7EDGE

7EDGE

Software and Product Development | Dedicated Teams

5.00/5 (5 Reviews)
About 7EDGE
7EDGE is a custom app development company. Our core strength lies in the development of Web & Mobile applications using emerging technologies, which include Angular, Node, Java, Ruby on Rails, Native Android, iOS and AWS. By strategically leveraging this technology stack...
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$25 - $49/hr
50 - 249
2010
India
7EDGE
Software and Product Development | Dedicated Teams
5.00/5 (5 Reviews)
2 Reviews
Client Reviews
Mayank Goyal,CFAReviewed 9 months ago
Onboarding Solution Development for FinTech Company
Role: Founder at Hop Financial Solutions
Reviewed 9 months ago by Mayank Goyal,CFA
Role: Founder at Hop Financial Solutions
Onboarding Solution Development for FinTech Company
7EDGE developed an MVP for a fintech startup to ease money exchange and payment for travellers. The team was involved in all aspects of design and development, from the idea stage to creating various functions.

7EDGE created a stable and robust MVP. Their team was helpful throughout the engagement, explaining all the processes. Their flexibility was also noteworthy. Customers can expect a team that gets the job done quickly and effectively.

7EDGE took me through the entire process of developing the B2C product. Their team was involved in the idea stage, creating a clickable prototype, getting commercials in place, designing and developing a high-level architecture diagram, and figuring out technical requirements.
Since we’re in a regulated industry, there was a digital onboarding process for the client where various documents needed to be verified and an account needs to be created. There is also functionality for multiple payment gateways required for payment and the exchange of the money. We were trying to integrate different technologies for different modules depending on the latency we wanted. Their team used Node.js, JavaScript, Angular, React, and MongoDB.

Overall, it was a delight working with them.

What do you like most about the company?

7EDGE was professional in their approach, developing the MVP smoothly. They were quite critical in getting the project off the ground. It’s been working well, and the stability of the database has been excellent. We’ve hired some people internally to look at the MVP. They’ve told us it’s robust and that it can be developed further because it needs no changes.

Rating breakdown
Quality
Reliability
Ability
Overall
Other details
Services:
Mobile App Development
Project Budget:
$0 to $10000
Project Duration:
8 Weeks
Project Status:
Completed
Alan D'SouzaReviewed 9 months ago
We reached out to 7Edge to develop our SMS queries platform for both web and mobile.
Role: CEO at Vavia Technologies
Reviewed 9 months ago by Alan D'Souza
Role: CEO at Vavia Technologies
We reached out to 7Edge to develop our SMS queries platform for both web and mobile.
7Edge has worked on multiple products of ours, including a developer portal and an SMS queries platform for both web and mobile (iOS and Android). We provided 7Edge with a brief understanding of the requirements of our platform, and they created wireframes and a more detailed scope of work from there before going into development.

7Edge grasped how our products should work for the end-user very well and took ownership of their work. The apps they built work great overall, and their process was seamless.

They were very organized and delivered everything on time. We used tools like Basecamp to track project progress.

It's rare for a developer to take as much ownership of a project as they were able to. Unlike other vendors, they also stuck to their deadlines and focused on building products for success.

We've worked with them on multiple projects ranging in size from around $50,000–$100,000.

What do you like most about the company?

Great coordination and understanding of the project. Also suggestions on product improvement based on their market knowledge.

What they should improve on?

