
Equabli
Reimagining Recoveries.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
investor investor investor | €0.0 | round | |
* | N/A | Early VC | |
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 80 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
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Equabli, a financial technology company based in Austin, Texas, was founded in 2020 by Brandon Black, Paul Grinberg, and Blake Hogan. The leadership team, including CEO Cody Owens, brings extensive experience from the debt collection and financial services industry, having previously managed large-scale recovery operations. This background was pivotal in creating Equabli, born from the belief that a cyclical downturn would expose the need for better debt management solutions, especially for newer online lenders. The founders, who had worked together at a large debt purchasing company, leveraged their collective experience to build the firm.
Equabli operates on a Recovery as a Service (RaaS) model, providing a cloud-native Software as a Service (SaaS) suite for financial institutions, lenders, debt buyers, and agencies. The company targets the debt recovery market, offering an integrated platform to manage the entire collections lifecycle, from early delinquency to charge-off. Revenue is generated through its suite of software solutions designed to increase recoveries, reduce operating costs, and mitigate compliance risks for its clients. The firm serves a global clientele with a team of over 50 employees spread across five countries.
The company's core offering is the EQ Suite, which comprises three main products. EQ Collect is an end-to-end debt management ecosystem that allows clients to orchestrate and optimize recovery strategies, including managing a pre-vetted network of collection agencies and law firms. EQ Engine serves as the data analytics powerhouse, using machine learning models to predict repayment, segment accounts for maximum return, and optimize omnichannel communication strategies. The third component, EQ Engage, focuses on digital, borrower-facing communications and self-service repayment options to improve engagement and reduce collection costs. A key feature across the platform is embedded compliance, which automates checks against federal, state, and local regulations.
Keywords: debt recovery, collections management, Recovery as a Service, RaaS, fintech, financial technology, SaaS, accounts receivable management, delinquency management, loan recovery, predictive analytics, machine learning collections, digital collections, compliance automation, debt lifecycle management, asset recovery, financial services software, credit lifecycle, portfolio management, borrower engagement