Ligence
Seed Round in 2024
Ligence is a Deep Tech startup based in Lithuania that combines medical expertise with artificial intelligence to automate echocardiography image analysis. The company develops tools for automatic recognition of heart image views, measurement, and report generation, accessible via a web-based platform and designed to integrate with hospital information systems. Its flagship solution, Ligence Heart, aims to reduce manual measurements by physicians and enhance consistency in heart ultrasound examinations through automated analysis. The offering targets clinicians and healthcare providers seeking to streamline cardiovascular imaging workflows.
Fyma is a technology company that specializes in artificial intelligence-based software for analyzing camera feeds through advanced computer vision algorithms. Founded in 2017 and based in Tallinn, Estonia, Fyma transforms conventional cameras into intelligent sensors, allowing businesses and institutions to derive actionable insights from video data. The platform provides empirical real-world movement data, enabling clients to understand shopping patterns and object movement in various environments such as retail spaces, business parks, campuses, and marinas. With features that include self-learning capabilities and real-time monitoring, Fyma's solution integrates with third-party data sources, empowering clients to make informed strategic decisions based on real-time analytics.
Eziil Production Intelligence OU is a software development company based in Viljandi, Estonia, specializing in solutions for manufacturing firms. Founded in 2016, Eziil offers a software platform that enables users to track and report production data in real-time. The company's technology incorporates artificial intelligence and systematic tracking, providing a framework that enhances production efficiency. By utilizing Eziil's software, manufacturing companies can achieve lower production costs, improved quality, and increased profitability.
Cachet OÜ, established in 2018 and headquartered in Tallinn, Estonia, operates an innovative online insurance brokerage platform focused on the mobility sector, particularly for ride-hailing drivers. The company offers a variety of insurance products, including traffic and casco insurance, as well as fleet insurance. Cachet serves as a data intermediary between gig economy platforms and insurance providers by aggregating and enriching data on service provision across multiple platforms. This data-driven approach enables insurance companies to deliver personalized coverage options tailored to individual service providers based on their actual working hours, thereby enhancing pricing, predictability, and risk management within the gig and sharing economy.
Dashbird
Seed Round in 2020
Dashbird is a serverless monitoring and debugging platform for AWS that helps developers build, deploy, and operate complex serverless applications. The platform collects real-time data on errors, latency, and memory usage, and provides alerts and reporting to detect performance, availability, cost, and security risks. It accelerates serverless adoption with actionable insights, fast setup without code changes, and cost optimization capabilities, and it leverages CloudWatch logs for in-depth analytics. Founded in 2017 and based in Tallinn, Estonia.
Cachet
Pre Seed Round in 2019
Cachet OÜ, established in 2018 and headquartered in Tallinn, Estonia, operates an innovative online insurance brokerage platform focused on the mobility sector, particularly for ride-hailing drivers. The company offers a variety of insurance products, including traffic and casco insurance, as well as fleet insurance. Cachet serves as a data intermediary between gig economy platforms and insurance providers by aggregating and enriching data on service provision across multiple platforms. This data-driven approach enables insurance companies to deliver personalized coverage options tailored to individual service providers based on their actual working hours, thereby enhancing pricing, predictability, and risk management within the gig and sharing economy.