Secure NEM data infrastructure, built for AI

Zero data tax. Instant dispatch insight.

Connect live National Electricity Market data directly to the AI tools you already use, like Claude, ChatGPT, Gemini and Copilot. No manual AEMO CSV cleaning. No broken and slow spreadsheets. Just instant market answers.

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Renovara›

Renewable Report · Detailed

Reporting

Show me the generator overview and performance summary for BERWA1

api.renovara.co · generator_summary

Generator overview

DUID: BERWA1
Station: Berwick Wind Farm
Region: VIC1
Nameplate: 180.0 MW
Fuel: Wind
Status: Active

Performance · [last_month]

Energy 42,588 MWh

Revenue $2.04M

Cap. factor 32.4%

What was the average QLD spot price during last week's interconnector constraint event?

api.renovara.co · dispatch_prices

Constraint window

Region: QLD1
Event: Interconnector constraint
Peak interval: 16:05 AEST
Resolution: 5-minute dispatch
Binding: QNI
Status: Resolved

Price summary · last 7 days

Average $95 per MWh

Peak $14,700

Intervals 2,016

The problem

Are you paying for market strategists or data wranglers?

The hidden data tax eating into your team's productive time.

The data slog

Analysts spend up to 40% of their week downloading, cleaning, and formatting raw CSV files.

Stale insights

Firms make high-stakes corporate decisions under a $23,200/MWh price cap using static spreadsheet data that is already hours old.

Hallucinations

Out-of-the-box generative AI models do not understand the live realities, regional constraints, and dispatch dynamics of the Australian energy market.

One question. Five and a half hours.

By hand

5 hr 30 min · six steps · not reproducible

08:00 Download the dispatch archive 288 five-minute files
08:35 Repair ragged headers
09:10 Find the missing interval
11:30 Map every DUID to its fuel
12:20 Merge into the 50 MB spreadsheet 1 hr to build, 4 min to run
13:30 Answer

With Renovara

2 min · one query · reproducible

08:00 “Which fuel set the SA price yesterday?” Asked in Claude, plain language
08:02 Answer Parsing, deduping, DUID mapping and the governed join already done at source

The five hours in between were never analysis. They were file handling.

One question. Three days.

By hand

3 days · six steps · not reproducible

Day 1 09:00 Pull 44 monthly price archives January 2023 to date, one zip per month
Day 1 14:30 Normalise regions and market time AEST throughout — market time keeps no daylight saving
Day 2 09:00 Bucket 1.9 M intervals by time of day 288 buckets × 5 regions × 4 years
Day 2 14:00 Rebuild a pivot for each year Four sheets, and they drift apart
Day 3 09:00 Draw the 12-month grid by hand 12 charts, four traces each
Day 3 16:00 Answer

With Renovara

4 min · one query · reproducible

09:00 “How have time of day prices evolved year over year from 2023 to now? Show me a 12 month grid with time of day price and year trace charts.” Asked in Claude, plain language
09:04 Answer 12-panel grid, one trace per year, straight from 1.9 M dispatch intervals

Three days of preparation for one comparison. The comparison itself took four minutes.

The solution

Renovara: the direct data bridge for the NEM.

Founded by Andrew Coffey, an energy sector veteran with over 20 years of market experience. Renovara is a secure data layer that grounds your AI tools in live market reality.

See pricing

Accuracy

Grounded intelligence

Remove AI hallucinations. We anchor your queries in 5-minute AEMO settlement data for absolute accuracy.

Speed

Speed to insight

Volatility demands speed. Compress hours of manual spreadsheet reporting into a 60-second natural language query.

Security

Data sovereignty

Our secure server architecture ensures your proprietary asset strategies and client queries remain strictly localised.

Setup

Zero-IT onboarding

Designed for energy professionals, not software engineers. Connect via our MCP server in under 5 minutes without a corporate IT overhaul.