Solutions→Advisory Firms
Solutions · Front-of-Meter · Advisory · Diligence & revenue modelling

ADVISE WITH
DEFENSIBLE NUMBERS.

Your clients pay for analysis they can stand behind. Avrenix gives you a transparent, method-based revenue model run on the asset's own history — with the downside quantified — instead of a black-box number. Every result traces to a cause you can put in front of a client.

Not a black box
Method
You can show the working
Downside quantified
Worst-case
Bad-, likely- and good-case
Validation baselines
5
Walk-forward, tested for significance
On the asset's own data
12 mo
Before any live control
The problem

WHERE THE MONEY IS WON OR LOST.

The specific problems this business faces — each handled by an engine your plan actually includes, not a heuristic.

Averages hide the risk

A revenue model built on average prices misses the outcomes clients care about. STRIX shows the bad-, likely- and good-case revenue and resolves the rare bad day instead of glossing over it. Thousands of Monte-Carlo paths, importance-sampled tail (P10/P50/P90).

“How confident are you?”

Clients ask how sure you are, and a single-number estimate can't answer. HELIOS wraps every forecast in a range that's calibrated on real outcomes, not assumed. Conformal prediction intervals with measured coverage.

Prove it beats the baseline

A number is only defensible if it beats a fair benchmark. Avrenix tests every result against standard baselines and reports whether the difference is real. Walk-forward against five baselines, Diebold-Mariano significance tests.

Explain the variance after the fact

When actual performance diverges from the projection, clients want the reason. KAIROS attributes the gap to specific drivers, not correlations. Causal-graph attribution, post-hoc.

Your engine suite

Also included on every plan
Chai intelligenceFull analyticsAutomation rulesSTRIX backtestNERC CIP-aligned security

GIVE CLIENTS NUMBERS THEY CAN ACT ON.
90 DAYS FREE.

No credit card. Put a defensible, method-based projection in your next storage evaluation — all seven Front-of-Meter engines active, run on the asset's own data.