Hyperlocal environmental intelligence

Sharper Local Visibility for Weather-Sensitive Decisions

WeatherSens combines custom sensor networks with our AI model to provide environmental data where it matters:
in your local area

WeatherSens

Why Local Scale Matters

Leverage local data for critical operational insight.

01

See the gaps

Dense monitoring reveals the street-level and site-level changes that regional stations and models miss.

02

Read live conditions clearly

Observations, model data and forecast updates are presented in one place and with API access for seamless integration.

03

Move when it matters

Tuned local predictions help teams schedule work, protect assets and react before conditions shift.

WeatherSens use cases dashboard © WeatherSens Station

Industries

Built for Teams That Need Local Context Without Added Complexity

"Local environmental intelligence for timing, planning and operational confidence"

How it works

A Simple, Three-Part Operating Rhythm

Multiple sources of data, one unified platform. We provide a seamless integration to your systems; for the exact variables that matter to you.

01

Monitoring

  • We deploy a sensor layout built for the area and variable mix that matters.
  • WeatherSens network captures live environmental readings without heavy on-site infrastructure.
  • Access the network through a web UI and API from day one.
02

Analysis

  • We provide the network data combined with other open source data and regional model outputs.
  • Collaborate to produce the exact output you need for a complete local view that matters.
  • Visualize observations, context and trend changes in one workflow.
03

Predictions

  • We aim to develop system that can correct broad regional forecasts with local observations.
  • Providing confidence for the exact site where work is happening.
  • Compare evolving predictions against other data sources when needed.
WeatherSens team

About WeatherSens

Who We Are

We are building WeatherSens with a compact team of Aalto University founders and industry professionals focused on practical environmental intelligence. We have an extensive background in environmental monitoring, electrical engineering, machine learning and data analysis.

  • We believe weather should be predicted at the scale it matters: local
  • We design the hardware, data flow and forecast layer as one operating system.
  • We are looking for pilot partners who want sharper local visibility without the need for taking care of extensive infrastructure.

If you are interested in joining us, piloting or collaborating, please contact us.

Contact

Get in Touch

Tell us the area you want to monitor and the kind of decision you need to improve. We can discuss the right pilot scope from there.