Stop building compliance reports
Global banking rules are a mess. Instead of building custom reports for every regulator, what if you could submit your data once and be done? Here's the API for that.
⚡ The Signal
Global financial regulations are supposed to create stability. Instead, they're creating chaos. While the goal has been harmonization, the reality is a growing fragmentation, with major markets like the US, EU, and Japan adopting standards like Basel III at different speeds and with unique local tweaks. This divergence is creating a minefield for any bank operating across borders, forcing them to navigate a thicket of disconnected rules.
🚧 The Problem
A multinational bank might need to report risk data to the Federal Reserve in the US, the ECB in Europe, and the FSA in Japan. Each regulator has its own specific format, its own set of required calculations, and its own submission portal.
The result? Massive, duplicated engineering effort. Banks build and maintain brittle, custom pipelines for every single jurisdiction. A small rule change in one country can trigger a costly, months-long IT project. It’s inefficient, expensive, and dangerously prone to error. This isn't a niche issue; it's a multi-million dollar headache for every global financial institution.
🚀 The Solution
Enter Komply.
Komply is a simple, powerful API that acts as the universal translator for global financial compliance. Instead of building dozens of unique reporting engines, banks integrate one API. They submit their raw risk and exposure data to Komply, and we handle the rest.
Need to file a FR Y-9C in the US? Call the Komply endpoint with "US-FED-Y9C" as the target format. Need to generate a COREP report for the EU? Just change the target. Komply ingests the raw data and transforms it into the precise, jurisdiction-specific format required, saving banks millions in duplicative engineering and letting them focus on actual risk management, not report formatting.
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💰 The Business Case
Revenue Model
Komply’s revenue model is built for scale and alignment with customer needs. It starts with a tiered API subscription, with plans based on the number of jurisdictions a bank needs to report to. This is supplemented by usage-based pricing—a metered fee based on data volume or the number of reports generated. For large, complex institutions, an Enterprise Support package offers dedicated onboarding, integration assistance, and premium support.
Go-To-Market
We’ll hook initial users with a free, instantly valuable tool: a "Jurisdiction Jargon Converter" that translates a small snippet of risk data from one format to another. To build developer trust and create a funnel, we'll release a lightweight, open-source Python library for transforming data between just two popular jurisdictions (e.g., US to EU). Our main inbound engine will be programmatic SEO; we'll build the ultimate "Financial Regulation Wiki," with detailed pages on every global reporting standard, attracting compliance officers and quants through organic search.
⚔️ The Moat
The competitive landscape includes legacy giants like Adenza and Wolters Kluwer. Their solutions are often on-premise, clunky, and not built for the modern, API-driven world. Komply's edge is its developer-first approach.
The real unfair advantage is workflow lock-in. Once a bank integrates Komply into its core risk and compliance pipeline, the API becomes critical infrastructure. The cost, complexity, and operational risk of ripping it out to switch to a competitor or build an in-house solution become prohibitively high. We become the foundational layer for their global reporting.
⏳ Why Now
The pressure is mounting. Regulators are demanding more granular data, and the scope of what needs to be reported is expanding. As major institutions like Standard Chartered prepare to expand their crypto offerings, they’ll face entirely new sets of reporting requirements that legacy systems can't handle.
Simultaneously, regulators are increasing scrutiny on systemic risks, with the Bank of England, for example, calling for action on the leverage used by hedge funds. This requires faster, more accurate data submission. For modern finance, the importance of solid compliance fundamentals and data archival has never been more critical. The old way of managing this complexity is breaking.
🛠️ Builder's Corner
This is just one way to build the MVP, but it's a solid one.
A Python backend using FastAPI provides a high-performance, asynchronous foundation for the API. The core transformation logic can be powerfully handled by the Pandas library. You'd ingest raw data (e.g., a CSV or JSON payload of trades and positions) into a Pandas DataFrame.
The secret sauce is how you store the rules. A PostgreSQL database would hold the intricate rulesets and mappings for each jurisdiction. Think of tables defining which input columns map to which line item on a specific regulatory report, along with the formulas for calculating derived values. When a user requests a report for "EU-ECB-COREP," the FastAPI backend queries the Postgres database for the right ruleset, applies the transformations using Pandas, and returns the formatted report.
Legal Disclaimer: GammaVibe is provided for inspiration only. The ideas and names suggested have not been vetted for viability, legality, or intellectual property infringement (including patents and trademarks). This is not financial or legal advice. Always perform your own due diligence and clearance searches before executing on any concept.
