Most Enterprises are not prime for AI
Many organizations lack the necessary IT infrastructure and technical expertise to effectively integrate AI applications with their data systems
Source: ProserveIT / Microsoft
42% of enterprises need access to eight or more data sources to deploy AI agents successfully
Source: Tray AI
50% of data engineers say governance is one of their biggest hurdles
Source: Databricks
Security concerns are the top challenge for both leadership (53%) and practitioners (62%), when deploying AI applications and agents
Source: BigDataWire
Helping enterprises build the Data Fabric for their RAG Applications
Empowering your AI Teams to build mission critical applications
RAG Applications
Quickly build and integrate multiple internal data sources and vector databases in order to provide accurate, context-rich responses for RAG Applications.
Agentic AI
Simplify the process of building and managing complex, autonomous workflows that can interact with various data sources and execute multi-steps tasks.
Real Time Data Processing
For real-time data processing, Context Data provides a high-performance platform that ingests and processes data streams with minimal latency.
Building the Data Infrastructure for your Gen AI Applications
Build Gen AI apps without managing Vector DBs, Pipelines & 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.
Seamless Vector Data Processing
Easily connect to every major vector database and process large scale data accurately without having to write code or setup any infrastructure.
Semantic Transformations
Build semantic transformations for internal company or team logic by combining, joining or aggregating across multiple platforms using SQL.
Unlocking Potential for High Value Companies
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.
Healthcare
Real Estate
Shipping & Supply Chain
A.I READY DATA PLATFORM IN 10 MINUTES
Plug-and-Play data infrastructure built specifically for Generative AI
Connect & Extract
Retrieve important data form a host of major data sources and retrieve important data from a host of major data sources.
Transform Data
Create fully contextualized data by combining and joining data across multiple data sources to create a full picture of your data.
Generate Vector Embeddings
Convert your data to vector embeddings with the most popular models in just a few clicks with only your API keys.
Vector DB Load
Load your final data to any of the major vector database providers that we support without having to write any code
Built with Security as a Priority
SOC 2
Context Data is SOC 2 Type I compliant and working towards Type II compliance. All customer data is encrypted in transit and at rest and we make sure to adhere to strictest data privacy industry standards
Self Hosted Option
For enterprise clients who are looking for additional levels of data privacy and protection, we offer a self-hosted version of our SaaS platform. Please reach out to our team to learn more about this option.
Low code enterprise data platform for transformation, embedding and vector database load.
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