Powered by Generative AI

Generative AI
for the Energy
Long Tail.

Intelligent energy management relies on expensive human integrators. Avrio Energy replaces them with autonomous AI agents and multimodal foundation models. We bring GenAI to the physical world—automating energy optimization for distributed commercial assets with zero-downtime reliability.

Avrio GenAI Context
Engine
Multimodal Inference
🍔 QSR-492
🛒 Store-12
The Ignored Market

Three walls blocking the long tail.

The thousands of QSRs, dark kitchens, and retail outlets operate on thin margins and no dedicated technical staff. The traditional ESCO model hits three hard limits here.

The Economic Ceiling

A traditional energy management engagement costs more than the entire annual energy savings potential at a single small commercial location. So they are ignored, and they bleed capital.

The Labor Bottleneck

Reaching the long tail requires physical presence. Skilled energy technicians are scarce. Any solution built on specialist deployment hits a ceiling before it reaches scale.

The Trust Gap

Customers are asked to purchase hardware, wait 90 days, and trust that savings will materialize. Without a low-friction way to prove value before money changes hands, the sales cycle stalls.

The Avrio Solution

Agentic Workflows at Software Scale

A proven, self-funding model powered by multimodal GenAI to break through the operational and labor walls of traditional energy management.

Centralized Bill Pay 8-10% Savings
Disputed Readings Found: 3
Tariff Misclassification: -$420/mo
1

Land: Multimodal Bill Parsing

We enter where no one else looks: the unstructured data of utility bills. Our multimodal LLM instantly ingests multi-page PDFs across hundreds of fragmented DISCOM formats. Within seconds, the AI surfaces 8–10% in hidden savings—identifying disputed readings and tariff misclassifications before a single device is installed.

2

Prove: Vision AI Engineering

No manual engineering. Vision-language models (VLMs) process Lidar scans and electrical panel imagery to auto-generate Single-Line Diagrams (SLDs) and investment-grade ROI proposals in minutes. The first hardware sale eliminates the largest penalty, with ROI verified on the next billing cycle.

// Vision-Language Model Output
> Ingesting LiDAR & Panel Image...
> SLD Auto-Generated. Confidence: 99.2%
GenAI Insight: Install AI-Panel to automate peak shaving. Avoid $450/mo penalty. ROI: 2.1 months.

Walk-in Freezer #2

Agent Active

GenAI predicted failure. Auto-dispatched repair SOP.

3

Expand: Agentic Operations

With value proven, agentic AI workflows take control. Our GenAI Context Engine orchestrates autonomous peak-shaving, predicts motor failures, and dynamically translates dense equipment manuals into localized SOPs for non-technical retail staff. We move from analytics to generative, autonomous infrastructure.

4

Monetize: The Energy Marketplace

We hold an information asymmetry no vendor can match. We know exactly which ageing motor needs replacement and what spec fits the load profile. Avrio becomes the point of sale for every energy capital decision, brokering upgrades through verified vendors at a transaction margin—targeting replacement budgets already being spent.

⚙️
Motor Retrofit
Recommended
❄️
Inverter HVAC
🔋
Battery Storage

Our Unfair Advantages

We are building highly defensible, compounding moats driven by proprietary training data.

1. Foundation Model Data

We are building the first domain-specific foundation model for commercial equipment behavior. By automatically extracting electrical signatures across thousands of real-world audits, our AI pre-identifies equipment degradation models without needing 30-day baselines.

2. Multimodal Deployment

Our workflow allows basic field contractors to execute audits in under an hour using spatial LiDAR and Vision LLMs to auto-classify equipment. Cloud algorithms validate phase wiring in real-time, delivering enterprise-grade intelligence at field-contractor cost.

3. GenAI Trades Copilot

Every site visit, video walkthrough, and panel state is recorded as training data. At scale, this builds a Generative AI Copilot providing real-time, conversational diagnostic guidance to less-skilled electricians—multiplying field capacity and creating a vocational training platform.

The Verticalization Flywheel

We learn once, and scale everywhere. Optimize one footprint, and our Context Engine instantly "copy-pastes" that intelligence across global locations.

🍔 QSR Chains
🏍️ Dark Stores
🛒 Grocery Chains
👕 Fashion Retail
🏦 Banks / Fin. Inst.
🏋️ Fitness Centres
⛽ Fuel & Retail
⚡ EV Charging

Start from the top of the funnel.

Let us handle centralized bill payment. We'll find 8-10% hidden savings in your utility data before a single device is installed.