIS syncCondition scoringRisk modelsRepair-rehab-replaceI&I prioritizationCycle goal trackingRehab queueCapital planning inputOffline field collectionAutomated reportsRole-based accessWork order handoff

Engineering controls

Governed controls for inspection-driven decisions.

Inspection OS supports AI-assisted defect coding, condition scoring, and rehab prioritization without claiming autonomous coding, uncontrolled work dispatch, or replacement of existing inspection and GIS systems.

Advisory first

AI drafts NASSCO PACP-aligned defect codes from inspection video; reviewers accept, edit, or reject every draft before it counts.

Human review

Defect coding decisions, condition scores, and risk model inputs stay traceable to the reviewer and the configuration that produced them.

Evidence by default

Inspection video, images, defect codes, field notes, score inputs, and rehab decisions remain connected to the asset record for review.

Source system respect

Inspection OS works above CUES, GraniteNet, ESRI, CMMS, and flow-monitoring systems instead of replacing them.

Outcomes

How it benefits wastewater and stormwater utilities

Utilities benefit when inspection footage, defect coding, GIS, risk models, and rehab decisions stop living in separate systems, drives, and spreadsheets.

Inspection and collection teams

Clear the coding backlog with AI-drafted, reviewer-approved defect codes, and see inspection coverage against cycle goals instead of counting videos.

Engineering and asset managers

Work from condition scores and configurable risk models that trace to reviewed defects, and defend repair-rehab-replace calls with connected evidence.

Utility leadership

Show inspection cycle progress, I&I rehab priorities, and capital needs from one governed record when boards, regulators, or ratepayers ask why.

Connected platform

How Inspection OS works with the systems utilities already have

Inspection OS is the connected inspection and decision layer above existing CCTV, GIS, and maintenance systems. It keeps each source system in place while giving teams one context for coding, scoring, and rehab decisions.

CCTV inspection systems (CUES, GraniteNet), ESRI ArcGIS, CMMS/EAM, flow monitoring, and permit systems keep their role.

Inspection OS maps inspections, defect codes, media, condition scores, risk models, rehab candidates, and work into the TwinEdge operating spine.

ESRI GIS integration stays bidirectional so condition and risk render on the maps and asset layers utilities already maintain.

AI-drafted defect codes remain advisory and pass through human review before they feed condition scores or rehab decisions.

AssetOps EAM and TwinEdge Field turn approved rehab priorities into work orders, field tasks, inspection protocols, and closeout evidence.

Wastewater OS collection workflows, DataOps, Capital Planning, APIs, and MCP reuse the same inspection context instead of copying it.

Frequently asked questions

Questions about TwinEdge Inspection OS

Clear answers for buyers, operators, engineers, and evaluation teams.

Does Inspection OS automatically code CCTV defects?

Inspection OS processes inspection video and drafts NASSCO PACP-aligned defect codes, but the drafts are advisory. A human reviewer accepts, edits, or rejects each draft before it feeds condition scores or rehab decisions.

Does it replace our existing CCTV software or GIS?

No. Inspection OS works above existing systems such as CUES, GraniteNet, and ESRI ArcGIS. Inspection data and media connect to the TwinEdge asset record, and GIS integration stays bidirectional so your ESRI maps remain authoritative.

What inspection types are supported?

CCTV inspections, smoke testing, hydrant inspections, cleaning records, and stormwater inspections, with video and image storage linked to the assets they describe and offline-capable mobile collection for field crews.

How are risk and prioritization models configured?

Condition scores from reviewed defects combine with utility-configured criticality and consequence inputs. Model configuration stays visible, so every repair-rehab-replace ranking can be traced back to its inputs and reviewed evidence.

Evaluate TwinEdge

Hit your inspection cycle goals and defend every rehab decision.

Start with CCTV intake and AI-assisted defect coding review, then expand across smoke testing, GIS condition maps, risk models, and capital planning using the same TwinEdge operating context.