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Cluster Vector

Use Cases

Provide specialized compute clusters for the finance industry to test complex trading models against massive amounts of historical data quickly and efficiently.

Process large, raw datasets to extract and create valuable, structured features for use in AI and machine learning models.

We offer the parallel processing power required for large-scale scientific and financial computations, such as simulations or complex risk modeling.

Our Expertise

Using a proprietary engine on Kubernetes, we can rapidly build and destroy massive, multi-terabyte clusters, ensuring clients only pay for active compute time.

We are experts in optimizing data processing jobs using frameworks like Apache Spark, Dask, and Ray to maximize efficiency and reduce runtime and cost.

Our system can deploy resources on major clouds (AWS, GCP, Azure) or physical servers, allowing them to choose the optimal hardware for any given task.

Would you like to be a part of our team? Don't hesitate to reach out and introduce yourself. Together, we can achieve great things.

Don't be shy. Say hello.你好もしもし.hola.

fintelligentia@gmail.com

Email

fintelligentia@gmail.com​

Address

Rosario, Argentina

Our Open Positions