Workera
VerifiedUSD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 422 % | 262 % | 121 % |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | $0.0 | round |
investor investor investor | $0.0 | round | |
investor investor investor investor investor investor investor | $0.0 | round | |
investor | $0.0 | round | |
* | $23.5m | Series B | |
Total Funding | 000k |
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Recent News about Workera
EditWorkera.ai is a cutting-edge startup that focuses on enhancing workforce capabilities through AI-powered skills intelligence. The company operates in the enterprise market, serving large organizations that aim to scale their AI readiness and optimize their workforce's potential. Workera's primary clients include businesses looking to improve their employees' skills in a precise and measurable way, particularly in the fields of data science, machine learning, and artificial intelligence.
Workera's business model revolves around providing a platform that integrates seamlessly with a company's existing content stack, including proprietary, free, and paid resources. This platform reimagines how skills are classified and measured, offering an unprecedented level of precision. By doing so, Workera helps organizations deliver development opportunities at scale, ensuring that employees receive the right training and mentorship to stay at the cutting edge of technology.
The company makes money through subscription fees for its platform, which offers various tools and resources for skill assessment, benchmarking, and development. These tools help organizations shorten onboarding times, facilitate mentorship relationships, and ensure that employees are continuously improving their capabilities.
In summary, Workera.ai is revolutionizing the way enterprises measure and develop their workforce's skills, making it easier for organizations to become AI-ready and maintain a competitive edge in the market.
Keywords: AI-powered, skills intelligence, enterprise, workforce development, skill assessment, benchmarking, mentorship, seamless integration, data science, machine learning.