For energy professionals
Your expertise, powered by data
Sustainability consultancies, energy auditors, and building engineers spend 60% of every engagement on data. Wattif does that part. Your team focuses on the advice and strategy that clients actually pay for.
Your clients need more. Your team is maxed out.
AASB S2 mandatory climate reporting starts in 2025. NABERS is expanding to retail, hotels, hospitals. Every building owner needs measured performance data, not models. Your phone is ringing. You cannot hire fast enough.
The data problem
40-60% of every engagement is collecting, cleaning, and reconciling energy data from BMS exports, bills, and spreadsheets.
Your experts are doing data entry.
The scale problem
A Level 2 audit takes 3 weeks. A NABERS assessment takes a week. AASB S2 needs all buildings, not one. Your team can't keep up.
Demand is outpacing capacity.
The proof problem
You deliver a report. It goes in a drawer. You never know if recommendations were implemented or if savings materialised.
No ongoing revenue. No proof of impact.
Computed intelligence
Not dashboards. Not raw data. Computed intelligence.
Wattif doesn't store your data and show it back to you. It continuously computes intelligence so the answer is ready before you ask.
Baselines and patterns
What the building normally uses, by hour, day type, and season. The foundation every comparison is built on.
Waste and anomalies
After-hours usage, overcooling, equipment drift. Quantified in dollars. Detected automatically, continuously.
Equipment health
Degradation trends, efficiency drift, predicted time-to-failure. From actual operating data, not inspections.
Capacity and constraints
Contracted capacity, demand limits, penalty thresholds. What headroom exists and when it's available.
Simulation
What if we add solar? Replace a chiller? Add EV chargers? Shift the operating schedule? Modeled against real building data.
Forecasts
Load forecasts, cost projections, demand predictions. Forward-looking intelligence, not just historical reporting.
Who this is for
Built for professionals who advise on buildings. Not another dashboard.
Your team spends 60% of every engagement collecting and cleaning data. AASB S2 mandatory reporting is creating demand you can't staff for. Wattif does the data work so your experts focus on strategy, advice, and the judgment calls that actually matter.
“I have 40 NABERS assessments due this quarter and 3 consultants. AASB S2 reports start in July. We physically cannot collect the data fast enough.”
Your team is the bottleneck. AASB S2 mandatory climate reporting is creating a surge in demand you cannot staff for. Every engagement starts with weeks of data collection. Wattif does that part continuously, so your consultants walk into every engagement with baselines, anomalies, and emissions already computed. Serve 3x more clients with the same team.
Prepare the AASB S2 climate disclosure data for the Meridian Property Trust portfolio. 23 commercial buildings across NSW and VIC. I need Scope 1 and 2 emissions, energy intensity by building, and year-on-year trend.
Portfolio total: 12,847 tCO2-e (Scope 1: 1,240, Scope 2: 11,607). Average EUI: 168 kWh/m2, down 4.2% YoY. 4 buildings above NABERS 4-star threshold. Worst performer: 55 York St at 214 kWh/m2 (after-hours HVAC running 14hrs/day vs 10hr design). Best improver: 120 Collins, down 11% after chiller plant recommissioning in Q2. Full building-by-building breakdown ready for your report template.
“A Level 2 audit takes us 3 weeks per building. We deliver a PDF. The client puts it in a drawer. We never know if they implemented anything.”
The audit business model is broken: high cost per site, no recurring revenue, no proof of outcomes. Wattif turns a point-in-time audit into continuous intelligence. Your auditors spend their time on recommendations and client strategy, not data collection and spreadsheet modelling. And you can offer ongoing M&V as a subscription, not a one-off report.
Run a Level 2 energy audit scope for the Brookfield Tower in Sydney CBD. Baseline the last 12 months, identify all waste streams, quantify each in dollars, and model the top 5 interventions with payback.
Annual energy cost: $487K. 5 waste streams identified totalling $94K/yr. 1) After-hours HVAC: running until 11pm vs 7pm occupancy, $38K/yr, schedule fix, payback immediate. 2) Chiller COP degradation: 3.6 vs 4.8 design, $24K/yr, condenser clean, payback 2 months. 3) Simultaneous heating and cooling L4-L6: $18K/yr, damper recalibration. 4) Base load 40% above benchmark overnight: $9K/yr, investigation needed. 5) Demand overshoot 3 events/month: $5K/yr, staggered startup. Total recoverable: $94K/yr, 19% of spend.
“We designed this building to NABERS 5-star. It is operating at 3.5. The client is asking why. We have no visibility into what happened after handover.”
The performance gap between design intent and operational reality is the most expensive unsolved problem in building engineering. Wattif gives you continuous post-occupancy intelligence: what the building is actually doing, how it compares to your design model, and exactly where and why it drifts. Turn a reputation risk into a competitive advantage by offering performance guarantees backed by real data.
Compare actual performance of 100 Market Street against our design energy model. We specified NABERS 5-star. Flag every system drifting more than 15% from spec and explain why.
EUI 185 kWh/m2 actual vs 162 design (NABERS 3.5 vs 5.0 target). Gap is 85% HVAC-driven. L3 east wing: +31%, HVAC schedule 5:30am-10:30pm vs 7am-7pm design (trading desk early arrivals, not communicated at brief). L7 meeting rooms: supply air 1.8C below setpoint, sensors need recalibration. Base building chiller sequencing not matching design intent: lag chiller activating at 60% load vs 80% spec. Correcting these 3 issues recovers an estimated 2.8 NABERS stars worth of performance.
How it works
We handle everything. You ask questions.
We handle the data. You don't have to.
Most companies that need energy intelligence don't control the building's data. A bank doesn't have meters in the property they're lending against. An insurer doesn't have sensors in the building they're underwriting. An EV network doesn't have load data from the site they want to assess.
Wattif solves this end to end. If the building already has data, we connect to it. If it doesn't, we install sensors that start streaming within hours. Either way, you never think about data infrastructure. You think about the questions you need answered.
Building has existing data
BMS, meters, IoT platforms
Building has nothing
Wattif handles it
Wattif builds deep intelligence automatically
Within days, Wattif computes baselines, detects anomalies, maps correlations, models equipment degradation, understands operational constraints, and runs simulations. No configuration. No rules to write. It learns the building from the data and keeps learning as conditions change.
Ask from the tools your team already uses
Wattif connects to Copilot, Gemini, Claude, and ChatGPT. Your team opens the tool they use every day, asks a question about any connected building, and gets real numbers back. No new software to learn. No dashboards to check. The intelligence meets you where you already work.
Portfolio energy trend this quarter?
Simulate adding 200kW solar to Building 7
Which 3 buildings have the highest waste?
End to end
Your client's building. Our data infrastructure.
You advise on the building. You don't control its data. That's our problem to solve. Wattif connects to existing BMS and meters, or installs sensors if nothing exists. You get computed intelligence from day one. No spreadsheets. No site visits for data collection. No waiting.
Today
With Wattif
Your next engagement could take days, not weeks.
Connect your first building. See the intelligence compute in real time. Ask it a question your team usually spends a week answering.