Level E Research Revenue and Competitors
Estimated Revenue & Valuation
- Level E Research's estimated annual revenue is currently $2.3M per year.
- Level E Research's estimated revenue per employee is $101,500
Employee Data
- Level E Research has 23 Employees.
- Level E Research grew their employee count by 5% last year.
Level E Research's People
Name | Title | Email/Phone |
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Level E Research Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | $57.6M | 318 | 24% | N/A | N/A |
#2 | $44.6M | 286 | 23% | $25.4M | N/A |
#3 | $5.1M | 44 | -6% | N/A | N/A |
#4 | $35.1M | 225 | -3% | $46.9M | N/A |
#5 | $14.5M | 100 | 5% | N/A | N/A |
#6 | $1.3M | 15 | -6% | N/A | N/A |
#7 | $1.5M | 17 | 0% | N/A | N/A |
#8 | $2.9M | 29 | -12% | N/A | N/A |
#9 | $125.2M | 691 | 6% | N/A | N/A |
#10 | $95.9M | 529 | -1% | N/A | N/A |
What Is Level E Research?
Level E Research is an Edinburgh based FinTech established in 2018 as a start-up from the world-renowned University of Edinburgh School of Informatics. Our disruptive technology, the E-Platform, combines machine learning, data science and behavioural economics enabling clients to develop, test and implement smart investment strategies at the highest levels of automation and at significantly lower cost than traditional investment management business models. The E-Platform is a fully functional front-to-back modular SaaS solution autonomously performing large scale data analysis and processing across the entire investment management life-cycle. Institutional clients or wealth managers running funds or managed accounts gain greatest economies of scale by using the E-Platform to autonomously run investment strategies including front and middle office services with real time compliance and risk monitoring and reporting, all available via web browser or mobile App. Alternatively, our AI signal engine can provide portfolio recommendations executed in the client's own account with leading brokers integrated into the platform. Our autonomous machine learning investment solutions can offer various levels of risk-adjusted returns and target volatility, while also lowering trading and administration costs, further boosting returns and operational efficiency.
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Total Funding
23
Number of Employees
$2.3M
Revenue (est)
5%
Employee Growth %
N/A
Valuation
N/A
Accelerator
Level E Research News
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Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | N/A | 23 | 92% | N/A |
#2 | $3.4M | 23 | 5% | N/A |
#3 | N/A | 23 | -8% | N/A |
#4 | $4M | 23 | -21% | N/A |
#5 | $3.4M | 23 | N/A | N/A |