Context Data
Data & intelligence infrastructure for Generative AI applications
Founded
2023
Starting Price
$99
Category
Developer Tools
Last updated March 4, 2026
About Context Data
Context Data is a low-code enterprise data platform that automates the deployment of data pipelines and ETL infrastructure for Generative AI applications. It enables companies to connect to internal and external data sources, run SQL-based transformations, generate vector embeddings, and load data into managed vector databases — reducing deployment time from weeks to under 10 minutes. The platform is SOC 2 Type I and II compliant and supports flexible deployment including on-premises and private cloud environments.
Pros & Cons
Pros
- Dramatically reduces data pipeline deployment time — from weeks to under 10 minutes
- SOC 2 Type I and II certified with flexible deployment options including on-premises
- Low-code interface makes it accessible to non-engineering teams without sacrificing power
- Managed Pinecone-backed vector databases eliminate juggling multiple vendor relationships
- Covers the full GenAI data pipeline from ingestion to embedding to vector storage in a single platform
Key Features
Low-Code Data Pipeline Builder
Connect to internal and external data systems and build end-to-end data pipelines without writing ETL code, reducing deployment from weeks to under 10 minutes.
Multi-Source Data Connectors
Native integrations to databases, file storage systems, and external CRMs, enabling unified data ingestion from across the enterprise.
SQL Transformation Models
Create complex data transformation logic using SQL to join data from multiple sources before writing to a target database or vector store.
Managed Vector Databases
Provision and manage vector databases and indexes backed by Pinecone in a matter of minutes, without managing the underlying infrastructure.
Automated Embedding Generation
Automatically generate vector embeddings from your structured and unstructured data sources as part of the pipeline workflow.
Data Lineage & Ontology Mapping
Automatically generate data ontologies that map all source data, embedding models, vector databases, and their connections for full lineage visibility.
Pricing
Starter
$99/month
- Low-code data pipeline builder
- Connect to databases, file storage, and CRMs
- SQL transformation models
- Managed vector database (Pinecone-backed)
- Free trial included
Best For
RAG Application Data Infrastructure
Teams building RAG chatbots or search tools use Context Data to automate the data ingestion, transformation, and vector embedding pipeline without custom engineering.
Enterprise AI Chatbot Deployment
Businesses wanting an internal ChatGPT-like assistant over their own documents and CRMs can deploy a private AI chatbot using Context Data's platform.
SMB GenAI Enablement
Small and mid-size businesses without dedicated data engineering teams use the low-code interface to build production-grade AI data pipelines.
Data Warehouse Vectorization
Enterprises with existing data warehouses use Context Data to apply SQL transformations to produce vector-ready datasets for AI and search applications.
