Deckmatch uses Cloud SQL to power insights for venture capitalists

Editor's note: Deckmatch is transforming investment deal flow for venture capitalists using artificial intelligence (AI) and advanced analytics. By storing extensive and detailed company data in Cloud SQL for PostgreSQL, Deckmatch is able to quickly provide investors with comprehensive insights into startups and their competitors. By eliminating the manual work required to generate this data, investors can focus on more strategic initiatives and make timely investment decisions with confidence.

When we launched Deckmatch, our vision was clear: we wanted to build the best solution to provide venture capitalists with deep insights into potential portfolio companies and their competitive environment, with minimal manual effort. To achieve this, we needed a powerful and flexible database that could handle large amounts of data, support advanced vector-based search, and incorporate artificial intelligence (AI). Given that we have long relied on PostgreSQL's high performance, flexibility, and broad support for critical data operations, Cloud SQL, Google Cloud's managed PostgreSQL database service, was a natural choice.

Funding cloud architecture

At the heart of our cloud architecture is our pgvector-powered Cloud SQL database, integrated with a powerful suite of Google Cloud services. The pgvector extension for PostgreSQL enables us to deliver fast, efficient, and relevant similarity search capabilities that are essential to our platform. We now easily perform complex vector operations that underpin our advanced embedding algorithms for conflict mapping and semantic search, while efficient embedded storage and querying power fast, contextual search capabilities that quickly deliver relevant insights.

To allow customers to directly access the Deckmatch platform through an easy-to-use interface, we built a high-performance REST API with FastAPI. We also host the entire application on Google Kubernetes Engine (GKE), providing a scalable, reliable, and secure platform to deploy our services. Finally, the native integration of Cloud SQL, GKE, and Vertex AI allows us to provide a robust and responsive experience to investors seeking detailed startup information. Vertex AI enables search precision and advanced analytics while reducing resources required over traditional search methods, helping our customers keep up with market complexities.

Cloud SQL gives you big advantages

Our clients have benefited greatly from the capabilities enabled by Cloud SQL. Deckmatch's competitive landscape mapping service allows venture capitalists to quickly get the critical data they need to understand the competitive landscape and strategically position themselves. Additionally, the semantic search capabilities backed by Cloud SQL's pgvector support allow them to granularly search companies by a variety of criteria and get precise, contextual results.

Internally, the biggest benefit is that Cloud SQL, as a fully managed PostgreSQL service, has enabled our small team to focus on developing core application functionality by eliminating operational overhead like backups and updates. Cloud SQL's intuitive interface and seamless integration with other Google Cloud tools makes setup and ongoing management extremely easy, and streamlined provisioning and management tools further enhance the developer experience. Additionally, Cloud SQL scales with our application, allowing us to elastically scale our database resources on demand.

Google Cloud is our future

Our goal is to establish Deckmatch as the go-to resource for comprehensive insights into pre-seed and seed-stage companies. As we continue to hone our application to create the most effective and user-friendly resource on the market, we will continue to leverage the Google Cloud ecosystem.

As our company has grown and continues to grow, Google Cloud's expertise and resources have been invaluable. Participating in the Google for Startups cloud program's AI startup program provided us with significant credits that helped us offset a lot of our initial infrastructure costs. This freed up critical funds to invest more heavily in development to accelerate our growth. From extensive documentation resources to expert technical support to help us optimize our cloud architecture, Google Cloud has been a great addition to our efforts.

We believe that our strong vision, combined with Google Cloud's technical capabilities and support, gives us credibility in the startup ecosystem and positions us for success.

Get started

Ready to unlock the power of a fully managed relational database service that gives you access to generative AI capabilities? Try Cloud SQL, trusted by over 95% of Google's top 100 customers. Leverage this jump start solution to easily get started building generative AI applications with GKE and Cloud SQL.

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