Industry·
Kuken Industries Finds 70‑Year‑Old Cooling Tower Drawings in Minutes
Kuken Industries used the OpenAI API to locate specific cooling‑tower schematics from a 70‑year archive, cutting search time from nearly an hour to 4.5 minutes.

Kuken Industries, a Dubai‑based engineering firm, faced the challenge of locating precise cooling‑tower schematics that spanned seven decades of project history.
By integrating the OpenAI API, engineers can query the extensive drawing archive in natural language and retrieve the exact document within 4.5 minutes, a dramatic reduction from the previous hour‑long manual search.
The solution leverages high‑throughput GPU inference to generate embeddings and perform semantic search, illustrating how AI models can accelerate data‑intensive tasks in industrial environments.
Why it matters for GPU / AI infrastructure
This use case demonstrates the scalability of GPU‑accelerated AI services: large language models process massive document corpora with low latency, offering a clear economic advantage for deploying AI on dedicated GPU clouds for mission‑critical engineering workflows.
- aigpu
- ai gpu
- ai gpu cloud
- aigpu dubai
- cloud
- ai
- hardware
- industry
By AiGpu Editorial · Editorial rewrite based on public reporting (OpenAI Blog)
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