Wattif
The Loop/Optimize
Wattif works when you're not looking

Most energy platforms show you the problem. Wattif fixes it.

Automated peak shaving. Pre-conditioning. EV scheduling. Load shifting. Cross-asset coordination. Every decision logged, every action explained, every outcome measured.

Optimize doesn't wait for instructions. It runs continuously, making hundreds of micro-decisions across your portfolio while you sleep. When you wake up, it tells you what it did and why.

This isn't a recommendation engine. This is an energy team that actually does the work.

Energy optimization that requires a human isn't optimization.

Your BMS has schedules. But schedules don't know about tomorrow's weather.

Your energy manager adjusts setpoints. But they go home at 5pm.

Your consultant recommended pre-cooling. But nobody implemented it.

Your peak demand keeps climbing. Because nobody's watching at 2:47pm when all three chargers fire simultaneously.

Wattif Optimize runs 24/7.

Every decision is logged. Every action has a reason. Every outcome is measured against what was predicted.

Five things that happen without you.

These aren't features. They're things your building does every day, automatically.

Peak shaving

At 2:32pm, load hits 458 kW against a 500 kW limit. Optimize dims Warehouse B lighting 15%, pauses Charger C, and shifts the dock door heater to the next window. Peak held at 462 kW. You never knew.

Pre-conditioning

Tomorrow's forecast: 38°C. Optimize starts cooling at 5:15am instead of 6:00am, using cheaper off-peak power. By the time people arrive, the building is comfortable and the afternoon peak is 12% lower.

EV scheduling

Three fleet vehicles need to charge. Dispatch is at 6am. That's 12 hours of flexibility. Optimize charges during off-peak windows, pauses during the evening sort, and resumes at midnight. All three ready by 5:45am.

Time-of-use shifting

The tariff switches to peak at 2pm. Optimize pre-runs the compressors at 1:30pm, building thermal mass. Refrigeration coasts through the peak window. Same temperature. Lower cost.

Cross-asset coordination

This is the one humans can't do. When the sort window starts, conveyors spike. Optimize has already pre-cooled, paused non-critical chargers, and dimmed warehouse lighting. The peak that should have been 520 kW lands at 468 kW.

Single-asset optimization finds 5–10%. Cross-asset coordination finds 20–35%. The difference is orchestration.

See what Optimize actually does. Every day. Without being asked.

These aren't mock-ups. This is what your morning briefing looks like when Optimize has been running overnight.

What happened overnight

7:12 AM · Wednesday · Adelaide Gateway

Optimization Engineer

Online · Adelaide Gateway

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Every action timestamped. Every reason documented. The facility manager didn't need to review logs or check dashboards. The optimization happened, and the morning briefing took 10 seconds to read.

What if?

Tuesday · Fleet expansion meeting

Optimization Engineer

Online · Adelaide Gateway

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The fleet expansion decision just changed. Not “can we afford the grid upgrade?” but “we don't need one.” That's the difference between a dashboard and an optimization engine.

Safety override

Friday · Client visit

Optimization Engineer

Online · Adelaide Gateway

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Human override with zero drama. Wattif doesn't fight you — it accommodates and tells you the cost. When the override expires, normal optimization resumes automatically.

Comfort guaranteed. Safety non-negotiable.

Temperature bands always respected

Comfort setpoints define hard limits. The optimizer works within them, never outside. Occupants never notice.

Food safety limits maintained

Cold chain constraints are non-negotiable. Refrigeration loads are only shifted within safe temperature windows.

Equipment cycling limits enforced

Minimum run times and cooldown periods are built into every decision. No short-cycling. No compressor damage.

Human override always available

Any automated decision can be overridden instantly. Lock a setpoint, exclude an asset, or pause optimization entirely.

See Optimize running on your sites.

Not a demo environment. Not sample data. We'll show you what autonomous optimization looks like on a real building with real loads, real tariffs, and real results.

Talk to us

Or email hello@wattif.io