Olea Edge Analytics

1. If vendor continuity and organizational stability are the highest priority and the buyer requires low vendor risk. Public employee reviews reference leadership changes and layoffs that increase perceived continuity risk versus larger incumbents. https://www.glassdoor.com/Reviews/Olea-Edge-Analytics-Inc-Reviews-E5195502.htm

2. If a buyer requires documented, third-party security certifications (SOC 2/ISO 27001) before entering procurement. Public materials reviewed did not provide clear attestations.

3. If the utility’s primary objective is a full AMI rollout across all endpoints (residential and commercial) as the central transformation program; incumbent AMI vendors may offer a more comprehensive replacement and billing integration approach.

4. If the procurement process requires transparent, self-serve pricing with minimal negotiation. Olea’s model appears to be quote-based.

5. If the internal team lacks capacity to act on continuous diagnostics and alerts; without workflows and operational discipline, monitoring outputs may not translate into recovered revenue.

• Employee review platforms recorded reports of layoffs and leadership turnover in 2023–2024. These are relevant to vendor risk assessments and should be validated through reference calls and financial due diligence. https://www.glassdoor.com/Reviews/Olea-Edge-Analytics-Inc-Reviews-E5195502.htm

• Public evidence of customer churn is limited. Employee review sites contain accounts that a major contract was lost and that there were layoffs, which could be correlated with customer attrition; these employee accounts do not constitute direct customer feedback.

Employee-review platform excerpts (risk signals):

• Employee-review platforms include posts claiming that after losing a major contract and facing sales challenges, substantial layoffs occurred. These entries are employee perspectives and should be investigated during vendor due diligence.

• Continuous in-situ diagnostics for selected high-value meters without requiring repeated flow tests; vendor materials describe monthly diagnostics and recommended repairs. https://www.oleaedge.com/mha
• Platform outputs that include alerts and recommended repair actions rather than only raw data, according to vendor documentation. https://www2.oleaedge.com/

Vendor-authored case studies and press releases provide the main public customer statements:

Positive (vendor-published customer quote):

• A case study attributed a quote to a Water Superintendent saying the Meter Health Analytics product had become an important tool in the utility’s operations.

Outcomes claimed (vendor-published metrics; not independently verified):

• A vendor case study lists projected figures including estimated revenue recovery and avoided water loss for monitored meters. These figures are presented by the vendor and the underlying methodology and audit status are not detailed.

• Scope: A set of priority revenue meters monitored with periodic diagnostics and repair recommendations.
• Reported results (vendor-published): identified under-performing meters and a projected revenue recovery figure for a subset of meters; the case study references volumes avoided and meters monitored.
• Critical evaluation: The case study reports projected outcomes and does not disclose baseline methodology, measurement approach, or third-party audit of results in the public write-up.

Olea Edge Analytics (Olea) provides a monitoring platform that combines field-deployed sensors, edge computing, cellular connectivity, and cloud analytics to detect and diagnose issues associated with non-revenue water (NRW) and billing revenue loss for municipal water utilities. The company focuses on continuous, in-situ monitoring of selected assets (notably large commercial/industrial meters and pressure-reducing valve (PRV) stations) rather than periodic manual testing.

Olea’s current product positioning centers on two solution lines:

• Meter Health Analytics (MHA): Continuous diagnostics for large revenue meters to identify under-registration, mechanical issues, valve issues, mis-sizing, fouling/wear, and to provide repair guidance.
• PRV Monitoring: High-frequency pressure data capture (including transient capture) for anomaly detection and PRV incident reduction.