Patent search crashed at 40M records. A serverless migration scaled capacity to 600M+ vectors with zero outages and ~$75k savings.
A patent analytics firm automates the high-stakes process of prior art discovery, searching hundreds of millions of global patents and academic papers to determine the strength of multi-million dollar lawsuits.
A self-hosted Milvus cluster became unstable and crashed repeatedly when scaling beyond 40 million records, failing to meet the strict recall...
“Our KPI for Pinecone is straightforward: how little time we spend thinking about it. Since we started, we haven’t had a single reliability issue, and that’s exactly what we need as a small team focused on building the product—not maintaining infrastructure.”
AI-powered prior art search and patent automation platform.
Managed vector database for AI search, retrieval, and recommendation systems.
Related implementations across industries and use cases
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
Attorneys lost 80% of their time sifting through files. AI now scans millions of documents to surface critical evidence in seconds.
Legacy databases bottlenecked real-time knowledge for field techs. Serverless vector search cut AI response times from 24 to 14 seconds.
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
Attorneys lost 80% of their time sifting through files. AI now scans millions of documents to surface critical evidence in seconds.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors manually traced transactions across uneditable PDFs. Now, intelligent extraction maps source data directly into Excel.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Patent search crashed at 40M records. A serverless migration scaled capacity to 600M+ vectors with zero outages and ~$75k savings.
A patent analytics firm automates the high-stakes process of prior art discovery, searching hundreds of millions of global patents and academic papers to determine the strength of multi-million dollar lawsuits.
A self-hosted Milvus cluster became unstable and crashed repeatedly when scaling beyond 40 million records, failing to meet the strict recall...
“Our KPI for Pinecone is straightforward: how little time we spend thinking about it. Since we started, we haven’t had a single reliability issue, and that’s exactly what we need as a small team focused on building the product—not maintaining infrastructure.”
AI-powered prior art search and patent automation platform.
Managed vector database for AI search, retrieval, and recommendation systems.
Related implementations across industries and use cases
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
Attorneys lost 80% of their time sifting through files. AI now scans millions of documents to surface critical evidence in seconds.
Legacy databases bottlenecked real-time knowledge for field techs. Serverless vector search cut AI response times from 24 to 14 seconds.
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
Attorneys lost 80% of their time sifting through files. AI now scans millions of documents to surface critical evidence in seconds.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors manually traced transactions across uneditable PDFs. Now, intelligent extraction maps source data directly into Excel.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.