Utilising Cloud SQL for PostgreSQL, Deckmatch is able to provide venture capitalists with valuable insights.
The flow of investment deals for venture capitalists is being revolutionised by Deckmatch through the utilisation of artificial intelligence (AI) and smart analytics. Deckmatch is able to provide investors with full information on startups and their competitors in a short amount of time since it stores extensive and detailed company data in Cloud SQL for PostgreSQL.
When the human labour that is required to generate this data is eliminated, investors are freed up to concentrate on efforts that are more strategic, and they are given the ability to make confident decisions regarding investments in a timely manner.
Prior to the establishment of Deckmatch, google cloud had a crystal clear vision: they wanted to develop a leading solution that provides venture capitalists with profound insights into potential portfolio firms and the competitive contexts in which they operate, while requiring just a little amount of manual labour. In order to accomplish this,they required a database that was not only strong but also versatile, capable of managing massive amounts of data, giving us the ability to implement artificial intelligence (AI), and supporting advanced vector-based search options.
The managed PostgreSQL database option that Google Cloud provides, known as Cloud SQL, was the obvious choice given that they have relied on PostgreSQL for a considerable amount of time for key data operations due to its high performance, flexibility, and extensive support system.
Money is being put on cloud computing architecture
A Cloud SQL database that is equipped with pgvector and interfaces with a robust range of Google Cloud services is the core component of their cloud architecture. With the help of the pgvector extension for PostgreSQL, they are able to provide their platform with the capabilities of doing a similarity search that is quick, effective, and pertinent.
From this point forward, they are able to effortlessly carry out the intricate vector operations that constitute the basis of their sophisticated embedding algorithms for competitive mapping and semantic search. On the other hand, effective embedding storage and querying capabilities are the driving force behind speedy, contextual search capabilities that swiftly reveal relevant insights.
Through the utilisation of FastAPI, they developed a high-performance REST API in order to provide their customers with direct access to the Deckmatch platform through an intuitive user experience. In addition, they host the complete application on Google Kubernetes Engine (GKE), which provides us with a platform that is scalable, dependable, and secure for the deployment of their respective service.
Finally, the natural integration between Cloud SQL, GKE, and Vertex AI enables us to provide investors who are looking for in-depth startup knowledge with an experience that is both robust and responsive. In addition to allowing search accuracy and advanced analytics, Vertex AI helps customers stay up with the intricacies of the market by reducing the resources that are required by traditional search methods during the search process.
Cloud SQL offers a wealth of benefits
Through the utilisation of the possibilities made available by Cloud SQL, google cloud customers have reaped significant benefits. Through the use of Deckmatch‘s competitor landscape mapping service, venture capitalists are able to acquire the essential information they require in a short amount of time in order to comprehend the competitive climate and strategically position themselves. In addition, the semantic search capabilities that are offered by Cloud SQL’s pgvector support make it possible to conduct sophisticated searches for businesses based on a variety of parameters and obtain results that are accurate and aware of the context.
As a fully managed PostgreSQL service, Cloud SQL eliminates operational overhead such as backups and updates, which frees up their small staff to concentrate on building core application features. This is the most significant benefit that Cloud SQL brings to their organisation. In addition to significantly improving the developer experience by providing streamlined provisioning and management tools, Cloud SQL’s user-friendly interface and seamless connection with other Google Cloud products make the process of setting up and managing continuing operations quite uncomplicated. On top of that, Cloud SQL expands in tandem with their application, which enables us to scale database resources in a flexible manner on demand.
In the future, their seed cash will be provided by Google Cloud
Their objective is to make Deckmatch the resource of choice for obtaining thorough information about firms that are in the pre-seed and seed stages of development. While they continue to develop their application, google cloud will continue to rely on the environment that Google Cloud provides in order to make it the most efficient and user-friendly resource available on the market.
Google Cloud’s knowledge and resources have proven to be extremely beneficial to their company as they have expanded and will continue to develop. As a result of their participation in the artificial intelligence startup programme that is comprised of the Google for Startups Cloud Programme, they were awarded substantial credits that enabled us to greatly offset the initial expenditures of their infrastructure.
Because of this, google cloud were able to free up vital cash, which allowed us to make more substantial investments in development and to speed up their growth. Google Cloud has been an invaluable resource for us throughout their journey, providing us with a wealth of documentation resources and experienced technical assistance that has assisted us in optimising their cloud architecture.
Google cloud are confident that their strong vision, in conjunction with the technical capabilities and assistance offered by Google Cloud, has provided us with credibility within the startup ecosystem and given us the foundation for success.
