Operator-grade intelligence for water.

Water Hawk's founder served in the military, then moved into classified defense contracting, working intelligence problems in national security. The specifics of that work stay where they belong. What carries over is the habit it builds: take scattered, incomplete signal and turn it into something a decision-maker can actually use.

What pointed that habit at water was the reporting on the IRGC cyberattacks on American water utilities. State-linked actors were reaching into the control systems of small municipal plants, the kind of system most people never think about until it stops working. Water is critical infrastructure, and critical infrastructure is what Salian is built around.

Water Hawk began as a way to point proven tooling at that problem. The first feature set was built around federal RFIs, and the plan was to retarget it at municipal water procurement, where the signal problem looked similar enough to transfer.

It did not transfer cleanly. The deeper we dug into municipal water procurement, the clearer it got that the real problem sat one level down, in the data itself. Chemical pricing, award histories, capital plans, the records an operator needs were scattered across thousands of agencies or never published at all. We could ship a thin product on thin data, or we could fix the data. We chose to take the gaps head-on. That choice is most of what Water Hawk is today.

U.S. water infrastructure is a $49B-per-year capital problem spread across 29,766 utilities, most of them under 50,000 residents. Decision-makers chase the same handful of obvious names because the rest of the universe is opaque.

The signal exists in the public record. Compliance histories, capital plans, statutory frameworks, procurement filings, and deal precedent each tell part of the story. None of them tell it together, and none of them tell it in a form an operator can act on.

Water Hawk assembles the picture. The platform publishes a readiness score for every utility, a structured dossier that walks from score down to evidence and back up to a decision rubric, and a chemical procurement library that benchmarks bid-level economics for suppliers.

We do not over-promise team size, customer logos, or feature timelines. The platform is built on a strict separation between the cleaned, audited research corpus and the customer-facing surface, so what you see has been verified before it reaches you.

Our forward-looking signals are derived from public data and first-party research only. Customer data, when integrated, feeds the customer's private dashboard immediately and only enters cross-customer aggregates after a 90-day window with strict anonymization.

We sell subscriptions monthly and one-off, plus investment-grade bespoke reports priced $5K to $15K with analyst review before delivery. Nothing is sold on the promise of a future feature.