The algorithm is the
easy part.

Water networks generate data every day — flow, pressure, level, quality. But data that is heterogeneous, often unreliable, in formats that don't talk to each other.

A system built on unreliable data is not a tool — it is a liability. FORE solves this upstream — with hydraulic physics knowledge and domain-specific AI agents.

Physics first. AI second.

Software

Three modules for the water cycle: REED harmonises data from any network, NEWT brings hydraulic modelling to natural language, BLEAK reconstructs the sewer signal.

REED

Data harmonisation layer

NEWT

AI-powered hydraulic modelling

BLEAK

Sewer data intelligence

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Services

Specialist consulting across the full water cycle.

Network monitoring, data analytics, hydraulic modelling, treatment process optimisation. Direct consulting, built on network physics.

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Vision

The hard part is knowing the network.

The right level of digitalisation is not the maximum possible — it is the level that generates concrete value in the specific context in which it is applied.

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Team

People, first.

Skilled professionals with cross-disciplinary expertise in hydraulic engineering, data science and software development. 65% of the team are women: a deliberate choice, not a coincidence. Genuine flexibility for all employees — reduced hours, remote work, an environment where personal life and professional life are truly compatible. Productivity is guaranteed not despite this, but because of it.

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