enerlyst.ai
actionware

No dashboards. Just decisions.

Your telematics tells you what happened. enerlyst tells you what to do — and how sure it is.

Ask in plain language. One finding, one action, and the confidence behind it.

enerlyst live answer
> Which of my vehicles won't finish tomorrow's shift?
WHAT WE FOUND
Seven vehicles are at risk, ranked. The highest is already running below the range it was commissioned at, on a route that needs 62 km.
WHAT TO DO
Reassign those seven to short routes tonight, before the shift is planned around them.
MODELLED · CONF: HIGH
Ask a follow-up…
SEE IT WORK

Three questions. Three answers you can act on.

enerlyst
Which packs should I rotate this month?
WHAT WE FOUND
About a third of the graded fleet sits in the high-risk band, another quarter in caution. Roughly 8% doesn't yet have enough data to grade.
WHY IT MATTERS
Onboard battery management would call nearly all of them operational — we flag 62% as watch-or-worse. That gap is where missed shifts come from.
WHAT TO DO
Start with the high-risk band. Rotate those packs onto short routes now and schedule replacement before they become downtime.
MODELLED · CONF: HIGH
enerlyst
Why is this battery degrading faster than the others?
WHAT WE FOUND
44% below claimed range for this duty cycle. Most of the decline traces to charging habits and maintenance gaps, with cell imbalance on top. That imbalance is service-recoverable, not terminal.
WHY IT MATTERS
Left alone, this pack is on a replacement trajectory within one to four months, not the years its age alone would suggest.
WHAT TO DO
Schedule a cell-balancing service before defaulting to replacement. Our recovery estimate says it is worth attempting.
MODELLED · ESTIMATED
Limited direct evidence for the imbalance mechanism.
enerlyst
Should we fund this fleet?
WHAT WE FOUND
16% top grade, 21% good, 26% caution, 37% high-risk.
WHY IT MATTERS
The high-risk third is the exposure that matters. Those are the units most likely to need early replacement or restructuring inside the loan term.
WHAT TO DO
Get loan-to-value and remaining tenure before underwriting. We flag that gap rather than guess at it.
MODELLED · CONF: MEDIUM
This fleet's LTV and tenure inputs aren't in the system yet.

Every answer carries its evidence and its confidence. When we don't know, we say so.

WHY IT'S DIFFERENT

Four things, every time.

01

What's happening

The finding, grounded in physics — not pattern-matching against other batteries.

02

Why it matters

The consequence, in your terms. A lender hears risk. An operator hears downtime.

03

What to do

One action. Not a menu, not a dashboard to interpret.

04

How sure we are

Confidence, disclosed, always — including when it's low.

IT DOESN'T WAIT TO BE ASKED

Agents that run continuously — not on a reporting cycle.

When something changes that matters, the person who has to act hears about it — in their own language, with one recommended action and the confidence behind it.

Portfolio risk

Watches — grade movements, covenant exposure and collection risk across a financed fleet.
Surfaces — a grade dropping toward a covenant floor, weeks before the breach.

Fleet operations

Watches — degradation, charging behaviour and downtime risk, vehicle by vehicle.
Surfaces — which packs to rotate this month, ranked, with what changed.

Service triage

Watches — incoming complaints, routed against physics rather than arrival order.
Surfaces — a cell-imbalance case that is service-recoverable, before it becomes a replacement.

Warranty

Watches — claims, separating manufacturing from operating conditions.
Surfaces — an evidenced position, so a claim is a conversation about facts.
THE HUMAN GATE
Every high-impact action waits for a person. Every decision is logged with who approved what.

Autonomy is a liability in a regulated process — the agents decide what should happen, and then stop.

WHAT IT RUNS ON

Physics, not guesswork.

Underneath enerlyst is enerlytik — reading cell-level physics from real Indian roads, separating how a pack was built from how it was used from what time and heat did.

Battery technology partnership with BattGenie. Their physics-informed models report state-of-charge accuracy within ±1.3% — against a typical industry range of ±5–10% — with 90-day advance failure warning.

CITED · BATTGENIE ↗
How it works → enerlytik.com
THE DIVISION OF LABOUR
enerlytik
answers how do you know — the physics, the reading, the attribution.
enerlyst
answers what do I do — the finding, the action, the confidence.
EARLY ACCESS

We're onboarding a small number of operators.

enerlyst is live on real fleets today. We're opening it to a limited group before general availability — fleets, lenders and OEMs who want the intelligence early, and will tell us what's missing.

Tell us what you run and the decision you want to make better. We'll tell you honestly whether we can help today, or whether you're better off waiting.

Thanks — we read every one of these.

If there's a fit we'll come back within a week with what we can do today, specifically. If there isn't, we'll tell you that too.

A person reads this and replies within a week.