About Stealth Startup

Vair provides time-series forecasting using a unique state-space architecture that enables rapid model retraining in minutes, significantly reducing computational costs. Their models continuously learn from new data, allowing for real-time, tailored forecasts that quickly identify short-term patterns across a wide range of financial and non-financial datasets.

```xml <problem> Traditional time-series forecasting methods often require extensive computational resources and lengthy retraining periods, making them slow to adapt to new data patterns. This can lead to inaccurate predictions, especially in rapidly changing environments. </problem> <solution> Vair offers time-series forecasting solutions leveraging a state-space architecture designed for rapid model retraining. This approach significantly reduces computational costs and enables models to quickly adapt to new data, providing real-time, tailored forecasts. The models continuously learn from new inputs, allowing for the identification of short-term patterns across diverse financial and non-financial datasets. Access to these models is provided through a simple REST API, allowing for easy integration and customization. </solution> <features> - State-space architecture enabling model retraining in minutes - Continuous learning from new data inputs after initial training - Real-time forecasting capabilities - REST API for easy access and integration - Support for a wide range of financial instruments and non-financial time-series data - Identification of short-term patterns </features> <target_audience> The primary target audience includes financial institutions, data scientists, and analysts who require accurate and timely time-series forecasts for decision-making. </target_audience> ```

What does Stealth Startup do?

Where is Stealth Startup located?

Stealth Startup is based in Hong Kong.

When was Stealth Startup founded?

Stealth Startup was founded in 2024.

Who founded Stealth Startup?

Stealth Startup was founded by Sachin Gupta.

Sachin Gupta - Founder/Investor

Location

Hong Kong

Founded

2024

Employees

106 employees

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Stealth Startup

Score: 100/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

v-air.co 5K+

Founded 2024 – Hong Kong

Funding

No funding information available. Click "Fetch funding" to run a targeted funding scan.

Team (100+)

Sachin Gupta

Founder/Investor

Company Description

Problem

Traditional time-series forecasting methods often require extensive computational resources and lengthy retraining periods, making them slow to adapt to new data patterns. This can lead to inaccurate predictions, especially in rapidly changing environments.

Solution

Vair offers time-series forecasting solutions leveraging a state-space architecture designed for rapid model retraining. This approach significantly reduces computational costs and enables models to quickly adapt to new data, providing real-time, tailored forecasts. The models continuously learn from new inputs, allowing for the identification of short-term patterns across diverse financial and non-financial datasets. Access to these models is provided through a simple REST API, allowing for easy integration and customization.

Features

State-space architecture enabling model retraining in minutes

Continuous learning from new data inputs after initial training

Real-time forecasting capabilities

REST API for easy access and integration

Support for a wide range of financial instruments and non-financial time-series data

Identification of short-term patterns

Target Audience

The primary target audience includes financial institutions, data scientists, and analysts who require accurate and timely time-series forecasts for decision-making.