XOresearch

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Overview

$25,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2015

Year Founded

ABOUT XORESEARCH

Artificial Intelligence technology povider

XOresearch specializes in integrating deep learning technology into practical applications for natural language processing and the healthcare sector. Their AI lab serves as a research division that provides outsourcing services while also creating technologies for the company's offerings.

Tech Stack

C#JavaJavaScriptPHPSQL

Languages Spoken

EnglishSpanish

HIGHLIGHTS

$25,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2015

Year Founded

Services

Focus

Industries

Clients

Services Provided

100% Machine Learning Model Development

About the Team

OUR STORY

XOresearch is dedicated to advancing healthcare through innovative AI technology, focusing primarily on cardiac health. Their flagship product, CardioAI, utilizes artificial intelligence to automatically annotate and interpret electrocardiograms from any legally marketed source, streamlining cardiac monitoring with a seamless integration into electronic health records (EHR). Currently undergoing certification with TUS SUD, this software impressively analyzes a 24-hour ECG in approximately 30 seconds, significantly accelerating diagnosis compared to traditional methods. By enabling efficient monitoring of patients with heart conditions, XOresearch equips physicians and caregivers with valuable tools to manage chronic illnesses and lessen unnecessary hospital admissions. Committed to AI excellence and deep learning expertise, XOresearch operates from Latvia and Ukraine, fostering collaboration and continuously enhancing solutions to shape the future of healthcare.

Portfolio

Speech Recognition platform

Unknown

Our speech-to-text solution offers high-quality language processing that is independent of accent and channel type. It features technologies for speaker identification and voice activity detection, and is resilient to moderate background noise. The end-to-end pipeline for training—from audio to text—has achieved several key design objectives, including a language-agnostic framework, a low word error rate, noise resistance, independence from telephone or broadcast sources, and universal accent modeling. We’ve tested the platform for English language modeling, and results can be experienced on a demo platform. The automatic use of modern GPUs enables efficient processing of large speech volumes, making the solution suitable for tight budgets and heavy speech tasks. Additionally, the platform incorporates an automatic speaker identification feature that segments the audio stream into segments with different speakers, allowing for differentiation among speakers, recognition of known individuals, or as a secondary method for validating identities in another service. Another feature we've developed is a configurable voice activity detector, capable of distinguishing between speech, music, noise, and other types of data within the voice stream, which can also be trained as an independent solution.

OCR

Unknown

This image-to-text recognition engine is designed to universally handle various types of input text, including handwriting. It utilizes deep learning to achieve high accuracy and fast processing speeds. The platform has been tailored for several business automation applications.

Projects & Clients

Project Size & Rate

Minimum Project Size

$25,000+

Average Hourly Rate

$50 - $99/hr

Pricing Snapshot

Min Project Size

$25,000+

Avg Hourly Rate

$50 - $99/hr

Cost Rating

N/A

What Clients Have Said

"XOresearch delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

PROJECT BUDGETS

No budget data yet. Reviewers either haven't shared a project budget or kept theirs confidential.

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Machine Learning Model Development

Locations

Headquarters

3, Republikas square, office 307

Riga, Latvia 1010

Headquarters

5b, Dilova street, office 306 02000

Kyiv, Ukraine 02000

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