Our Approach
Built on a decade of practical learning
Pipe by Pipe is grounded in more than ten years of experience through mWater, a free and globally accessible platform used by governments, utilities, and partners in nearly 200 countries. This foundation reflects a clear lesson: when data tools are intuitive, accessible, and embedded in frontline realities, they can significantly strengthen local systems.
From monitoring to management
Many WASH initiatives focus on collecting data for reporting. Pipe by Pipe is designed to go further, supporting the operational use of data in daily decision-making. The approach helps utilities and governments move from monitoring infrastructure to actively managing services, finances, and customer relationships over time.
Why targeted, staged capital matters
Small-scale utilities often face a structural gap: traditional financing requires proven performance, yet improving performance often requires upfront investment. Pipe by Pipe addresses this challenge through targeted, staged capital aligned with a utility’s readiness and capacity.
Instead of large, one-time investments, capital is introduced incrementally. This approach allows utilities to strengthen operations, test improvements, and build credible performance records over time. Funding is linked to clear operational indicators, supporting accountability while reducing reliance on complex external audits.
Capital paired with capacity and data
Staged capital is not deployed in isolation. It is paired with practical technical assistance and the ongoing use of real-time data through the mWater platform. This combination helps ensure that investments translate into lasting improvements, rather than short-term gains tied to project timelines.
An incubator, not a program
Pipe by Pipe is not a single implementation model. It is a structured incubator designed to test how data, technical assistance, and targeted capital can work together. The approach allows for learning, adaptation, and refinement, creating a model that can be replicated across different contexts.