PROVE PERFORMANCE
BEFORE FIRST DISPATCH.

A storage project stands or falls on its revenue model — and lenders discount best-case decks. Avrenix runs a transparent, method-based model on the target node's own history and shows the range, including the downside a lender can underwrite. The model you diligence with is the one you operate with.

Front-of-Meter engines

Included on a Front-of-Meter plan

Bankable downside

Worst-case

The number that sizes the debt

On the node's own data

12 mo

Walk-forward, not a best-case deck

Diligence = operation

Same model

One model, underwrite to run

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.

Prove the revenue before you build

STRIX HELIOS

A project is only as good as its revenue case. STRIX runs your dispatch plan against 12 months of the target node's history and returns the bad-, likely- and good-case revenue an investment committee actually needs. Walk-forward against baselines with significance tests (P10/P50/P90).

Bankable, not optimistic

FENRIR STRIX

Lenders discount best-case decks. Avrenix shows the worst case too — the downside that sets how much debt the project can carry. Worst-case dispatch plus Monte-Carlo tail bounds.

Pick sites on how they really behave

SPECTER

Nodes aren't interchangeable — congestion and volatility differ site to site. SPECTER profiles how a node actually behaves so you compare sites on reality, not nameplate. Node behaviour embeddings.

One model, diligence to operation

KAIROS HELIOS

The model you underwrite with should be the one you run. The same engines that backtest the project operate it live, and KAIROS explains any gap against the pro forma. Shared forecast and attribution across backtest and live.

PROVE PERFORMANCEBEFORE FIRST DISPATCH.