// Autonomous Inspection AI

Zero-Shot Detection.
Self-Improving.
No Engineers Required.

VisorVolt is the only AI inspection platform that is also the GIS system-of-record — EnerGIS + SAP + OMS/SCADA. From raw drone imagery to filed compliance report, fully autonomous.

Request a demo → See how it works
11+ Asset classes in production
2 Live paying utility clients
$500K+ GIS switching cost moat
// The Problem

45% of US grid infrastructure
is over 25 years old.

Manual inspection creates a systemic liability gap that existing software has never closed. The cost isn't just operational — it's existential.

⚡

Undetected Faults

Aging infrastructure with no continuous monitoring. Faults compound invisibly until failure triggers outages, fires, or NERC violations.

📁

Dormant Data

Terabytes of drone imagery sit unanalysed. Without AI inference at the edge, data collection creates cost without creating intelligence.

🐌

Slow Field Auditing

Manual audits take weeks. By the time reports are filed, conditions have changed — and NERC FAC-003 deadlines don't wait.

📋

Administrative Friction

Compliance paperwork, work-order dispatch, and GIS updates are still done by hand — $200K+ per NERC violation for the errors that slip through.

// How It Works

Three Layers. Fully Autonomous.
Self-Improving in Production.

VisorVolt closes the entire inspection loop — from raw drone imagery to filed compliance report — without a single human touchpoint.

Layer 01 // Detection

Zero-Shot Detection

No Labelling Required

Our proprietary zero-shot pipeline identifies faults across poles, insulators, transformers, crossarms, and transmission towers — without pre-labelled training data. Start detecting from day one.

Layer 02 // Reasoning

Proprietary Reasoning Engine

Autonomous Prompt Optimisation

The reasoning layer contextualises detections against asset history, SCADA signals, and GIS metadata. It autonomously refines its own prompts to improve precision without engineer intervention.

Layer 03 // Action

Autonomous Action + Self-Improvement

QLoRA Self-Training Loop

Confirmed detections trigger QLoRA fine-tuning, dispatching work orders, generating NERC compliance packages, and updating GIS records — automatically, on-premises, inside your infrastructure.

// The Platform Moat

The Only Inspection Platform
That Is Also the System-of-Record

Every competitor integrates via API into a utility's existing GIS. VisorVolt IS the GIS — EnerGIS + SAP + OMS/SCADA. That difference creates switching costs no inspection-only vendor can replicate.

GIS System-of-Record

EnerGIS + SAP + OMS/SCADA

eSmart, AiDash, and Buzz Solutions all API into Esri/SAP. VisorVolt IS the platform. GIS migration cost: $500K–$1.5M. Migration timeline: 3–5 years. Switching cost compounds with every deployment.

On-Premises / Air-Gapped

The Only Fully On-Prem Inspection AI

All inference, QLoRA retraining, and agentic actions run inside the utility's own infrastructure. NERC CIP and BCSI-compliant by design. No imagery or PII ever leaves the client environment.

Multimodal Predictive

Vision + GIS + SCADA + Weather + Load

EnerGIS's OMS, load history, and asset age data fused with visual defect signals to predict failure probability before it happens. The confirmed white-space no competitor currently serves.

Compliance Automation

$200K+ Per NERC Violation

NERC FAC-003 carries the highest average penalty of any non-CIP standard. VisorVolt autonomously generates inspection evidence packages from detection output. Days of compliance prep reduced to minutes.

// Current Traction

Post-Revenue. Live Clients.
Active US Pipeline.

We build before we pitch. Here is where we are today.

2 Live Paying Utility Clients Post-revenue infrastructure inspection contracts at ₺2M/engagement. Validates commercial willingness-to-pay before a single US dollar is raised.
11+ Asset Classes in Production Real field imagery across poles, insulators, transformers, crossarms, and transmission towers. Proprietary dataset competitors cannot replicate without live utility access.
9 US Pipeline Prospects Regional utility operations in active discovery across rural electric co-ops and wildfire-state IOUs including PG&E network.
// Agentic Workflow

Six Workflows That Replace
Human Administration

Detection is the entry point. Once a fault is identified, VisorVolt agents execute the entire downstream operational chain autonomously.

Automated

Inspection Report Generation

Structured defect reports with severity scoring, asset location, and recommended action generated instantly from detection output.

Automated

Regulatory Form Completion

NERC and state wildfire-mitigation evidence packages generated autonomously. $200K+ per violation eliminated at the source.

Automated

Field Work Order Dispatch

NERC/FERC-aligned work orders created, prioritised, and dispatched to field crews — $42K–24hr repair cost visibility included.

Automated

GIS Layer Updates

Detection outputs written natively back to EnerGIS — the only inspection platform that IS the GIS system-of-record.

Automated

Autonomous Model Improvement

QLoRA fine-tuning loop triggered when confidence drifts — detection accuracy compounds with every utility deployment.

Automated

Hi-Priority Maintenance Scheduling

Critical asset failures escalated and scheduled autonomously — integrating with existing utility maintenance calendars.

// The Founder

Built by someone who
has done this before.

Umang Sharma — Founder & CEO, VisorVolt
Umang Sharma
Founder & CEO · VisorVolt

Published AI author, former Lead Applied Scientist at TomTom, and IIT/IIM visiting faculty. Umang has spent a decade building production AI systems at scale — from neural search engines serving millions of users to computer vision models for aerial and satellite imagery. He brings the same depth to critical infrastructure AI.

📚Deep Learning Author — Wiley · Featured in Google ML Crash Course
🏆Cannes Gold Lion Winner · AI Category
🎓Visiting Faculty · IITs & IIMs
🗺Ex Lead Applied Scientist · TomTom
🇺🇸US O-1 Extraordinary Ability Visa
⚡Ex Co-Founder & CTO · ThreeV Technologies (US VC-backed)
LinkedIn Profile umang.ipu@gmail.com
// Get Started

Ready to bring AI to
your infrastructure?

No large dataset. No workflow disruption. No data leaving your infrastructure. Start with 100 images and see results in days.

Request a demo → Talk to the founder

umang.ipu@gmail.com · visorvolt.ai · India & US