Save 10% of your energy bill. No new hardware.
Illustrative product demo. Sample data — not connected to any live building management system.
Your building's energy forensics partner.
You know him. Long ponytail. Oval glasses.
You show him a thousand data points. He looks at them, says nothing, and points at the only one that truly matters.
Ponytail is software. It just happens to work like him.
Buildings drift out of tune, and no one notices.
Changes go unlogged. A tech fixes a hot office or overrides a weekend schedule, then moves on. Nobody writes it down.
The drift goes unnoticed. The building runs wrong for months. You find out when the bill is already paid.
The cause takes days to find. Digging through logs across dozens of buildings to see what changed, where, and when.
Simple onboarding. No new equipment
Plug into your existing data
Ponytail reads from the automation system you already run. Metasys, Niagara, BACnet. A read-only connection, no new hardware, live in days.
Ponytail reads every signal overnight
Meters, schedules, setpoints, runtime, weather. Ponytail compares every building to how it should behave and flags the few that have drifted.
You work a short, plain list
Each finding names the building, the change, the date, and the cost. Your team reverts the bad ones in the BMS. Ponytail confirms the fix held.
Ponytail investigates the way your team would, if it had time to check every building, every night.
Large campus systems don't lack alerts. They produce thousands. A small energy team can't act on all of them, so they form a theory and investigate.
Ponytail's AI agents do the same work. Not one model producing one answer, but a panel of agents that proposes a theory, tries to break it, and only lets it through if it survives.
Proposer
Drafts the strongest explanation for the problem, with its assumptions and what would prove it wrong.
Skeptic
Looks for a simpler explanation. If an ordinary cause fits the data, the finding is dropped.
Physicist
Checks it against physical reality. A kitchen can't burn more steam than its equipment is rated for.
Cost auditor
Recalculates every dollar as cost × quantity. If the math isn't shown, the number is left out.
Occupant advocate
Guards comfort. A fix that saves energy but leaves rooms too warm or too cold doesn't count.
No AI reviews its own work. The AI that judges a finding is never the one that proposed it.
Pay nothing until you can prove the savings
The fix shows up in your building's trends right away; a saving only counts once the meter confirms the dollars. Until then it shows as “at risk,” never as confirmed savings.
Every dollar is backed by its math
Each figure is price × quantity, checked separately. If the arithmetic isn't shown, there's no number.
Every number traces back to your data.
The panel can only cite the building data it was actually given, and it states plainly what it can't determine.
Works with the system you already have.
A read-only link to your building management system. Nothing to install, nothing to learn.
Less waste, caught in hours, with proof for leadership.
“I used to find these problems in the spring, after we'd paid for them all winter. Now I get the list every morning, with the cost next to it. My team just works it down.”
Notes from real campus investigations.
Real cases from large campuses — the wrong turns, the debates, and what finally solved them.
How a Faulty Meter Tripled Our Steam Reading
Steam use at our Central Dining Hall tripled in two years, and the meter had an airtight story for why. It was wrong. A whodunit about dead-end theories, two AI assistants arguing with each other, and the wrench that finally told the truth.
18 of 20 Sensors Were Reading Low, and We Almost Fixed the Wrong Thing
We pulled a 30-year-old steam distiller out of Garwood Hall to cut steam load. The steam went up instead. Chasing why ran through simultaneous heating and cooling in July, an AI that confidently misdiagnosed a room, and the discovery that eighteen of twenty zone sensors had been quietly reading low.
You pay a fraction of what Ponytail saves you.
A flat annual subscription, scaled to your campus and your energy spend. Built for portfolios over $1 million a year. It pays for itself in the first few findings, then keeps paying.
- ✓Every building, no per-point metering
- ✓Overnight findings with evidence attached
- ✓Leadership-ready savings reporting
- ✓Read-only. No new hardware, ever
Connect Ponytail to your buildings.
Give Ponytail read-only access for two weeks. It comes back with the findings already costing you money, and you decide if it's worth keeping.