Product Innovations

Crystal Ball Gazing: Why I’m Betting on MCP

By Daniel Jaye | Jun 16, 2025

The diversity of MCP implementations - from enterprise giants like Spring AI MCP to creative innovators like Figma MCP - reflects the protocol's versatility. As AI adoption skyrock...

Read More

The MadTech MCP Stack: Building Industry-Specific AI Standards

By Daniel Jaye | Jun 13, 2025

Imagine browsing a marketplace where you can discover, evaluate, and deploy marketing AI components like app store applications. A/B test different attribution models. Swap persona...

Read More

From Prototype to Production: Simulating AI Solutions with AI

By Daniel Jaye | Jun 12, 2025

How do you test complex, interconnected AI systems before they go live? I've been experimenting with something that initially sounded absurd but has become indispensable: using AI ...

Read More

The Architecture Revolution: Building Chainable AI Systems

By Daniel Jaye | Jun 11, 2025

I had a realization last month: I was spending more time thinking about orchestration than implementation. That's when it struck me - we're experiencing the same architectural tran...

Read More

Sampling, Elicitation, and Completions: The New Vocabulary of AI Orchestration

By Daniel Jaye | Jun 10, 2025

The organizations that master these new approaches via a new vocabulary - sampling, elicitation and completions - will architect the systems that define the next generation of AI-p...

Read More

MCP as the Open API Standard for the AI Era

By Daniel Jaye | Jun 9, 2025

I've been thinking a lot about Model Context Protocol (MCP) for months now, and I keep returning to one thought: MCP is to generative AI what Open API and Swagger were to the moder...

Read More

Benchmarks: How Aqfer Revolutionizes Enterprise Data Processing

By Daniel Jaye | Apr 4, 2025

Data processing isn't just a technical concern - it's a strategic business advantage. When your competition is paying 5-34x more to process the same amount of data and waiting hour...

Read More

Aqfer’s Innovative Approach to Serverless Vector Databases

By Daniel Jaye | Dec 3, 2024

Aqfer has developed a cutting-edge approach to serverless vector databases that is optimizing how marketers harness their data

Read More

Transforming Data Utilization in AI with Retrieval Augmented Generation (RAG)

By Ross Williams | Nov 21, 2024

Retrieval Augmented Generation (RAG) enhances large language models by combining language generation capabilities and real-time information retrieval.

Read More

Revolutionizing Data Storage: A New Approach to Row and Columnar Architecture

By Daniel Jaye | Sep 25, 2024

Learn about Aqfer's Row-Comunar Model for data storage. This hybrid approach enables efficient compression of data to cut costs, while still allowing for lightning-fast data retri...

Read More