Marketplace For Buyers For Vendors For Partners

GRO05A12 - Companies in Northern Ireland with a 50% growth - (Sample)

mnAi has a unique insight into UK Company data. This listing consists of all companies in Northern Ireland with a 50% growth in cash in bank (min. £100k). This data can be used to analyse the UK Company register or integrate into other products seamlessly through the AWS Data exchange. This data comprises of a number of core fields that can expanded on upon request from our data set of more than 350 variables. Company data has never been more accessible.

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

## This mnAi data set, extracted from our multi award-winning platform, contains a sample record of UK Companies with a 50% growth in cash in bank (min. £100k). The sample file is an example of mnAi data and is not designed for use but demonstrates the structure and content of the data in the commercially available data sets. For the full data set please do not hesitate to contact us.

Description | Value

----|-----

Update Frequency | Six Monthly

Data Source(s) | mnAi Data

Geographic coverage | UK

Time period coverage | N/A

Key Fields | UK Company Data including = COMPANY NO. / COMPANY NAME / REGISTERED ADDRESS / INCORPORATION DATE / COMPANY ADDRESS / STATUS / COMPANY GROWTH

Key Words | UK company data, data sets, company insight, company name, employee number, incorporation, gender, company gender, company data, company growth

Number of companies covered | 8 million +

---

## Key Data Points

Examples of key data points include:

Name | Description

----|-----

Location | The registered address for the company

Company Number | The registered company number

Company Name | The registered company name

Company Status | Current company status - e.g. active or dissolved

Company Incorporation Date | Date of company incorporation

---

## Pricing Information

* For the full data set or custom data requests, please contact sales@mnai.tech or by phone on 020 3151 6624 to discuss your requirements. 

---

## Subscription Verification Request Information

* To verify your identity before sending out any data, we will need you to provide your company email address and company phone number.

---

## Need Help?

* If you have questions about our products, contact us using the support information below.

Method | Details

----|----

Email | sales@mnai.tech

Telephone | 020 3151 6624

* Calls* will be answered at the following times:

Monday to Friday, 09:00am – 17:00pm

*We may record calls for quality and training purposes.

---

## Refund Policy:

* There are no refunds available for this product.

---

## About mnAi

mnAi is a multi-award winning data, insight and analytics platform that provides information on all unlisted companies in the UK. It is the UK’s largest and most comprehensive source of data - a single, unified source that holds 10bn+ data points on 8m+ UK companies.

We apply a wide variety of machine learning algorithms and filters so users can access targeted, customised information and insight across industries, sectors and geographies far more rapidly than is currently possible. What has previously taken weeks of manual research can be converted into easily accessible visual data within minutes. It makes everything from deal origination to due diligence and customer search quick and easy.

Related Products

Sedai for ECS: Autonomous Optimization & Remediation

Sedai for ECS is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to reduce costs by 40%, improve performance by 35%, reduce FCIs by 50% and improve ops productivity 6x

AI based Intelligent Document Processing

Our product is an advanced artificial intelligence solution designed to streamline document processing workflows for businesses of all sizes. Leveraging cutting-edge machine learning algorithms, it automates the extraction, analysis, and interpretation of valuable information from a variety of documents, including invoices, contracts, forms, and more. With this powerful tool, businesses can significantly reduce manual effort, minimize errors, and accelerate decision-making processes.

Automated SAS to Pyspark Conversion

SAS workloads come with high costs, scalability challenges, and limited flexibility. Hexaware’s Amaze® accelerates SAS-to-PySpark migration using Gen AI and LLM-powered automation, ensuring a 70-80% conversion accuracy, 3x-5x faster execution, and up to 40% cost savings.

Vectra Cognito for Service Delivery Partners (Billed Monthly)

Vectra Threat Detection and Response for Partner Provided Consulting Engagements

Real-time & Historical Datafeeds | Global Post-War Contemporary Auctions

This dataset is prepared for statistical factor pricing models and standardized across variables including country, region, currency, vendor, artist for seamless data filtering. It contains 20+ years of all items in the Post-War & Contemporary art category sold on auction by Christie’s, Sotheby’s, Bonhams and Phillips from 2000 to date.

Philter

Philter deidentifies and redacts sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), in text.

Tuberculosis - Total number of cases in the US | CDC

Centers for Disease Control and Prevention provides free and open access to various health related data. This release contains total number of Tuberculosis cases reported in the United States, by region and by states, in accordance with the current method of displaying WONDER data. Data on United States will exclude counts from US territories. The data is available for past 2 years.

AWS Security Review

An AWS Security Review is an opportunity to ensure that your cloud infrastructure is optimized for performance, security, reliability, and cost-effectiveness. Our certified AWS architects will identify any potential issues or areas for improvement in your AWS environment and make recommendations to get your back on track.