bwi

BWI has moved into a new office in Toulouse. After a year and a half at B612 – Innovation Center, the team is now in a space better suited to day-to-day collaboration.

Release v2.13 introduces major under-the-hood improvements to BWI’s platform, alongside the deployment of a new multi-reach hydrological model. This release also brings clearer timezone handling, imperial units support, and multiple reliability and UX improvements.

BWI took part in the Carrefour des Gestions Locales de l’Eau (CGLE) 2026 in Rennes, engaging with public and private stakeholders on hydrological forecasting, flood and drought anticipation, and territorial resilience.
A recap of two days of exchanges at the heart of water management challenges.

BWI announces the appointment of Lise Ferrières as Deputy Chief Executive Officer / Chief Operating Officer (COO). Her arrival marks a key milestone in strengthening BWI’s operational structure, in support of service quality and the company’s international deployment.

BWI version 2.12 extends hydrological coverage to new regions in Nepal, Bangladesh and India, while reinforcing the reliability of the platform to support operational river flow forecasting.

At Aqua Business Days 2025 in Nîmes, BWI took part in two days of exchanges on the water–energy nexus. During a dedicated micro-pitch session, our CEO Jeremy Fain highlighted how hydrological forecasting and virtual stations support run-of-river hydropower in a context of climate change.

BWI is leaving B612 – Innovation Center in Toulouse and preparing to move to new offices in January 2026. A moment to look back on a place that supported a key phase of our growth, collaborations, and milestones.

Discover BWI’s new pricing: flexible plans, 1–5 year license options with significant savings, setup fee, and more.

Virtual stations are redefining how hydrometric networks are designed, operated, and extended across river basins. By fusing satellite altimetry, remote sensing, semi-distributed models, and machine learning, virtual stations provide continuous water level and discharge information at locations where no physical gauges exist. This hybrid cyber-physical approach strengthens monitoring resilience, improves model calibration, and reduces uncertainty in flood and low-flow forecasting, especially in data-scarce and hard-to-access regions.

Fish farming faces critical hydrological challenges including fluctuating water quality, unpredictable water supply, and flood risks—threats that impact fish health and production yields. AI-driven river flow forecasts offer game-changing solutions by empowering farmers with timely insights to manage water resources, mitigate flood damage, and optimize aquaculture operations, paving the way for a more resilient and productive fish farming industry.