Decodable + Vellum: Bringing Real-Time Context to AI

Building enterprise AI requires more than just access to large language models (LLMs). To generate accurate, context-aware responses, AI needs access to fresh, real-time data while maintaining security and compliance. Today, we’re excited to announce how Decodable and Vellum are enabling enterprises like Drata to build secure, high-performance AI systems powered by real-time data streaming.

The Overlooked Challenge: AI is Only as Good as Its Data

While enterprises rush to build AI applications, they often overlook a critical factor—data quality—limiting their ability to provide accurate, timely, and compliant responses. 

Without real-time data and context, AI systems struggle with the following:

• Delayed insights, like a chatbot recommending out-of-stock products.
• Compliance risks, like failing to delete data when users opt out of AI processing in real-time.
• Operational complexity, like maintaining costly, fragile pipelines to keep AI updated.

To build truly intelligent, adaptive AI, businesses must rethink how they deliver data. That’s where Decodable and Vellum come in.

Decodable + Vellum: Deliver Agentic AI, Faster

With Decodable’s real-time streaming infrastructure and Vellum's collaborative platform for building production-grade AI solutions, enterprises can roll out agentic AI faster than ever. By enabling AI to dynamically retrieve, process, and generate insights in milliseconds, Decodable and Vellum help teams go from concept to production at speed—without compromising intelligence or security.

Decodable: Real-Time Data Streaming for AI

Decodable seamlessly integrates with data sources to ingest, continuously build the context, and deliver to vector databases, ensuring AI systems operate on the freshest possible data. Powered by Change Data Capture (CDC) and Apache Flink, Decodable delivers:

• Real-time Pipelines - Ensure that vector databases receive continuous data updates from production pipelines, ensuring more correct or useful results in real-time.
• Contextual Relevance - Connect disparate inputs, providing AI with deep, rich, fresh context to improve decisions, responses, and actions.
• Scalability and Flexibility - Integrate data sources, sinks and formats through a rich data connector library. Decodable also simplifies processing high-volume data sources like clickstream or transactional data to create reliable, production data pipelines at scale. 

Vellum: From Early-Stage to Production-Ready AI

Vellum enables rapid prototyping, testing, and deployment of reliable AI solutions. With Vellum's purpose built GUI and SDK, enterprises can:

• Validate retrieval strategies before indexing data into vector stores.
• Monitor and govern AI outputs to ensure compliance and security.
• Iterate on AI features faster, optimizing performance for real-time use cases.

Real-World Impact: How Drata Built an Agentic AI System in 60 Days

Drata, a leader in automated security and compliance, used Decodable and Vellum to build a secure, high-throughput Retrieval-Augmented Generation (RAG) system capable of processing millions of events per day across thousands of isolated vector databases.

With Decodable, Drata enabled real-time contextual retrieval, ensuring AI models generated accurate and relevant responses at all times. Using Vellum, they rapidly experimented, validated, and optimized AI-powered features—going from prototype to production in just 60 days.

Join our upcoming webinar to learn how Drata built their real-time AI system with Decodable and Vellum. 

What’s Next?

Decodable and Vellum are redefining real-time AI workflows for enterprises. If your organization is looking to enhance AI decision-making, integrate real-time data, and scale securely, we’d love to show you how. Learn more about Decodable | Learn more about Vellum