Building the Data Infrastructure
for your Gen AI Applications

Build Gen AI apps without managing Vector DBs, Pipelines & Infrastructure

Backed and trusted by forward thinking organizations:

Helping AI teams build Data Processing, Transformation, Scheduling, Querying
infrastructure so they can focus on AI Logic

No infrastructure to set up

Transform data across multiple sources

Connect to multiple models in a few clicks

Load data to every major vector database

Query your private vector data

Schedule pipelines for up-to-date data

Introducing Vector ETL
Our Open Source & No Code ETL Framework for Vector Databases

Try it Out

Seamless Vector Data Processing

Easily connect to EVERY major vector database and process large scale data accurately without having to write code or set up any infrastructure.

Data Catalog Ontology

Automatically generate data catalog graphs which maps all of your source data, transformations, vector data and all associated lineages without any additional configurations.

Semantic Transformations

Build semantic transformations for internal company/team logic by combining, joining or aggregating across multiple platforms using SQL.

Unlocking Potential for High Value Companies

01. Financial Services: Context Data empowers financial institutions to streamline their AI-driven processes. For example, a bank could use the platform to quickly integrate customer data, transaction history, and market trends to power a personalized investment advice chatbot. By reducing the time spent on data infrastructure from weeks to minutes, Context Data allows financial firms to rapidly deploy AI models for fraud detection, risk assessment, and algorithmic trading, staying ahead in a highly competitive market.
02. Healthcare: Healthcare providers use Context Data to efficiently manage vast amounts of patient data across multiple systems. By leveraging the platform’s ability to integrate and analyze diverse data sets, medical professionals can gain deeper insights into patient histories and treatment outcomes. This facilitates personalized treatment plans and predictive health analytics, ultimately improving patient care quality and operational efficiency in hospitals and clinics.
03. Real Estate: Real estate agencies and property management firms can utilize Context Data to aggregate and analyze data from various sources, including market trends, property listings, and client databases. This integration allows for more accurate market analysis and property valuation. Additionally, by automating routine data processes, real estate professionals can focus more on client engagement and strategic decision-making, thus increasing productivity and efficiency in managing properties and closing deals.
04. Shipping & Supply Chain: Context Data streamlines operations for supply chain companies by providing advanced analytics for inventory management and logistical operations. Companies can integrate data from various points in the supply chain to monitor and predict inventory levels, optimize delivery routes, and manage supplier relationships more effectively. This leads to reduced costs due to better inventory control, minimized delays, and enhanced customer satisfaction through timely deliveries.