Learn more about how the Cloud Combinator team used their AI and ML knowledge alongside AWS technologies to enhance a series of platform functions for Door - a revolutionary service that enhances the information exchange between fund investors and asset managers in the tightly regulated financial world.
About Door
Door is a pioneering platform that has transformed the way asset managers and fund investors engage by streamlining their digital interactions. The platform provides a global digital space where asset managers can share and update information on due diligence questionnaires (DDQs), requests for proposals (RFPs), and fund research. This space simplifies the exchange of critical data, saving time and reducing the repetitive nature of traditional methods.
Door's platform enhances compliance and data governance, supports real-time updates, and allows for customisation to meet specific research needs, ultimately improving efficiency and reducing risk for asset managers and owners.
Today, Door is used by over 350 major asset managers, specialist investment boutiques, wealth managers, intermediaries, and financial institutions in around 40 countries to support their research processes, improve risk controls, and meet stewardship and regulatory responses.
Customer Challenge
While many businesses that Cloud Combinator works alongside are looking to develop or change one specific area of their business, the team at Door sought AI and ML solutions for a number of different service areas:
1. Model Choice
Door needed an advanced AI solution that allowed clients to select AI models to perform their chosen tasks - ensuring data stayed within their region and complied with local data protection laws.
2. Performance Optimization
Door’s existing system struggled with slow query response times, which negatively impacted user experience and operational efficiency. As such, swifter response times were required.
3. Security
Enhancing the security framework was critical to ensuring secure VPC-to-VPC connectivity for model queries and protecting the sensitive data handled by Door.
While Door is at the cutting edge of finance industry requirements, failing to address these challenges meant Door risked falling behind competitors in the marketplace since enhanced compliance, performance, and security are crucial for maintaining a competitive edge and client trust.
Partner Solution
After gathering a full understanding of Door’s platform and the challenges the Door team hoped to overcome, Cloud Combinator engineered a solution that focused on three fundamentals of their AI tooling: User’s AI model choice, performance optimisation, and security enhancement.
Model Choice
The solution incorporated AWS Bedrock to provide a range of possible AI models, allowing Door to offer their clients the unique capability of selecting the specific model(s) best suited to their regional compliance and data sovereignty requirements.
This aspect of the solution was particularly critical as it addressed the varying legal and operational needs of Door's international client base - ensuring data could be processed and stored within the client's specified region. This choice of AI model empowers clients to maintain compliance with local data protection laws and regulations, which is a significant concern for global financial entities concerned with data privacy and security.
Performance Optimization
To address the need for high-speed data processing and enhanced user experience, our solution focused on optimising the performance of the AI models used in the Door platform.
By integrating Anthropic Claude into the AWS Bedrock infrastructure, the project achieved a substantial increase in query processing speed compared to previous models hosted outside of AWS. This improvement not only reduced the time clients spent waiting for responses but also streamlined the overall interaction with the Knowledge Base - making the platform more efficient and user-friendly.
Security Enhancements
Owing to the sensitive nature of the data handled by Door, strengthening the security framework of their AI tooling was paramount. The Cloud Combinator team’s solution implemented secure Virtual Private Cloud (VPC) to VPC connectivity, ensuring that all model queries were conducted within a protected environment.
This setup minimised potential vulnerabilities by restricting access to trusted entities and creating a secure bridge between different service components, thereby enhancing the overall security credentials of the Door platform. This was crucial for building and maintaining trust with their clients, who require assurance that their financial data is handled with the highest security standards.
Results and Benefits
With our solution spanning three key areas, the Door team has seen distinct results and benefits in data control, performance, and security:
Regional Data Control
The integration of AWS Bedrock allowed Door’s' clients to select AI models that ensured data remained within specific regions. This capability significantly enhanced compliance with regional data protection laws and improved data governance.
With the certainty of meeting local regulatory requirements, Door further strengthened their position in the market, providing clients with the confidence that their data was handled securely and legally, thereby reducing potential legal risks and increasing client trust.
Enhanced Performance
By incorporating Anthropic Claude into the AWS Bedrock infrastructure, query response times improved by up to 300%. This substantial performance boost addressed the previous issue of slow response times, making the Knowledge Base platform faster and more efficient.
As a result, clients experienced reduced wait times and smoother interactions with the system, leading to higher user satisfaction and a more streamlined workflow, ultimately enhancing the overall user experience.
Strengthened Security
The implementation of secure VPC-to-VPC connectivity ensured that all model queries were conducted within a protected environment. This enhancement significantly reduced vulnerabilities and bolstered the security framework of Door platform.
By meeting the high-security standards expected by global asset managers, Door not only safeguarded sensitive data but also reinforced their reputation for reliability and trustworthiness in handling financial information, attracting and retaining clients who prioritize data security.
Why Cloud Combinator?
As an AWS Advanced Partner, the Cloud Combinator team has extensive experience integrating individually configured AWS services into business processes. Above and beyond our credentials, we also have a proven track record of delivering solutions that demand the highest levels of security - with clients as diverse as law enforcement partners through to international recruitment services, all holding highly sensitive data.
This combination of expertise and security awareness made Cloud Combinator stand out from the crowd - instilling confidence in the team at Door. From a cost perspective, our unique AI and ML Project Accelerator process meant that Door could see their solutions develop quickly - and with funding leveraged from AWS - in way that didn’t demand upfront expenditure.
Client Satisfaction
“Working with Cloud Combinator is like having another development team with expert AWS knowledge which has allowed us to embed all the capabilities of AWS Bedrock into our platform such that we can improve performance, security and scalability of our AI capabilities with ease.”
Mark Walters, Door’s Head of Engineering
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