How Stack AI Delivers Lighting-Fast Agentic AI for Enterprises
Summary
Stack AI chose Weaviate as the vector database to power their enterprise AI orchestration platform. This resulted in significant cost savings, enhanced customer retention, and the ability to serve security-conscious customers through flexible deployment capabilities.
The Challenge
In the rapidly evolving AI landscape, Stack AI faces intense pressure to integrate new features and capabilities at unprecedented speed. Their enterprise customers require quick access to the latest AI models, embeddings, external applications, and advanced querying capabilities. The challenge lies in delivering these features rapidly while maintaining performance and reliability.
"Business is moving at the speed of light. If you don't add features as soon as possible, competitors will add them," explains Antoni Rosinol,
CEO and Co-founder of Stack AI.
As the Stack AI team evaluated which datastore they would use, several key requirements came up. They wanted a reliable and fully-featured vector database, not a solution that had vector search bolted on like MongoDB or Postgres with pgvector.
This also meant that they required top-tier performance and accuracy in vector search while maintaining reasonable costs for their growing company. Finally, they needed to be able to support large organizations that had strict legal and compliance requirements, so the ability to deploy in a secure environment was a must.
Why Weaviate?
After evaluating several vector database solutions including Pinecone, ChromaDB, and Qdrant, Stack AI chose Weaviate for its comprehensive feature set, strong technical foundation, and partnership-oriented support team. Here are some of the key reasons Stack AI went with Weaviate:
- Reliability and feature robustness, including hybrid search and metadata querying.
- Purpose-built architecture, leveraging Weaviate’s unique solution to multi-tenancy.
- High-speed performance and accuracy in vector search.
- Cost-effective pricing structure that grows with the company.
- Flexible deployment capabilities for security and compliance.
- Ease of use with thoughtfully designed developer experience.
- Responsive support team helping Stack AI to quickly implement new features.
What's Next?
As Stack AI continues to grow, the team relies on Weaviate's continuous innovation and support to help them stay competitive in their field. The partnership has proven essential for maintaining their rapid development pace while ensuring reliable service for their enterprise customers.
Results
Enhanced Customer Retention
Weaviate's robust support team and rapid feature development helped Stack AI maintain their customer base by quickly addressing technical challenges and implementing new capabilities.
Significant Cost Savings
Compared to alternative solutions like Pinecone, Stack AI achieved substantial cost savings in the tens of thousands of dollars while accessing a more robust feature set and maintaining high performance.
Unlocking Enterprise-readiness
Weaviate's flexible deployment options with their Enterprise Cloud offering allowed Stack AI to meet strict security and compliance requirements, enabling them to support enterprise customers in highly regulated industries.
Stack AI is a platform for building and managing enterprise AI agents. With its visual interface and robust security features, enterprise organizations have everything they need to create, deploy, and manage AI agents. Stack AI supports use cases from operations to finance to healthcare. Founded in December 2022 by MIT graduates Antoni Rosinol and Bernando Aceituno, the company has quickly grown from a Y Combinator project to a Series A funded startup with over 100 enterprise customers.
"The biggest benefit of using Weaviate isn't just the technology – it's the team behind it. The level of support we receive through their engineering team and support channels has been company-saving help.”
Antoni Rosinol
Co-founder of Stack AI