Edge Networks Recent Developments
EdGE Networks provides machine learning based solutions for Talent Acquisition, Workforce Optimization, Workforce Planning and Talent Transformation. The company secured its Series A funding, recently. They have been chosen to be part of the Google Lauchpad Accelerator program and recognized as ‘Cool Vendor’ by Gartner, India Emerging 20, Deloitte Fast 50, NVIDIA ECS – The Best of Show and NASSCOM Emerge50.
Edge Networks Overview
Ownership: Private - x
Employees: 70
Functional Market: Workforce Analytics, Sourcing, Recruiting, Learning & Development, ,
Key Verticals: Professional Services, ,
Edge Networks Key Cloud & HCM Applications
Talent Acquisition,
SCORES Analysis
Edge Networks Strengths
Machine Learning: Our strength is in harnessing data science using machine learning combined with NLP to solve the toughest talent acquisition and workforce optimization challenges faced by organizations. As we work on large sets of unstructured data, deep learning comes as a natural fit to accurately determine the parameters that make right person for the right job a reality. We provide relational, contextual analysis which increases the depth of analysis derived from rich data.
EdGE Labs: R&D is the corner stone of EdGE Networks which infuses innovation in our product features. Named as EdGE Labs, the R&D lab was set up in 2012 with a focus on Data Science powered by high-end GPUs & EdGE Graph (a repository of 800K skills + 3.9 MN JDs + 22 MN profiles). We have a collaborative approach to innovation and have built a co-innovation network which is an ecosystem of technology, academic, business and domain experts. This has resulted in a very intelligent solution that solves real business problems in a futuristic way.
Tangible business benefits: Our product and solutions have a layer of analytics built into them which allows us to measure the business impact juxtaposed with data shared by client. We have impacted both revenue and profits of our clients resulting from improved time, cost and accuracy of talent management. Our solution provides 40% reduction in hiring time and 2x improve in quality of hire, impacting teh customer's bottomline.
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- Key differentiators
- Domain Expertise
- Product portfolio
- Solution scope
Edge Networks HCM & Cloud HCM Applications Revenues, $M:
| Type/Year | 2015 | 2016 | YoY Growth, % |
|---|---|---|---|
| Total Revenues, $M | Subscribe | Subscribe | Subscribe |
| HCM Applications Revenues, $M | Subscribe | Subscribe | Subscribe |
| Cloud HCM Applications Revenues, $M | Subscribe | Subscribe | Subscribe |
* HCM Applications Revenues = License + Support & Maintenance + SaaS ( Hardware and Prof. Services are Excluded )
** All revenue figures are estimates based on public records, Cloud and Non-Cloud business models in Apps Run The World's vendor database, and annual survey results including vendor feedback.
Edge Networks 2016 Revenue Breakdown by Type:
| Type | License | Services | Hardware | Support & Maintenance | SaaS |
|---|---|---|---|---|---|
| % of Total Revenues | Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
| Revenues, $M | Subscribe | Subscribe | Subscribe | Subscribe | Subscribe |
Edge Networks 2016 HCM Applications Revenues By Sub-Functional Markets, $M:
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Split by Sub-Functional Markets
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2016 HCM Revenues, By Sub-Functional Markets, $M
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Edge Networks 2016 HCM Applications Revenues By Verticals, $M:
Edge Networks 2016 Total & HCM Applications Revenues by Region:
| Region | % of Total Revenues | 2016 Total Revenues, $M | 2016 HCM Applications Revenues, $M |
|---|---|---|---|
| Americas | Subscribe | Subscribe | Subscribe |
| EMEA | Subscribe | Subscribe | Subscribe |
| APAC | Subscribe | Subscribe | Subscribe |
| Total | Subscribe | Subscribe | Subscribe |
Edge Networks Direct vs Indirect sales
| Region | Direct Sales | Indirect Sales | Total |
|---|---|---|---|
| Type % | Subscribe | Subscribe | Subscribe |
| Revenues, $M | Subscribe | Subscribe | Subscribe |
Edge Networks Customers
No. of Customers: Subscribe
No. of HCM Applications Customers: Subscribe
No. of Cloud HCM Customers: Subscribe
No. of Cloud HCM Subscribers: Subscribe
Don't Miss our Customer Database
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- Reference wins across regions
- Customer Size segments
- Customer wins momentum
Edge Networks Opportunities
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- Market Opportunities at the vertical and subvertical levels
- Mergers and Acquisitions (M&A), Funding
- Geo Expansions
Edge Networks Risks
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- Ability to handle internal and external risk and challenges
Edge Networks Ecosystem
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- Health of ecosystem
- Network Effects of BPO, ISV, SI
- VAR Partners
- Direct vs Indirect sales
Edge Networks Cloud Platform (PaaS) & Infrastructure (IaaS) Details
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- Cloud Infrastructure (IaaS)
- Cloud Platform (PaaS)
- Cloud Application delivery (SaaS)
- Data Center (Hosting)
Research Methodology
Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.
Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).
For additional information on our methodologies, here's the link:
https://www.appsruntheworld.com/https://www.appsruntheworld.com/offerings
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