About Quanted

Quanted Technologies utilizes a proprietary machine learning system to identify and recommend specific data sets that enhance the precision of financial predictive models in under 30 minutes. This approach significantly reduces data testing and validation time by 99.3%, allowing quants to focus on research and alpha generation.

```xml <problem> Financial quants face a significant bottleneck in identifying and validating relevant datasets to improve the accuracy of their predictive models. The process of testing and validating data is time-consuming, often taking weeks, which reduces the time available for research and alpha generation. This delay hinders the ability to discover new alpha opportunities and build systems to capture them. </problem> <solution> Quanted Technologies offers a machine learning system designed to accelerate the data discovery and validation process for financial predictive models. The system identifies specific datasets that enhance the precision of these models in under 30 minutes. By significantly reducing data testing and validation time, quants can focus on research and alpha generation. The platform provides custom implementation protocols to streamline the integration of new data, saving time replicating results. </solution> <features> - Proprietary machine learning system to identify relevant datasets. - Reduces data testing and validation time by providing custom implementation protocols. - On-site deployment to ensure data never leaves the user's servers. - Secure loading and de-anonymization at the user's discretion. - Comprehensive data reporting to uncover data to enrich models. - Explainable custom AI for compliance. - Data purchase recommendations to buy direct from vendors. </features> <target_audience> The primary customers are quantitative analysts (quants) and portfolio managers in the financial industry who seek to improve the performance of their predictive models by efficiently identifying and integrating relevant datasets. </target_audience> ```

What does Quanted do?

Where is Quanted located?

Quanted is based in London, United Kingdom.

When was Quanted founded?

Quanted was founded in 2023.

How much funding has Quanted raised?

Quanted has raised 50000.

Location

London, United Kingdom

Founded

2023

Funding

50000

Employees

8 employees

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Quanted

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Executive Summary

quanted.com 1K+

Founded 2023 – London, United Kingdom

Funding

Estimated Funding

Team (5+)

No team information available.

Company Description

Problem

Financial quants face a significant bottleneck in identifying and validating relevant datasets to improve the accuracy of their predictive models. The process of testing and validating data is time-consuming, often taking weeks, which reduces the time available for research and alpha generation. This delay hinders the ability to discover new alpha opportunities and build systems to capture them.

Solution

Quanted Technologies offers a machine learning system designed to accelerate the data discovery and validation process for financial predictive models. The system identifies specific datasets that enhance the precision of these models in under 30 minutes. By significantly reducing data testing and validation time, quants can focus on research and alpha generation. The platform provides custom implementation protocols to streamline the integration of new data, saving time replicating results.

Features

Proprietary machine learning system to identify relevant datasets.

Reduces data testing and validation time by providing custom implementation protocols.

On-site deployment to ensure data never leaves the user's servers.

Secure loading and de-anonymization at the user's discretion.

Comprehensive data reporting to uncover data to enrich models.

Explainable custom AI for compliance.

Data purchase recommendations to buy direct from vendors.

Target Audience

The primary customers are quantitative analysts (quants) and portfolio managers in the financial industry who seek to improve the performance of their predictive models by efficiently identifying and integrating relevant datasets.