What is Yet Analytics?
Yet Analytics specializes in the implementation of xAPI standards, offering its flagship product, SQL LRS, a Learning Record Store designed to preprocess data for AI. This ensures that organizations can derive structured and explainable intelligence from their learning data. The company serves complex organizations across government, education, and industry, providing advisory, engineering, and support services. By focusing on enhancing AI capabilities through robust learning data infrastructure, Yet Analytics positions itself as a leader in the emerging field of learning engineering.
How much funding has Yet Analytics raised?
Yet Analytics has raised a total of $2.6M across 4 funding rounds:
Angel/Seed
$1.3M
Angel/Seed
$1M
Debt
$150K
Debt
$173K
Angel/Seed (2015): $1.3M with participation from A-Level Capital venture fund and Panther Angels
Angel/Seed (2017): $1M led by Grotech Ventures and TCP Venture Capital
Debt (2020): $150K supported by PPP
Debt (2021): $173K featuring PPP
Key Investors in Yet Analytics
A-Level Capital venture fund
A-Level Capital is a student-run venture capital firm dedicated to empowering the entrepreneurial community at Johns Hopkins University through funding and support, investing in companies led by Johns Hopkins alumni and affiliates.
Panther Angels
Panther Angels is a venture capital firm specializing in start-up investments, with a focus on high growth technology businesses in the mid-Atlantic region.
Grotech Ventures
Grotech Ventures is an investment firm focused on partnering with innovative entrepreneurial talent in high potential technology companies outside of Silicon Valley, supporting young companies that aim to transform markets.
What's next for Yet Analytics?
With a significant enterprise-level funding context, Yet Analytics is poised for substantial scaling and market expansion. The recent strategic investment signals confidence from backers in the company's unique approach to learning data and AI integration. This capital will likely be directed towards enhancing product development, expanding its engineering and support teams, and broadening its market reach within key sectors. The company's focus on structured, explainable AI derived from learning data aligns with growing industry demands for transparent and effective data utilization.
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