Experience the magic of our fully deployable query framework without your team having to write any code
Data Solutions
for Enterprise
Generative AI
Seamlessly build and deploy privacy first, production-grade RAG and Generative AI solutions without having to worry about the infrastructure, data pipelines, or coding.
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Our Goal:
Helping Small & Medium sized businesses achieve enterprise level AI intelligence.
Start asking your data questions immediately! Deploy a private, secure RAG framework for your company or team, and allow start querying and asking questions without having to open and read any PDFs, excel documents, images, scanned documents, CRMs, or databases.
With Context Data, you have options:
1). choose to deploy generative AI strategy within our SOC2 compliant infrastructure, in your own fully private server and database, or
2). we can deploy your generative AI strategy within your firewalls, in your own secure environment
Easily connect to all of your data within your company regardless of where the data is. For example, databases, file storage systems, CRMs
Backed and trusted by forward thinking organizations.
Everything you need to get from zero to Generative AI
Use our Sapphire platform to easily connect to and process data from multiple data sources to Generative AI compliant formats
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.
Success Stories
Curacel Insurance
Helping Curacel build a best-in-class policy search platform
BeatPulse
Supercharging BeatPulse's audio search process
Online Furniture Retailer
Enhancing customer support with AIResearch & Insight
Building graph vector search using VectorETL
Building Enterprise AI Platforms from the Ground Up
How we're tackling RAG Accuracy Evaluation
