
Goteal
Payroll data API for automated income verification.
Date | Investors | Amount | Round |
---|---|---|---|
* | £1.4m | Seed | |
Total Funding | 000k |
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Goteal, also known as Teal, is a financial software company founded in 2023 and headquartered in London, United Kingdom. The company was established by a team of fintech operators: CEO Michael Hart, CPO André Saavedra Pinto, and CTO Luchesar Cekov. Their mission is to enhance transparency and efficiency in the credit market by providing lenders with the necessary infrastructure for reliable, real-time affordability data.
The company operates a fully modular API platform that connects with payroll and HR systems, enabling lenders to access real-time, verified income and employment data directly from the source, with user consent as a core principle. This streamlines the income verification process, allowing for instant underwriting decisions. Goteal's services help lenders reduce credit risk, lower operational costs associated with manual underwriting, and improve conversion rates through fully digital user flows. The platform offers solutions for income, employment, and identity verification.
Goteal's technology includes features like payslip analysis using LLMs for data extraction, a fraud detection layer to verify document authenticity, and a no-code connectivity dashboard for business and risk teams to monitor performance. The data is delivered via API in various formats, such as JSON, to integrate directly into a lender's underwriting workflow. The company is registered with the ICO and is GDPR compliant, ensuring all user data is end-to-end encrypted. As a venture capital-backed firm, Teal has secured funding from investors including ACF Investors, KFund, and Passion Capital.
Keywords: income verification, employment verification, payroll API, credit risk, underwriting automation, open finance, affordability data, fintech, financial data, API platform, fraud detection, loan origination, lending technology, real-time data, identity verification, credit decisioning, document analysis, financial software, digital lending, consent-based data