AI case study

PredoriPatent research

Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.

Published

Key results

Cost Reduction
10x

Result highlights

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The story

Context

A patent intelligence platform providing strategic insights on M&A and portfolio analysis for diverse industries, including the automotive sector.

Challenge

The team initially built semantic search capabilities on a Lucene-based AWS service that required keeping all data in RAM to function. This setup was...

Solution
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Quotes

The company

AI-powered patent intelligence and monitoring platform for IP and R&D teams.

IndustryProfessional Services
LocationHamburg, Germany
Employees1-10
Founded2021

The vendor

Weaviate logo

Weaviate

weaviate.io

Open-source vector database for building AI applications and search experiences.

IndustrySoftware & Platforms
LocationAmsterdam, Netherlands
Employees51-250
Founded2019

Use case

Predori's Patent research is part of this use case:

Legal Research
76 case studies(+104% YoY)
Proven impact?
LowModerateVery Strong
3.3Moderate
3.1Moderatewithin Professional Services

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