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CASE STUDIES · 2022

Debtray

Debtray is a data analytics platform for corporate debt, built for banks, asset managers, and enterprises to price and time debt more efficiently. By surfacing deep insights from bond and equity markets, it gives both issuers and investors an edge in traditional finance. Raised multiple funding rounds.

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01 Overview

Overview

Debtray is a data analytics platform for corporate debt, built for banks, asset managers, and enterprises to price and time debt more efficiently. By surfacing deep insights from bond and equity markets, it gives both issuers and investors an edge in traditional finance. Raised multiple funding rounds.

02 The Challenge

The Challenge

Zero to enterprise-ready in 2 months. The platform had to ingest and process institutional-grade financial data via Refinitiv, model complex debt instruments, and deliver the kind of reliability and performance that banks and enterprises actually demand, all without a starting codebase.

03 What We Did

What We Did

We built the full platform from scratch: NestJS backend, React frontend, Refinitiv data integration, and the analytics infrastructure that turns raw debt market data into actionable insights for pricing and timing corporate debt.

04 Outcomes

Outcomes

2 months 0 to Enterprise
Multi-round Funded
Selected Screens
05 What We Learned

What We Learned

Traditional finance has zero tolerance for unreliable data pipelines. Integrating Refinitiv at speed taught us that institutional data providers require as much architecture attention as the product itself. Schema mismatches and API quirks compound fast when downstream analytics depend on precision.

Tech Stack
Tags
FinTechTradFiData Analytics

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