i2MS - PRR Support

Project

PRR support

A scale-up support project focused on preparing the i2MS system for broader field validation by expanding device production, improving the product after pilot testing, and accelerating automatic insect recognition.

Overview

This support project helps close the remaining gap between the i2MS pilot phase and a more commercially ready product. It covers the construction of 100 new monitoring devices for extended field testing in relevant environments and supports refinements identified after earlier trials.

In parallel, the project accelerates the artificial intelligence and machine learning components needed to automatically identify captured insects, classify them inside the database workflow, and generate more useful operational insights for users.

Duration: 18 months
Project number: Vouchers for Startups n.2034
Funding Agency: Recuperar Portugal and Startup Portugal
Partners: i2MS, Lda - Startup Portugal - Recuperar Portugal

Main objective: bridge the gap between pilot validation and commercial readiness through hardware scaling and smarter data workflows.

Priorities

The support is designed to help i2MS scale the physical product while making the software layer more operational, predictive, and commercially useful.

Hardware Complete the trap and build 100 additional devices for broader validation.
AI workflow Automatically identify and classify captured insects inside the platform workflow.
Operational goal Move toward a stronger product-service offer with forecasting and alerts.

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Focus Areas

What The Support Enables

Hardware completion

Complete the insect capture and monitoring equipment and incorporate improvements identified after the pilot phase.

100 new devices

Build and deploy a broader fleet of units for extended testing in relevant environments.

Automatic classification

Develop and apply AI and machine learning workflows to identify and classify captured insects automatically.

Forecasting and alerts

Correlate historical and current records to support population imbalance forecasts and user alert procedures.

Autonomous insect capture and monitoring trap

The support is aimed at finalizing the physical equipment, scaling the number of devices in operation, and ensuring the product reflects the lessons learned during earlier field phases.

This creates the operational base needed to validate the system under more demanding and representative real-world conditions.

Automatic insect recognition and classification algorithm

Alongside the hardware evolution, the company is developing an AI pipeline capable of automatically identifying captured insects and classifying them directly inside the database workflow.

The project also includes algorithmic work to correlate previous data with current observations, helping generate forecasts about insect population imbalance and supporting a more proactive alerting experience for users.

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