Nothing that I can think of

Rating breakdown
Quality
Reliability
Ability
Overall
Other details
Services:
Mobile App Development
Project Budget:
$50001 to $200000
Project Duration:
16 Weeks
Project Status:
Completed
Services
  • Prototyping and Concept Development
  • UI / UX Design
  • Web Application Development
    • NodeJS
    • Angular
    • ReactJS
    • Ruby on Rails
    • Java
    • PHP
  • Mobile Application Development
    • Android Application Development
    • iOS Application Development
    • React Native
    • Flutter
  • Website Design and Development
  • Chatbot Development
  • AI / ML - Intelligent application development 
  • Cloud Migration - AWS, Azure, GCP
  • App Modernisation
Focus
Service Focus
Portfolio
5 Portfolios
UI / UX design and Development
The Week is an Indian news magazine founded in the year 1982 and is published by The Malayala Manorama Co. Ltd. According to the Audit Bureau of Circulations, it is the largest circulated English news magazine in India. The client wanted to revamp its news portal (web) wi...
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$10001 to $50000 12 weeks Media
Discussions
If you look around you, a lot of things have been operating on wireless technology like mobile phones, TV, music players, flying drones, Alexa, and even autonomous cars. The successful implementation of wireless technology among these devices was possible because of high computation power, rapid data processing, and miro-sensors. The invisible technology is notifying its prominent presence in almost all areas, and its approval has never had to wait for any testimonials. AI and cloud computing have refined these technologies further to perform better. Cloud computing is in complete transition form with edge computing. What is edge computing? The ‘Edge’ in over here is referred for computing infrastructure closer to the source of data. It means the data is stored in local computers and storage devices (IoT itself), rather than routing all the information through a centralized Data Center in the cloud. It includes storage, computes, and network connectivity. ( Image source: alibabacloud) The edge computing spans an array of technologies like, Wireless sensor networks Cloud/fog computing Distributed data storage and retrieval Autonomic self-healing networks Remote cloud services Augmented reality Cooperative distributed peer-to-peer ad-hoc networking and processing classifiable as local In the traditional model of IoT, all the devices are connected to a central server. The distant cloud environments are not ideal for latency-sensitive and bandwidth-hungry applications. Cloud computing bears few limitations due to central storage systems like data security threats, operational costs, and performance issues. In edge computing, the data is closer to the end-user, often on-premise or near a network access point. Example of edge computing The next-gen computing will be influenced by a lot by Edge Computing. Some of the best applications of edge computing will be in the health sector and autonomous vehicles. The sensor in an autonomous vehicle does not have to rely on a remote server to make a life-saving decision. The IoT device itself is empowered to provide data for making decisions. Edge computing is also allowing drone management for unmanned maintenance and virtual fraud detection for banking, retail entertainment, and more. You call this a coincidental or perfect timing; the edge computing complements IoT devices for its maximum operability. Impact of edge computing on IoT Edge computing will specifically improve the IoT performance as it will help to address the pain-points of IoT. (Image source: wildnettechnologies) Low latency services: In a data-driven world, robust network connectivity is essential for rendering low-latency services. Edge infrastructure technology collects, processes, and reduces the enormous quantities of data. The edge computing allows IoT devices to function, even when there is limited or intermittent connectivity to the wider cloud computing network. Security: Security vulnerabilities in IoT is a chief barrier for its implementation, especially in smart homes. Since the data is stored locally to a device, it provides designers with more opportunities to protect the data as soon as it is gathered with the use of memory encryption as well as dedicated security hardware. Also, the sensitive data is less exposed to potential sources of attackers. With edge computing, various security parameters can be implemented like intrusion detection systems, distributed firewalls, authentication and authorization algorithms, and privacy-preserving mechanisms. Low operational costs: Edge computing makes your data more relevant, useful, and actionable. It reduces the overall traffic loads of your enterprise, and it improves performance for all of your enterprise applications and services. Speed: Edge computing makes your data more relevant, useful, and actionable. It reduces the overall traffic loads of your enterprise and it improves performance for all of your enterprise applications and services. Scalability: Scalability is an absolute necessity for the success of the IoT. It means the IoT networks connected with edge computing should be able to add more devices and handle traffic in real-time. Edge data centers allow enterprises to efficiently support their end-users with little physical distance or latency. The edge computing’s scalability is an attractive proposition for companies implementing digital transformation. Reliability: With edge computing, IoT users can rely more on their usability. The IoT edge computing devices and with edge data centers positioned closer to end-users, there is less chance of a network problem. Support for 5G network: 5G will mark the rise of Edge Computing, and it will help the telecommunication and wireless communication models to a great extent as such it forms a major part of IoT infrastructure. It will reduce the latency in the 5G network. Some of the leading players in Edge computing product and services are: ADLINK Technology Amazon Cisco ClearBlade Dell EMC Google Hitachi Vantara HPE Huawei IBM Intel Microsoft Oracle Saguna SAP Edge computing and IoT are quickly becoming the norm in the digital world. With improved internet speed (5G), lower prices, and better security, the IoT and edge computing are set to transform the current business processes.
