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Ligence is a Deep Tech startup based in Lithuania, specializing in healthcare solutions developed by a team of medical doctors proficient in artificial intelligence. The company focuses on automating heart ultrasound image analysis through its flagship product, Ligence Heart. This technology employs deep learning algorithms to accurately recognize various heart image views and perform essential measurements automatically. By streamlining the analysis process, Ligence Heart allows physicians to bypass manual measurements, enabling cardiologists and sonographers to enhance efficiency and significantly reduce analysis time, thereby allowing them to concentrate more on patient care and treatment.

Fyma is a Tallinn-based company that specializes in artificial intelligence software focused on video analytics through computer vision algorithms. Established in 2017, Fyma transforms conventional camera feeds into smart sensors, allowing businesses and institutions to extract and analyze data from video footage. This capability enables clients to gain insights into shopping behaviors and the movement of objects, facilitating strategic planning decisions. The platform is designed with self-learning features for real-time monitoring and can integrate with third-party data sources. Fyma's solutions are applicable across various sectors, including retail, business parks, campuses, and marina management, providing empirical data to enhance decision-making in the built environment and commerce.

Eziil Production Intelligence OU, established in 2016 and located in Viljandi, Estonia, specializes in developing software solutions for manufacturing companies. The company's software enables users to track and report production data in real-time, enhancing operational efficiency. By leveraging artificial intelligence and systematic tracking, Eziil's solution provides a framework for monitoring production processes, ultimately helping manufacturers reduce costs, improve product quality, and increase 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 OÜ develops a debugging and monitoring platform specifically for AWS Lambda, aiming to assist developers in creating efficient serverless applications. Founded in 2017 and based in Tallinn, Estonia, Dashbird's platform provides real-time data on errors, latency, and memory usage, along with alerts and reporting features to identify issues quickly. By leveraging Cloudwatch logs, it offers in-depth analytics without requiring code changes, enabling a two-minute setup. The tools provided by Dashbird facilitate the monitoring, debugging, and optimization of serverless applications, helping businesses transition from traditional server-centric architectures to more flexible and managed cloud solutions while effectively managing performance, availability, cost, and security risks.

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.