Qbitum

About Qbitum

Qbitum offers an AI-augmented real-time data platform that utilizes machine vision and deep learning for quality inspections in manufacturing. By automating tedious manual inspection processes, the platform enhances accuracy and efficiency while providing predictive maintenance and operational insights.

```xml <problem> Many manufacturing industries rely on manual quality inspections, which are often tedious, strenuous, and prone to human error. These manual processes can lead to inconsistencies in quality control, reduced efficiency, and increased operational costs. </problem> <solution> Qbitum offers an AI-augmented real-time data platform designed to automate and enhance quality inspections in manufacturing environments. The platform utilizes machine vision and deep learning to analyze image and video streams, identifying defects and anomalies with greater accuracy and speed than manual methods. By providing real-time insights and predictive maintenance capabilities, Qbitum helps manufacturers improve production quality, optimize operational efficiency, and reduce the burden on human inspectors. The platform's collaborative AI bots complement human work by providing anomaly detection, predictive maintenance, operational observability, production pattern recognition, and real-time recommendations. </solution> <features> - Real-time image and video stream processing for quality inspection - AI-powered anomaly detection and defect identification - Predictive maintenance capabilities based on machine learning models - Operational observability tools for monitoring production KPIs - Customizable alerts and escalations for critical issues - Integration with existing manufacturing systems and data sources - User-friendly interface for data-driven decision-making - Explainable AI (XAI) to provide insights into the reasoning behind AI-driven decisions </features> <target_audience> The primary target audience includes manufacturers across various industries seeking to improve quality control, reduce operational costs, and enhance overall production efficiency through AI-powered automation. </target_audience> ```

What does Qbitum do?

Qbitum offers an AI-augmented real-time data platform that utilizes machine vision and deep learning for quality inspections in manufacturing. By automating tedious manual inspection processes, the platform enhances accuracy and efficiency while providing predictive maintenance and operational insights.

When was Qbitum founded?

Qbitum was founded in 2022.

How much funding has Qbitum raised?

Qbitum has raised 100000.

Founded
2022
Funding
100000
Employees
31 employees
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Qbitum

Score: 90/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Qbitum offers an AI-augmented real-time data platform that utilizes machine vision and deep learning for quality inspections in manufacturing. By automating tedious manual inspection processes, the platform enhances accuracy and efficiency while providing predictive maintenance and operational insights.

Funding

$

Estimated Funding

$100K+

Team (30+)

Vijitha Abeywardena

CTO, Product Innovator

Shadeeka Dharmabandu

CTO

Company Description

Problem

Many manufacturing industries rely on manual quality inspections, which are often tedious, strenuous, and prone to human error. These manual processes can lead to inconsistencies in quality control, reduced efficiency, and increased operational costs.

Solution

Qbitum offers an AI-augmented real-time data platform designed to automate and enhance quality inspections in manufacturing environments. The platform utilizes machine vision and deep learning to analyze image and video streams, identifying defects and anomalies with greater accuracy and speed than manual methods. By providing real-time insights and predictive maintenance capabilities, Qbitum helps manufacturers improve production quality, optimize operational efficiency, and reduce the burden on human inspectors. The platform's collaborative AI bots complement human work by providing anomaly detection, predictive maintenance, operational observability, production pattern recognition, and real-time recommendations.

Features

Real-time image and video stream processing for quality inspection

AI-powered anomaly detection and defect identification

Predictive maintenance capabilities based on machine learning models

Operational observability tools for monitoring production KPIs

Customizable alerts and escalations for critical issues

Integration with existing manufacturing systems and data sources

User-friendly interface for data-driven decision-making

Explainable AI (XAI) to provide insights into the reasoning behind AI-driven decisions

Target Audience

The primary target audience includes manufacturers across various industries seeking to improve quality control, reduce operational costs, and enhance overall production efficiency through AI-powered automation.

Qbitum - Funding: $100K+ | StartupSeeker