US-based data storage and management company NetApp Inc. has said that six startups have graduated from its first batch of accelerator programme, ‘NetApp Excellerator’.
These startups, which were selected from among 250 applicants, serve clients across the financial, legal, healthcare, and transportation services sectors.
The four-month-long programme offers the selected startups access to NetApp platforms and technologies, tools, co-working space, human resources, marketing, legal and tech support. Under Excellerator, NetApp also offers an equity-free grant of $15,000 to the selected startups upon completion of the programme.
The startups will own their intellectual property and NetApp would not seek a stake in them.
“Our whole vision behind starting this program was primarily to build an ecosystem that can help innovate and solve some of the customer problems that we see. Our intention was to bring our expertise in the data management business and help build an ecosystem around it,” Ajeya Motaganahalli, director and leader of the NetApp Excellerator programme, said.
The company has opened up the application process for the next batch, which will be closed on 19 January 2018. The second cohort will commence on 21 February.
A quick look at the startups:
Scalend Technologies: Bangalore-based Scalend Technologies Pvt. Ltd was founded in 2015. The startup provides an artificial intelligence-enabled data discovery and insights platform for financial companies and services. It uses AI and machine learning to generate insights by analysing omnichannel data for the banking, financial services and insurance sector. It has built a platform that provides data-oriented insights to solve business problems. Ravi Madhira and Srikanth Parthasarathy are its two co-founders.
Adya: It operates on a software-as-a-service (SaaS) model and provides a big data and machine learning stack that helps companies protect their data from employee theft and ransomware. It helps companies detect sensitive data (whether inside the enterprise or on the cloud), protect it from overexposure and alert in case of misuse or theft.
Adya Inc. was founded by Deepak Balakrishna and Pradeep Das. It raised angel investment of $250,000 during the accelerator programme. The startup was earlier part of Axilor Ventures’s fifth accelerator batch.
Enclouden: It focusses on automating IT infrastructure on a private cloud or providing a virtual desktop infrastructure solution. It helps manage, monitor and secure distributed IT systems. Enclouden is building an IT system that can run without human intervention.
The Bangalore-based startup was founded by Abinash Saikia and Satya Kishore Gontina in 2012. Enclouden is run by Invicto Software Solutions Pvt. Ltd.
Lightmetrics: Launched in 2015, Lightmetrics Technologies Pvt. Ltd uses computer vision and machine learning to collect and analyse data on driving quality using a smartphone. The startup was founded by Soumik Ukil, Krishna A. G., Mithun Uliyar, Ravi Shenoy, Pushkar Patwardhan and Gururaj Putraya.
The startup provides real-time traffic alerts–traffic signs, distance, lane departure, etc–to drivers.
It provides Android and iOS software development kits for the mobile device that can be used to analyse videos in real time. It also provides real-time notifications and stores driver behaviour data on the cloud.
Vaultedge: Founded in 2015 by Sajeev Aravindan and Murali Tirupati, Vaultedge Software Pvt. Ltd helps law firms and enterprises complete contract reviews and due diligences faster using artificial intelligence. Vaultedge automatically analyses contracts and highlights risks there by saving 70% of time lawyers spend in contract reviews.
Vitacloud: Bangalore-based Vitacloud Digital Health Pvt. Ltd provides a solution to physicians to prevent, manage and reduce chronic health diseases by using data and analytics. The startup was founded by Vinod Shankar, Rohin Bhargava and Rahul Vinod in 2016.
The startup has a cloud-based platform that integrates information in real time from multiple data sources such as health monitors, wearable devices, clinical records, mobile sensors, apps and public content. It aims to combine different variables to create a health baseline or a real-time smart profile for users.