Flattening brushstrokes into rows obscured complex forgeries. Now, historians use an AI agent to expose fakes via plain language.
The $57.5 billion global art market faces a 1,740 percent surge in AI-driven fraud, while human forgery detection accuracy hovers at just 55 to 60 percent.
Traditional relational databases flatten rich visual data into rows, requiring tens of thousands of complex join operations to analyze a single...
“We realized there were relationships we were not expecting—like colors that would not be used in a specific city in a specific year because the trading company did not import enough. You see currents shaping around the data.”
Visual intelligence platform for authenticating and classifying unstructured images.
Graph database and analytics platform for enterprise data relationships.
Related implementations across industries and use cases
Processing test batches dragged for 30 hours. Vertex AI now runs the pipeline 23x faster, querying billions of nature images in seconds.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Agents manually checked data across scattered systems. AI now scans unstructured evidence in seconds, boosting fraud detection 6x.
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Flattening brushstrokes into rows obscured complex forgeries. Now, historians use an AI agent to expose fakes via plain language.
The $57.5 billion global art market faces a 1,740 percent surge in AI-driven fraud, while human forgery detection accuracy hovers at just 55 to 60 percent.
Traditional relational databases flatten rich visual data into rows, requiring tens of thousands of complex join operations to analyze a single...
“We realized there were relationships we were not expecting—like colors that would not be used in a specific city in a specific year because the trading company did not import enough. You see currents shaping around the data.”
Visual intelligence platform for authenticating and classifying unstructured images.
Graph database and analytics platform for enterprise data relationships.
Related implementations across industries and use cases
Processing test batches dragged for 30 hours. Vertex AI now runs the pipeline 23x faster, querying billions of nature images in seconds.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Agents manually checked data across scattered systems. AI now scans unstructured evidence in seconds, boosting fraud detection 6x.
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.