Darrow is an AI-powered justice intelligence platform that analyzes publicly available data to identify harmful events and assess the potential impact on victims. By leveraging generative AI, the platform detects significant legal violations and connects plaintiff's lawyers with relevant cases, allowing them to allocate more time to litigation rather than business development. This approach enables law firms to streamline their processes and concentrate on representing clients in high-value cases. Darrow operates from locations in Tel Aviv and New York City.
Darrow is an AI-powered justice intelligence platform that analyzes publicly available data to identify harmful events and assess the potential impact on victims. By leveraging generative AI, the platform detects significant legal violations and connects plaintiff's lawyers with relevant cases, allowing them to allocate more time to litigation rather than business development. This approach enables law firms to streamline their processes and concentrate on representing clients in high-value cases. Darrow operates from locations in Tel Aviv and New York City.
Explorium
Series C in 2021
Explorium Ltd. operates a data science platform that leverages artificial intelligence to enhance the predictive modeling process. Founded in 2017 and based in Tel Aviv, Israel, the company addresses challenges such as data integration, enrichment, and feature engineering. Its platform dynamically combines internal organizational data with thousands of external sources, allowing data specialists to automatically discover relevant features for machine learning models. This capability enables organizations across various sectors, including e-commerce, finance, marketing, and operations, to generate insights and predictions more effectively. Explorium's approach simplifies the complexities of data sourcing, making it easier for companies to unlock the potential of their data assets.
Datomize
Seed Round in 2021
Founded in 2020, Datomize enables data scientists to improve their machine learning model's performance dramatically. Recognizing that the primary constraints in developing high-performing ML model's are the shortage of high-quality data and the resource-intensive process of feature engineering, Datomize equips data scientists with limitless data of exceptional quality and variety while automatically engineering a comprehensive set of advanced features. Datomize's platform augments original data with synthetic data of exceptional quality, automatically engineers features that optimize ML model performance, completes missing data, balances data with sufficient representation of any class to avoid biased models, and enables the simulation of innovative scenarios via rules-based data generation.
Varada enables data architects to seamlessly accelerate and optimize workloads, using dynamic analysis and adaptive indexing, resulting in optimal control over performance and cost. Varada’s data platform runs in your cloud environment, enabling any SQL consumer to easily query any data source. The company was founded by David Krakov, Roman Vainbrand, and Tal Ben-Moshe. Varada is based in Tel Aviv, Israel.
Explorium
Series B in 2020
Explorium Ltd. operates a data science platform that leverages artificial intelligence to enhance the predictive modeling process. Founded in 2017 and based in Tel Aviv, Israel, the company addresses challenges such as data integration, enrichment, and feature engineering. Its platform dynamically combines internal organizational data with thousands of external sources, allowing data specialists to automatically discover relevant features for machine learning models. This capability enables organizations across various sectors, including e-commerce, finance, marketing, and operations, to generate insights and predictions more effectively. Explorium's approach simplifies the complexities of data sourcing, making it easier for companies to unlock the potential of their data assets.
superwise.ai
Seed Round in 2020
Superwise.ai Ltd is a company based in Tel Aviv-Yafo, Israel, founded in 2019, that specializes in developing an artificial intelligence performance management system. Its AI Assurance platform empowers business and operational teams to oversee the health of their AI environments by offering real-time monitoring, predictive intelligence, and automatic handling. The platform features capabilities such as AI performance management, bias detection, explainability, and comprehensive analytics, facilitating extensive monitoring and metric analysis. This enables data science teams to maintain optimal performance levels for AI models in production, ensuring that clients can effectively manage and enhance their AI systems.
superwise.ai
Pre Seed Round in 2019
Superwise.ai Ltd is a company based in Tel Aviv-Yafo, Israel, founded in 2019, that specializes in developing an artificial intelligence performance management system. Its AI Assurance platform empowers business and operational teams to oversee the health of their AI environments by offering real-time monitoring, predictive intelligence, and automatic handling. The platform features capabilities such as AI performance management, bias detection, explainability, and comprehensive analytics, facilitating extensive monitoring and metric analysis. This enables data science teams to maintain optimal performance levels for AI models in production, ensuring that clients can effectively manage and enhance their AI systems.
Explorium
Series A in 2019
Explorium Ltd. operates a data science platform that leverages artificial intelligence to enhance the predictive modeling process. Founded in 2017 and based in Tel Aviv, Israel, the company addresses challenges such as data integration, enrichment, and feature engineering. Its platform dynamically combines internal organizational data with thousands of external sources, allowing data specialists to automatically discover relevant features for machine learning models. This capability enables organizations across various sectors, including e-commerce, finance, marketing, and operations, to generate insights and predictions more effectively. Explorium's approach simplifies the complexities of data sourcing, making it easier for companies to unlock the potential of their data assets.
Varada enables data architects to seamlessly accelerate and optimize workloads, using dynamic analysis and adaptive indexing, resulting in optimal control over performance and cost. Varada’s data platform runs in your cloud environment, enabling any SQL consumer to easily query any data source. The company was founded by David Krakov, Roman Vainbrand, and Tal Ben-Moshe. Varada is based in Tel Aviv, Israel.
Vayo is a technology company that offers an online business platform designed to help SaaS companies enhance their operations through actionable insights derived from cross-organizational customer data. The platform leverages artificial intelligence and advanced technologies to connect various data sources, allowing businesses to gain immediate insights that facilitate informed decision-making. By understanding customer habits and preferences, Vayo empowers corporate clients to refine their services and products, ultimately driving growth and improving customer satisfaction. The company is a portfolio entity of F2 Capital.
Explorium
Seed Round in 2018
Explorium Ltd. operates a data science platform that leverages artificial intelligence to enhance the predictive modeling process. Founded in 2017 and based in Tel Aviv, Israel, the company addresses challenges such as data integration, enrichment, and feature engineering. Its platform dynamically combines internal organizational data with thousands of external sources, allowing data specialists to automatically discover relevant features for machine learning models. This capability enables organizations across various sectors, including e-commerce, finance, marketing, and operations, to generate insights and predictions more effectively. Explorium's approach simplifies the complexities of data sourcing, making it easier for companies to unlock the potential of their data assets.
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