Where ScadaLogs AI Came From

Water utilities sit in an unusual position. They operate critical infrastructure the kind where a failure has immediate, real-world consequences for public health using monitoring technology that, in many cases, has not fundamentally changed in twenty years.

The gap we kept seeing was not in the data. It was in the intelligence layer above it. SCADA systems are excellent at collecting data. They are not built to interpret it, predict from it, or help operators decide what to do about it at speed.

That is the gap ScadaLogs AI was built to fill.

Palaver AI the Team
Behind ScadaLogs

Palaver AI builds operational intelligence software for critical water infrastructure. The team brings together expertise in water utility operations, machine learning, industrial systems integration, and operational technology security. Water utilities have specific challenges that generic AI platforms do not understand, and generic AI teams do not have the operational context to address them.

How We Approach
the Work

01

Water-Specific, Always

Every model, every integration pathway, every alert design has been built around the specific operational context of water utilities. We do not take features designed for oil and gas or manufacturing and adapt them for water.

02

Non-Replacement, by Design

Utilities have invested heavily in their existing SCADA infrastructure. Replacing it is not realistic for most. ScadaLogs AI was designed to integrate with what exists.

03

Transparency in How the AI Reasons

We do not believe in black-box AI for operational decisions. Every alert, every suppressed alarm, every maintenance directive comes with the reasoning behind it logged, auditable, and explainable.

04

Designed for the Operator

The people who use ScadaLogs AI day-to-day are operators running complex facilities under real operational pressure. The platform is designed to help them, specifically.

Interested in Working With Us?

Whether you run a utility evaluating the platform or you want to join the team building it, we'd like to hear from you.