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AI-Powered Risk Management Platform for Financial Institutions

DeepInspire collaborates with a Swiss-based AI company in building an AI-powered risk management platform for the world's leading financial institutions.

AI-Powered Risk Management Platform for Financial Institutions
About the client
The client is a Switzerland-based AI company focused on building modern infrastructure that supports risk management and data-driven decision-making across financial institutions. The platform is used by financial professionals worldwide to analyse high-volume data, detect emerging risks, and make faster, more informed decisions. They develop AI-powered tools that help investment, risk, and compliance teams process large volumes of structured and unstructured data, identify potential risks and opportunities, and respond to them more efficiently. The platform combines traditional machine learning models with generative AI to surface signals that would typically require extensive manual research. This enables financial institutions to improve risk visibility, accelerate decision-making, and operate with greater accuracy and confidence.
Location:
Switzerland
Domain:
Fintech, Artificial Intelligence
Content
  • 01Challenges
  • 02Our Solutions
  • 03Value Delivered
Challenges
Challenges
Our client's primary goal is to build a next-generation risk management platform, enabling financial institutions to detect, analyse, and respond to risks more effectively. The platform needed to leverage advanced AI to process multiple data streams, including regulatory and market data such as U.S. Securities and Exchange Commission (SEC) filings, in order to identify risk signals and deliver actionable insights. To support these goals, we had to tackle several key challenges:

  • Integrating with numerous data providers, each with different data formats, APIs, and security requirements;

  • Ensuring seamless and accurate data flow while maintaining high performance and reliability;

  • Harmonising various datasets into a unified structure for consistent risk analysis and reporting;

  • Integrating with multiple AI providers, such as ChatGPT and Gemini, each with unique capabilities and APIs;

  • Developing scalable integration frameworks to support different AI models;

  • Maintaining data privacy and security, complying with industry standards and best practices;

  • Balancing the strengths of different AI models while ensuring consistent user experiences and fast response times

Built for financial institutions

Built for financial institutions

AI-Powered Risk Management & Decision Support

Our Solutions
Discovery Phase
We began with a comprehensive discovery phase to ensure we fully understand our client's vision and specific challenges. This involved analysing client's requirements and aligning them with business goals, defining key workflows and and setting priorities for the product roadmap, and preparing a detailed product backlog to guide the development process. This phase also included a deep dive into the existing infrastructure to ensure smooth integration with new technologies and solutions.
MVP Development
DeepInspire played a critical role in developing the MVP, focusing on delivering core functionalities that would provide immediate value while also laying the groundwork for future enhancements. While streamlined, the MVP version is a fully functional product designed to meet the core clients' needs right from the start.
Here is the core functionality we built within the MVP:
Key Technical Solutions
AI integrations
One of the standout features of the platform is its integration with a range of AI providers. For instance, the platform leverages ChatGPT for analyzing U.S. Securities and Exchange Commission (SEC) data. Within the MVP, we integrated AI functionalities from leading providers such as OpenAI, Gemini, and AWS Bedrock.
These integrations involved:
  • Research and analysis

    We conducted extensive research to determine the best AI models and technologies to meet our client’s specific needs, ensuring that the platform could offer cutting-edge analytical capabilities.

  • Seamless integration

    We developed frameworks that allowed these AI models to be integrated smoothly into the platform, enabling users to harness the power of AI for data analysis, prediction, and decision-making.

Database Integrations
A critical component of the MVP was setting up robust and secure integrations with dozens of data providers. The platform needed to manage and analyse vast amounts of financial data, requiring databases that are not only scalable but also stable and secure.
We ensured that:
  • Stabiliity

    The databases were configured to handle large volumes of data with high performance, ensuring that users could access and analyse data without delays or disruptions.

  • Security

    We implemented advanced security protocols, including encryption of data at rest and in transit, to protect sensitive financial information. We are conducting regular security audits to ensure ongoing compliance with industry standards.

APIs Development
To ensure seamless communication between the platform’s front-end and back-end, we developed secure and reliable APIs.
This was crucial for:
  • Data flow:

    The APIs facilitated smooth and efficient data flow between the front-end user interfaces and the back-end systems, ensuring that users received real-time updates and could interact with the platform without interruptions.

  • Security

    We prioritised secure API development, incorporating authentication and authorisation mechanisms to prevent unauthorised access and ensure that data remained protected throughout its journey between the  front-end and back-end components.

Security Measures
Given the sensitive nature of financial data, security was a top priority in the development of the platform.
We implemented a robust security framework that included:
  • Data encryption

    All data, whether at rest in the database or in transit between different components of the platform, was encrypted using industry-leading standards to prevent unauthorised access and data breaches.

  • Secure authentication

    We implemented secure authentication mechanisms, including multi-factor authentication (MFA), to ensure that only authorised users could access the platform and its features.

  • Regular security audits

    To maintain the highest level of security, we are conducting regular security audits and assessments. These audits help identify and mitigate potential vulnerabilities, ensuring ongoing protection against emerging threats.

Circle dots

Through these solutions, DeepInspire has not only helped the client build a robust and secure AI-powered platform but has also ensured that the platform can scale and adapt to future needs.

Value Delivered

We are helping our client build an AI-powered risk management platform with advanced data analysis and decision support capabilities for the world's leading financial institutions.

The solution we are building empowers institutions to combine the power of generative AI with comprehensive financial datasets to:
  • Detect early risk signals across complex and fragmented data sources;
  • Transform complex financial data into actionable insights;
  • Make better-informed investing and risk management decisions;
  • Support faster and more informed investment and risk management decisions;
  • Gain deep analytical insights to make strategic decisions with greater accuracy and efficiency;
  • Identify opportunities, manage risks, and improve information-sharing within companies.

Backed by cutting-edge AI-powered tools, businesses can confidently identify and respond to emerging risks, enhance efficiency, make smarter decisions, and stay ahead of the competition.

Deliverables
We helped our client build an AI- powered risk management platform that enables financial institutions to detect and act on risks faster.
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