Tidewise — flood-risk intelligence Series A pitch · fictional case
Aerial view of a coastal city

Series A · fictional case

Tidewise

Asset-level flood risk for coastal utilities.

Series A · 2026 · 10 minutes

The problem

Utilities plan floods with maps older than the storms

4,200coastal utilities in the addressable market
20 yrmedian age of the flood model used for capex planning
$2.8Bannual spend exposed to avoidable flood damage
1 in 3outages traced to an asset the utility already knew was exposed

The insight

The risk is already in the data. It is not in one place.

Satellite subsidence, tide gauges, asset registers, and outage history describe the same asset. Tidewise joins them into one risk score.

The product

Three workflows, one risk model

Monitor

Live risk map by asset, feeder, and substation.

Prioritize

Rank capex by avoided outage cost and criticality.

Plan

Scenario the next storm, budget cycle, and hardening plan.

API-first; sits beside GIS and EAM, not instead of them.

Market

Bottom-up: 4,200 utilities, $670k average contract

SegmentUtilitiesACVWhy now
Coastal municipal2,900$310kRate-case pressure, FEMA mapping
Investor-owned900$1.2MCapex hearings, resilience mandates
Co-ops / ports400$220kInsurance and grant requirements

$2.8B serviceable market · no single incumbent owns the risk layer.

Traction

14 utilities, $1.2M ARR, 132% net revenue retention

$1.2MARR, up from $310k
132%NRR after 12 months
9 moCAC payback
14production utilities

Business model

Per-asset subscription, expanded by API

Land

$180k–$420k annual subscription by asset count; implementation in 6 weeks.

Expand

API calls, scenario modules, and storm-response seats. 78% gross margin at scale.

Competition

Consultants sell reports. Tidewise is the system of record.

AlternativeWhat it doesWhy it loses
Engineering consultanciesOne-off flood studiesStatic, expensive, not operational
GIS point toolsMaps and layersNo asset criticality or capex workflow
Insurance modelsPortfolio loss estimatesNot asset-level, not utility-specific

Team

Domain, models, and utility operations

Mara Voss · CEO

12 years in utility resilience; former head of asset strategy at a coastal IOU.

Jon Bell · CTO

Built geospatial ML at two climate-risk companies; PhD in remote sensing.

Priya Nair · COO

Scaled field operations at a grid-services firm; owns utility delivery.

The ask

$12M Series A

18 months to 60 utilities, $6M ARR, and a validated storm-response module.

Milestones: 60 production utilities · $6M ARR · 3 referenceable storm deployments