Metricly replaces human guesswork with behavior learning technology to automate cloud monitoring and IT operations performance analysis. The company’s software solution is offered as a service (SaaS) and on-premise, and allows users to visualize, isolate, and proactively address IT performance issues across a variety of data sources before they impact the business.

Talentio" is a cloud HR service brand that uses state-of-the-art technology based on machine learning and big data analysis.

Predictry provides a machine learning technology envisaging user preferences, sentiments & behavior. Founded in 2013, it offers a world-class online Recommendation as a Service (RaaS), customised solutions for predictive analytics, big data mining services, business intelligence and also bespoke consulting in whatever industry you are in. Predictry’s main advantage lies in its ability to customise SaaS recommendations for any types of e-commerce or web listing business, be it from fashion, music, financial products to home listing. Think of it as an Amazon-like product recommender that could be customised to whatever you are selling or listing online. Considering that we were able to employ multiple analytics tools such as content and collaborative filtering created and refined by established data scientists. With it's proprietary A/B algorithm testing method and the ability to go right down to the mathematical formulas of the algorithm, the team at Predictry ensures that this highly scalable recommendations is always fine-tuned to each specific customer, with the goal of improving conversation rate and/or sales to your business. Predictry is run by a team of seasoned entrepreneurs and data scientist from well established universities together.This company is a V Ventures portfolio company based in Asia.

Navvi :registered: is a network for people and organizations who need immediate, geospatial information to understand and interact with what’s happening in an area. Their technology maps human and artificial intelligence to connect people across industries to location-based information. Navvi :registered: is a living atlas. Their technology aggregates and filters information accurately by location and subject. The proprietary machine-learning algorithm automatically parses raw text from IoT, sensor, RSS, and News Data to map this information according to time, place, and subject. Navvi :registered: culls existing base-map libraries from additional online map-making platforms to contextualize existing data (i.e. demographics). The technology is built to scale to accommodate multiple operating systems in both mobile and desktop environments. The V.1 goal is to create a useful and resource-rich living atlas for public health and energy sectors in Sub-Saharan Africa and Central Asia.

vBrand brings the evolution of big data analysis to the $60B global sponsorship market by building an A.I platform providing brands, rights-holders, agencies and TV-broadcasters with the required tools needed to track, measure and plan sponsorship investments and sales across all TV and digital platforms. vBrand "always-on" artificial intelligence data platform tracks TV and digital media in near real-time, identifies brand's exposure and the context in which they appear, captures various data points such as audience data and engagement metrics, to provide earned vs. paid media evaluation, monetary value calculations, cross-brands comparative analysis, placement effectiveness and many more insights.

Blinkware Technology operates as an artificial intelligence (AI) product maker.

Ortron is a Chinese semantic analysis technology firm, which provides artificial intelligence solutions for household electrical appliance manufacturers.Ortron is an intelligent network solution for enterprises in this field by providing artificial intelligence and semantic recognition technology in the field of smart home, providing users with intelligent solutions for household appliances.

Ingen.io is an API based framework that extracts meaningful metadata from unstructured text in real-time. The extractions include Named entity recognition (NER), Disambiguation, detailed topic categorization, sentiment analysis and article summarization. The final result of the process is the generation of an extended graph (unique text fingerprint) of both explicitly mentioned and implied entities alongside common relationships with their respective weights.