For operations leaders under cost pressure
We use your future production data to forecast electricity demand — so your utility contracts are sized to what you'll actually need, not last year's peaks plus a buffer. If we don't save you money, you owe us nothing.
The Problem
Your ops team knows exactly what's running and when. But committed demand levels are set from historical peaks, not future production data.
Without visibility into future production data, they set demand from historical peaks plus an uncertainty buffer. That buffer runs 10-20% above what your facilities actually draw.
Procurement pads because they can't see the schedule. That's rational. But 15% of your electricity bill is a tax you don't have to pay.
The Solution
Production scheduling knows future workloads weeks in advance. Procurement never sees them. Elefore closes that gap—so contracts are sized to planned operations, not last year's peaks.
The Proof
A typical 50 MW food processing facility. Real tariff math. One quarter.
Manage multiple facilities? A 10-plant network at this scale: $25M/year in addressable capacity.
Industries
Total estimated addressable capacity per year (US Market). Global operations multiply the opportunity.
Case Study Preview
Based on published EAF demand profiles, public tariff structures, and AIST technical benchmarks. Facility name withheld. The math is real.
October: the heat schedule showed a planned reline and reduced production. The forecast saw it 6 weeks ahead. The old contract didn't.
Methodology: Based on published AIST EAF demand profiles and public utility demand charge tariffs. Proprietary ML forecast methodology. Full details available on request.
How It Works
We analyze your utility tariff structure using public data only. You receive a Preliminary Value Assessment estimating your uncertainty tax. No access to your systems. No commitment.
We run our forecast alongside your utility contract demand levels. Read-only. Zero IT integration. Regular check-ins to review accuracy. At the end, you see exactly where our recommendations would have reduced committed demand levels.
You adjust your next contract based on the pilot data. We take 25% of verified savings. You keep the rest. If we don't find savings, you owe nothing.
We don't need a meeting to prove the math. Send us your basic facility profile, and we'll send you a Preliminary Value Assessment of your estimated uncertainty tax. If the numbers make sense, then we talk.
No upfront cost. We take 25% of verified savings. You keep the rest.
For the preliminary analysis: nothing. We use public tariff data and facility metadata to estimate your uncertainty tax. If the numbers look promising, the next step is a 90-day pilot, which requires a production schedule export and 12 months of interval meter data.
No. No system integration. No IT security review. No BMS access. We work from a production schedule export and interval meter data -- both of which your energy or operations team already has.
You owe nothing. The preliminary analysis is free. The 90-day pilot is free. We only earn when you save. No savings, no payment.
Nothing changes. We run our forecast in parallel alongside your existing contracts. No changes to procurement. No changes to operations. At the end you see a comparison: what your committed demand was vs. what it could have been with schedule visibility.
The preliminary analysis takes days, not months. The 90-day pilot produces a detailed value report. Savings begin when you apply the results to your next contract renewal or renegotiation.
Yes. Each facility gets its own model trained on its specific load profile and production schedule. We start with one facility to prove value, then expand across your network.
Every kilowatt-hour of reduced over-commitment is a kilowatt-hour that did not need to be generated. Right-sizing your contracts reduces both cost and Scope 2 emissions at zero capital expenditure.
Elefore was founded by Michael Ochs, a former Microsoft and Siemens industrial AI engineer who spent a decade building systems for energy-intensive manufacturing. The company is purpose-built to solve this one problem: connecting production schedules to energy procurement.