Solving enterprise problems using Cloud and IoT
RateGain uses AI and machine learning to provide real-time intelligence and self-learning recommendationsWe profile two enterprise tech startups that are using software as a service
We profile two enterprise tech startups that are using software as a service (SaaS) and the internet of things (IoT) to develop and provide solutions across sectors.
RateGain: Saas solutions for travel and hotels
Noida-based RateGain provides cloud-based (SaaS) solutions for the travel and hospitality industry. According to the startup’s CEO and founder, Bhanu Chopra, the company is using machine learning and “next-generation technology" to help its clients, including online travel agencies, vacation providers, airlines etc. “to give real-time intelligence on competition, pricing, market trends, pulse of customers, and their reputation in the market". By leveraging AI and machine learning, RateGain’s products provide real-time intelligence and self-learning recommendations. “Our recent acquisition of DHISCO, the world’s original hotel distribution company, has allowed us to demonstrate how we can successfully integrate and realize financial synergies from two players seamlessly." Currently, RateGain supports 125,000-plus hotels globally, impacting revenue of over $13 billion by providing 240 billion rate and availability updates and powering over 30 million bookings.
DataCultr: IoT enablement platform
Gurugram-based DataCultr is an IoT-enablement platform, which aims to make the IoT journey “simple, faster and value-driven" for enterprises. Founded in 2016 by Neel Juriasingani and Sujoy Ghosh, the data streaming platform enables enterprises to connect and control their data and devices in real-time. “DataCultr continues to work and build a world class platform that will allow more and more large and small enterprises to take their IoT plans to life," says Juriasingani.
It eliminates custom coding and aims to solve certain use cases that enterprises find critical—solutions across digital homes, fintech, telecom and smartphones.
For example, using the DataCultr platform, financial institutions can remotely manage smartphones or connected devices bought on instalments and, if required,even lock access to the device remotely.
In farming, it allows farmers to access real-time data on soil quality, moisture levels and weather conditions . It also enables livestock tracking and monitoring. Similarly, DataCultr can enable efficient tracking of sales devices and manage inventory, remotely manage a device’s updates and security patches, reduce device servicing costs and customer walk-ins by running diagnostic tests over the air.
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