RootQuotient
RootQuotient About
RootQuotient Digital values, delivered.
$50 - $99/hr
A firm technology partner for startups & enterprises driving towards innovation. Our award-winning team ideate, design and develop bespoke software solutions that create values to brands and its users. Expertise: Web & Mobile Machine Learning Blockchain IoT
2018
10 - 49
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RootQuotient Reviews
Rob Moreno
AI tool for a Television show
We narrowed down Rootquotient from 3 shortlisted vendors mainly because of their ability to translate the tech jargon into non-technical language which helped us to understand the implementation in better terms. Expectations and project milestones were set during the project kickoff and explained their process flow in layman terms. Project management and communication skills proved their ability to explain the progress in simple terms for us to understand, scheduling regular meetings and updates. In addition, the team had a clear understanding of our rigid schedule and ensured delivery was made on budget. The project that we wanted to develop was a compatibility matching tool for the participants of the show. It involved mapping of their several characteristics and analyze their behaviors to arrive up on a score. Some additional functionalities were added as suggested by the team which was not foreseen by us as a needed requirement. This proved their expertise in the development of digital platforms. I would definitely work with them for our future projects.
Claudio Alejandro Ortiz Préfontaine
Claude Ortiz prefontaine
Rootquotient did an amazing job in the creation of my Mobile App prototype. They really took the type and incredible effort to understand my idea and deliver it the way I wanted it. The quality of service and time they gave me was amazing and i really look forward to work this great company. I am grateful to have find them because I know they will deliver an amazing product that will get me closer to my dreams!
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RootQuotient Services
- Private Blockchain
- Smart Contract
- Javascript
- Python
- Ruby on Rails
- Deep Learning
RootQuotient Portfolio
eeco | Mobile Application
Platform: Mobile Category: News & Magazines Technology: Flutter, Python, Elasticsearch, MySQL Overview: Eeco is a news app developed for a young startup team that had a genuine vision of letting people digest only the news they want and only when they want. When this seemed like a yet another content curation project, the client had a huge vision for the future which is the need-of-the-hour,'Fake News Detector. Main features: This app is meant to 'curate' the content for the users throughout their journey. This was done by implementing Machine Learning algorithms. The application had to nudge the user to digest the articles only when they have free time amidst their daily plans & schedules. For prompting the user at the right time with the right articles, integrations with the user's calendar on Google seemed to be the right start. For spotting and demoting the fake news among thousands of articles available online, extensive datasets and training models had to be in place. To know more about the detailed project approach, visit https://rootquotient.com/case-studies/eeco.html
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Not Disclosed
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12 weeks
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Media
Clozerr | Mobile & Web Application
Platform: Mobile | Web Category: Retail | Lifestyle Technology: Flutter, PostgreSQL, MongoDB, iBeacon Overview: Clozerr is an app that lets you discover local restaurants and gives you loyalty rewards. This app gives users more than just restaurant discovery and offers exciting rewards on every visit to a particular restaurant. Clozerr brings the restaurants and foodies closer and making the user-retention game a win-win for both stakeholders. Main features: To interact and engage with users at strategic locations we chose Beaconstac for the Bluetooth Beacon hardware needs. This helps in pushing targeted welcome rewards for a customer. To aggregate and maintain a database of restaurant information including the menu, photos, and reviews, Postgres is used. A restaurant side web application was built to manage the offers to be given to the users. Features are available to update the menu and analyze the feedback. To know more about the detailed project approach, visit https://rootquotient.com/case-studies/clozerr.html
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Not Disclosed
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12 weeks
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Startups
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