Parariya.

Case study • Energy & Utilities

Grid telemetry platform for 12M smart meters — 22% reliability uplift

Helio's grid operations team lacked unified, sub-minute visibility across 12 million smart meters and 38,000 substations, slowing outage response.

Client
Helio Energy
Region
EMEA
Duration
14 months
Practices
Enterprise Platforms, Cloud, AI & Data

Impact

Outcomes that mattered

22%

Reliability uplift

<60s

Outage detection

12M

Smart meters connected

−31%

Mean time to restore

The challenge

Helio's grid operations team lacked unified, sub-minute visibility across 12 million smart meters and 38,000 substations, slowing outage response.

Our approach

  • Designed a streaming telemetry platform on Kafka and ClickHouse with sub-second querying.
  • Built ML models for fault prediction with confidence-tiered routing into operations.
  • Standardized incident response with paved-road runbooks and SRE-style postmortems.

The solution

A real-time grid telemetry and prediction platform integrated with operations workflows.

What this means for similar programs

The pattern beneath this engagement is one we apply repeatedly across energy & utilities clients: a phased approach, embedded senior practitioners, and a measurement plan negotiated up front. The result is faster outcomes, fewer surprises, and an operating model your teams can run themselves.

Ready for a similar outcome?

Bring us your hardest problem.

A 30-minute briefing with a Parariya principal will tell you whether this kind of program is right for what you're navigating — and how we'd shape it.