If you look around you, a lot of things have been operating on wireless technology like mobile phones, TV, music players, flying drones, Alexa, and even autonomous cars. The successful implementation of wireless technology among these devices was possible because of high computation power, rapid data processing, and miro-sensors. The invisible technology is notifying its prominent presence in almost all areas, and its approval has never had to wait for any testimonials. AI and cloud computing have refined these technologies further to perform better. Cloud computing is in complete transition form with edge computing. What is edge computing? The ‘Edge’ in over here is referred for computing infrastructure closer to the source of data. It means the data is stored in local computers and storage devices (IoT itself), rather than routing all the information through a centralized Data Center in the cloud. It includes storage, computes, and network connectivity. ( Image source: alibabacloud) The edge computing spans an array of technologies like, Wireless sensor networks Cloud/fog computing Distributed data storage and retrieval Autonomic self-healing networks Remote cloud services Augmented reality Cooperative distributed peer-to-peer ad-hoc networking and processing classifiable as local In the traditional model of IoT, all the devices are connected to a central server. The distant cloud environments are not ideal for latency-sensitive and bandwidth-hungry applications. Cloud computing bears few limitations due to central storage systems like data security threats, operational costs, and performance issues. In edge computing, the data is closer to the end-user, often on-premise or near a network access point. Example of edge computing The next-gen computing will be influenced by a lot by Edge Computing. Some of the best applications of edge computing will be in the health sector and autonomous vehicles. The sensor in an autonomous vehicle does not have to rely on a remote server to make a life-saving decision. The IoT device itself is empowered to provide data for making decisions. Edge computing is also allowing drone management for unmanned maintenance and virtual fraud detection for banking, retail entertainment, and more. You call this a coincidental or perfect timing; the edge computing complements IoT devices for its maximum operability. Impact of edge computing on IoT Edge computing will specifically improve the IoT performance as it will help to address the pain-points of IoT. (Image source: wildnettechnologies) Low latency services: In a data-driven world, robust network connectivity is essential for rendering low-latency services. Edge infrastructure technology collects, processes, and reduces the enormous quantities of data. The edge computing allows IoT devices to function, even when there is limited or intermittent connectivity to the wider cloud computing network. Security: Security vulnerabilities in IoT is a chief barrier for its implementation, especially in smart homes. Since the data is stored locally to a device, it provides designers with more opportunities to protect the data as soon as it is gathered with the use of memory encryption as well as dedicated security hardware. Also, the sensitive data is less exposed to potential sources of attackers. With edge computing, various security parameters can be implemented like intrusion detection systems, distributed firewalls, authentication and authorization algorithms, and privacy-preserving mechanisms. Low operational costs: Edge computing makes your data more relevant, useful, and actionable. It reduces the overall traffic loads of your enterprise, and it improves performance for all of your enterprise applications and services. Speed: Edge computing makes your data more relevant, useful, and actionable. It reduces the overall traffic loads of your enterprise and it improves performance for all of your enterprise applications and services. Scalability: Scalability is an absolute necessity for the success of the IoT. It means the IoT networks connected with edge computing should be able to add more devices and handle traffic in real-time. Edge data centers allow enterprises to efficiently support their end-users with little physical distance or latency. The edge computing’s scalability is an attractive proposition for companies implementing digital transformation. Reliability: With edge computing, IoT users can rely more on their usability. The IoT edge computing devices and with edge data centers positioned closer to end-users, there is less chance of a network problem. Support for 5G network: 5G will mark the rise of Edge Computing, and it will help the telecommunication and wireless communication models to a great extent as such it forms a major part of IoT infrastructure. It will reduce the latency in the 5G network. Some of the leading players in Edge computing product and services are: ADLINK Technology Amazon Cisco ClearBlade Dell EMC Google Hitachi Vantara HPE Huawei IBM Intel Microsoft Oracle Saguna SAP Edge computing and IoT are quickly becoming the norm in the digital world. With improved internet speed (5G), lower prices, and better security, the IoT and edge computing are set to transform the current business processes.

