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Australia
2017 (9 Years)
Last online: No recent activity
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TrustFinance is not a licensed financial advisor and is not affiliated with any financial institutions in your region. We encourage you to do your own research before making any investment decisions.
Warning
This company is currently Unproved.
Please be cautious of the potential risks!
License
A Grade License
Issued by globally renowned regulators, these licenses ensure the highest trader protection through strict compliance, fund segregation, insurance, and regular audits. Dispute resolution and adherence to AML/CTF standards further enhance security.
B Grade License
Granted by respected regional regulators, these licenses offer robust safety measures such as fund segregation, financial reporting, and compensation schemes. Though slightly less strict than Tier 1, they provide dependable regional protection.
C Grade License
Issued by regulators in emerging markets, these licenses offer basic protections such as minimum capital requirements and AML policies. Oversight is less stringent, so traders should exercise caution and verify safety measures.
D Grade License
From jurisdictions with minimal oversight, these licenses often lack key protections like fund segregation and insurance. While attractive for operational flexibility, they pose higher risks to traders.
TrustFinance is not a licensed financial advisor and is not affiliated with any financial institutions in your region. We encourage you to do your own research before making any investment decisions.
Get to know Elula
Company Information
Get to know Elula
Founded in 2017, Elula is a B2B technology company specializing in AI-driven software. Its mission is to make it easy for large enterprises to benefit from AI by offering products that solve specific business problems, such as predicting customer churn and identifying opportunities to enhance customer engagement. The company's platforms, like Sticky and Nudge, integrate with existing systems to provide actionable insights without requiring clients to have in-house data science teams.
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