Broker Research Platform for Financial Analytics Services

A web-based SaaS solution for tracking, launching official feedback loops, and evaluating brokerage services

Industry

FinTech

Team

10 members

Started in

2021

Country

USA

About a Project

Our customer is a US company providing consulting, research, analytics, and technology services for financial institutions. It needed a SaaS web-based platform for tracking, launching feedback loops, and evaluating services from brokers in terms of business value and cost. The company couldn’t create the solution with an internal team and turned to Cleveroad for it.

Goals set to Cleveroad

Design and develop an MVP of needed SaaS oriented on the European Union financial markets.

Create a software solution that allows the customer to sell SaaS services to brokers, asset managers, and hedge funds.

Increase platform capabilities and enrich the MVP solution through a long-term partnership.

Solutions we've delivered

Creating a web-based solution that covers brokerage research and supportive business processes. Ensuring the solution's compliance with MiFID II rules for using such software in the EU.

Design and build a SaaS platform that automates all business processes related to the target client audience. It includes a Voting web app, Commission Manager, Event tracker web app, and Service Provider Portal.

Continuous integration of the complex ecosystem of several portals for parties taking part in broker services tracking and evaluation. Delivery of new functionality in the frame of ongoing tech partnership with the customer.

Results for the Customer

The software platform was successfully delivered; an MVP version development allowed the customer to reduce the time to launch and start using the solution as soon as possible.

The solution allows all categories of target buyers to perform their duties within the platform so that the customer can provide paid SaaS services to these clients, receiving income.

The customer received full technical support, which allowed them not to expand the internal tech team and achieve better cost-effectiveness in the platform's maintenance and scaling.

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