If you look around you, a lot of things have been operating on wireless technology like mobile phones, TV, music players, flying drones, Alexa, and even autonomous cars. The successful implementation of wireless technology among these devices was possible because of high computation power, rapid data processing, and miro-sensors.

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The invisible technology is notifying its prominent presence in almost all areas, and its approval has never had to wait for any testimonials. AI and cloud computing have refined these technologies further to perform better. Cloud computing is in complete transition form with edge computing.

What is edge computing?

The ‘Edge’ in over here is referred for computing infrastructure closer to the source of data. It means the data is stored in local computers and storage devices (IoT itself), rather than routing all the information through a centralized Data Center in the cloud. It includes storage, computes, and network connectivity.

undefined

( Image source: alibabacloud)

The edge computing spans an array of technologies like,

  • Wireless sensor networks
  • Cloud/fog computing
  • Distributed data storage and retrieval
  • Autonomic self-healing networks
  • Remote cloud services
  • Augmented reality
  • Cooperative distributed peer-to-peer ad-hoc networking and processing classifiable as local

In the traditional model of IoT, all the devices are connected to a central server. The distant cloud environments are not ideal for latency-sensitive and bandwidth-hungry applications. Cloud computing bears few limitations due to central storage systems like data security threats, operational costs, and performance issues. In edge computing, the data is closer to the end-user, often on-premise or near a network access point.

Example of edge computing

The next-gen computing will be influenced by a lot by Edge Computing. Some of the best applications of edge computing will be in the health sector and autonomous vehicles. The sensor in an autonomous vehicle does not have to rely on a remote server to make a life-saving decision. The IoT device itself is empowered to provide data for making decisions.

Edge computing is also allowing drone management for unmanned maintenance and virtual fraud detection for banking, retail entertainment, and more. You call this a coincidental or perfect timing; the edge computing complements IoT devices for its maximum operability.

Impact of edge computing on IoT

Edge computing will specifically improve the IoT performance as it will help to address the pain-points of IoT.

undefined

(Image source: wildnettechnologies)

  • Low latency services: In a data-driven world, robust network connectivity is essential for rendering low-latency services. Edge infrastructure technology collects, processes, and reduces the enormous quantities of data. The edge computing allows IoT devices to function, even when there is limited or intermittent connectivity to the wider cloud computing network.
  • Security: Security vulnerabilities in IoT is a chief barrier for its implementation, especially in smart homes. Since the data is stored locally to a device, it provides designers with more opportunities to protect the data as soon as it is gathered with the use of memory encryption as well as dedicated security hardware. Also, the sensitive data is less exposed to potential sources of attackers. With edge computing, various security parameters can be implemented like intrusion detection systems, distributed firewalls, authentication and authorization algorithms, and privacy-preserving mechanisms.
  • Low operational costs: Edge computing makes your data more relevant, useful, and actionable. It reduces the overall traffic loads of your enterprise, and it improves performance for all of your enterprise applications and services.
  • Speed: Edge computing makes your data more relevant, useful, and actionable. It reduces the overall traffic loads of your enterprise and it improves performance for all of your enterprise applications and services.
  • Scalability: Scalability is an absolute necessity for the success of the IoT. It means the IoT networks connected with edge computing should be able to add more devices and handle traffic in real-time. Edge data centers allow enterprises to efficiently support their end-users with little physical distance or latency. The edge computing’s scalability is an attractive proposition for companies implementing digital transformation.
  • Reliability: With edge computing, IoT users can rely more on their usability. The IoT edge computing devices and with edge data centers positioned closer to end-users, there is less chance of a network problem.
  • Support for 5G network: 5G will mark the rise of Edge Computing, and it will help the telecommunication and wireless communication models to a great extent as such it forms a major part of IoT infrastructure. It will reduce the latency in the 5G network.

Some of the leading players in Edge computing product and services are:

  • ADLINK Technology
  • Amazon
  • Cisco
  • ClearBlade
  • Dell EMC
  • Google
  • Hitachi Vantara
  • HPE
  • Huawei
  • IBM
  • Intel
  • Microsoft
  • Oracle
  • Saguna
  • SAP

Edge computing and IoT are quickly becoming the norm in the digital world. With improved internet speed (5G), lower prices, and better security, the IoT and edge computing are set to transform the current business processes.

Contact information
in
7EDGE
Arekere Village Begur Hobli, Bannerghatta Main Road, Bengaluru, Karnataka 560076
India
+91 70222 22227
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