Traydstream

Traydstream

Automates the most critical aspects of converting, checking, and managing trade finance documents.

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DateInvestorsAmountRound
-investor

€0.0

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N/A

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investor investor

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investor investor

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$11.0m

Valuation: $105m

10.6x EV/Revenue

Late VC
Total Funding000k

Financials

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Revenues, earnings & profits over time
GBP2018201920202021202220232024
Revenues0000000000000000000000000000
% growth10 %776 %238 %80 %93 %72 %101 %
EBITDA0000000000000000000000000000
% EBITDA margin(4506 %)(1146 %)(383 %)(212 %)(200 %)--
Profit0000000000000000000000000000
% profit margin(4015 %)(786 %)(274 %)(157 %)(167 %)(68 %)-
EV0000000000000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x00.0x00.0x
R&D budget0000000000000000000000000000
R&D % of revenue2040 %1434 %313 %----

Source: Company filings or news article

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More about Traydstream
Made with AI
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Traydstream operates in the trade finance sector, providing an automated platform that simplifies and enhances the document scrutiny process for banks and corporate exporters. The company leverages artificial intelligence and a comprehensive set of over a quarter of a million trade rules to ensure faster, more accurate, and scalable document checking. Traydstream's platform uses intelligent optical character recognition (OCR) and human-supervised machine learning to transform both paperwork and electronic documents into a valuable knowledge base. This helps clients improve efficiency, reduce operational and compliance risks, and make more informed decisions. The business model primarily involves subscription fees from banks and corporate clients who use the platform to streamline their trade finance operations. Traydstream's market includes major banks and large corporate exporters globally, aiming to digitize and automate trade finance processes. The company generates revenue through platform subscriptions and possibly additional services like data analytics and third-party integrations.

Keywords: trade finance, document scrutiny, AI, OCR, machine learning, banks, corporate exporters, compliance, efficiency, automation.

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