Elitron America Inc

  • Construction Machinery
  • Norcross GA
  • 6 employees
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Company Overview

Headquarters
Viale I Maggio 42, Norcross GA
Website
elitron.com
Employees
6
Industry
Construction Machinery
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Financials & Stats

Revenue

$50B

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Who is Elitron America Inc

It seems like you're trying to extract information from a text and organize it into a structured format. You've provided a snippet of text that looks like it might be a company profile. Let's break down how we can approach this: **1. Understanding the Structure** The text you provided has a somewhat inconsistent structure. It seems to be a mix of: * **Company Name:** "Elitron America Inc" * **Industry:** "Construction" * **Location:** "United States", "GA", "Norcross" * **Employee Count:** "6" * **Revenue:** "$50M" * **Website:** "elitron.com" * **Company Description:** A paragraph about their products and services **2. Tools for Extraction** To extract this information reliably, you'll need some tools: * **Regular Expressions (Regex):** Powerful for finding patterns in text. You can use regex to search for keywords like "Industry:", "Employees:", etc., and then extract the corresponding values. * **Natural Language Processing (NLP) Libraries:** Libraries like spaCy or NLTK can help you analyze the text, identify entities (like company names, locations), and relationships between them. **3. Example using Python and Regex** Here's a basic example using Python and regex to extract some of the information: ```python import re text = """ Elitron America Inc Industry: Construction Country: United States State: GA City: Norcross Employees: 6 Revenue: $50M URL: elitron.com Bio: Elitron manufactures and markets robotic cutting solutions that are widely adopted across several industries. Our systems are utilized in the leather goods, upholstery, and visual communication sectors, to include digital printing, sign and display, packaging, plus gaskets, foams, composites, and other industrial materials. """ company_name = re.search(r"Company Name:\s*(.*)", text).group(1) industry = re.search(r"Industry:\s*(.*)", text).group(1) # ... extract other information similarly print(f"Company Name: {company_name}") print(f"Industry: {industry}") ``` **Important Notes:** * **Regex Limitations:** Regex can be powerful but can become complex for intricate text structures. * **NLP for Complex Cases:** For more sophisticated text analysis, NLP libraries are generally more suitable. * **Data Cleaning:** Real-world data is often messy. You'll likely need to clean and preprocess the text before extracting information. Let me know if you have a specific piece of text you'd like to work with, and I can provide more tailored guidance!

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FAQ

What is the location of Elitron America Inc's headquarters?
The headquarters of Elitron America Inc are situated at Viale I Maggio 42, Norcross GA
What is Elitron America Inc's official website?
The official website of Elitron America Inc can be found at elitron.com.
What is Elitron America Inc's current revenue?
As of August 2023, Elitron America Inc's annual revenue reached $50B.
How many employees does Elitron America Inc currently have?
Elitron America Inc employs approximately 6+ people as of August 2023
Which industries is Elitron America Inc primarily operating in?
Elitron America Inc operates in the following industries: Construction

Employee Directory

Key Employees

Daniele Gallucci

President

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Luigino Sardellini

Software Project Manager

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Jason Squires

Senior Field Service Technician

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Valeria Perrotta

Export Sales Manager

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Paolo Malatesta

Executive Director

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Marita Minicis

Buyer

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Valentina Santis

Software Engineer

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Claudia Marcantoni

Events & Marketing Specialist

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