AI-powered financial brokering platform
Featuring insights from:
Software Development
LVS Brokers Oy
About the client
LVS Brokers is one of the leading broker services in Finland, developing brokering technology for financial solutions, electricity, and insurance services. The goal of the company is to help consumers and corporates find the best service providers, individually for their needs. By doing this LVS Brokers also help the service providers, such as banks and other companies, get more customers, so they can thrive in their own businesses and grow. The service providers integrate with LVS Brokers technology platform through APIs.
Problem
Every partner (banks, insurers, utilities) exposed a different API, auth scheme, and data model. Failures were hard to compare, retries risked duplicates, and compliance required a clear audit trail for sensitive data.
Approach
We built a unified integration layer in Python/Django with a single internal contract. Each partner sits behind an adapter, so mapping, auth, and rate limits are handled locally without touching core logic. Processing is idempotent, errors share a common taxonomy, and events are traceable end-to-end. The stack runs on PostgreSQL with predictable migrations and environment parity for sandbox vs. production.
Outcomes
Faster onboarding of new partners via reusable adapters and a single contract
More stable peak-time traffic thanks to backoff, throttling, and safe retries
Clear audit trail and PII handling aligned with compliance expectations
Lower support load - errors are classified the same way across partners
Product teams launch new offers without changing the core broker flow
Project overview
Partnership Goal
Create a repeatable, auditable partner-integration capability that scales across finance, insurance, and energy providers without slowing delivery.
From many APIs to one contract
Partners stay unique; the platform doesn’t have to.
We introduced a stable internal contract that the broker platform speaks all the time. Each partner connects through a small adapter that maps data, negotiates auth, and handles quirks like pagination or date formats. If a partner changes something, the adapter absorbs it - core flows stay steady and releases remain low risk.
Normalised responses and a shared error language made dashboards and alerts meaningful. Instead of one-off fixes, we improve the platform once and let every integration benefit.
Shipping with guardrails
Idempotent processing, safe retries, and traceability by default.
Requests are uniquely keyed to avoid duplicates. Timeouts, backoff, and circuit breakers protect SLAs when a partner slows down. Each step writes a light audit trail so support can answer “what happened?” in seconds, and compliance has a complete view without digging into logs.
Sandbox mirrors production closely, with contract tests and mock partners catching breaking changes before they reach customers.
What changed for teams
Less firefighting, more launches.
Product can add a new provider by shaping an adapter, not rewriting flows. Operations see where each request is in the journey instead of guessing. Support handles issues faster because all partners report problems the same way. The platform grows without getting harder to run.
“Polar Night Software took an important role in the partner integrations process for LVS Brokers. Building a highly reliable and well-organised partner integration layer was the main goal. Local LVS Brokers management worked together with Polar Night Software to ensure compatibility with LVS Brokers’ and their customers’ systems. The feedback from the developers, customers and the other partners involved has been positive and Polar Night Software is considered a reliable development partner.”
How our team turned ideas into a working, scalable solution
What we worked on
Services
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Aku Kajan
Commercial Director
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