This mnAi data listing contains a record of all companies that have achieved a 100% growth in cash at bank over the last 12 months, with a minimum of £100K. This provides an indication of the companies that have performed well and have growing assets. The data points included in this file as standard are:
Company Name
Company Number
Company Address
Incorporation Date
Current Status
Additional data points, including, but not limited to:
Financial metrics such as balance sheet variables, profit and loss variables, secured debt data, credit score
Company Director Information such as contact details, Director Age, Director Gender, Director tenure,
Company Value data such as latest investments, shareholder details, valuation changes, capital rounds & values.
For specific requirements, please do not hesitate to contact us to discuss a custom data set.
Use Cases
This dataset is ideal for:
organisations looking to invest in growth-companies
performing due-diligence prior to contract awarding
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing uses a single pricing dimension: Product Access (Units). It is offered free of charge and grants subscribers access to the sample dataset. There are no tiers, instance sizes, or usage-based add-ons to compare. You subscribe once to unlock the sample, which covers UK companies showing a 100%+ growth in cash in bank of at least £100k. The dataset provides structured firmographic and financial information for these entities. Because only one dimension exists, pricing does not scale by volume, term, or capacity.
Top-of-mind questions for buyers
What counts as one unit of Product Access for this sample dataset?
One unit grants a single subscriber access to the sample dataset. Access is not metered by rows, records, or company count. You subscribe once to unlock the sample, which lists UK companies showing 100%+ cash-in-bank growth of at least £100k. There is no per-record or per-query charge.
Does my cost change if I query more companies or pull more data fields?
No. This listing has one free dimension, so cost does not scale with the number of companies, data fields, or queries you run against the sample. There are no included amounts to exceed and no overage charges. Access remains free regardless of how much of the sample you use.
What kind of company information does the sample dataset contain?
The sample provides structured firmographic and financial data for the covered UK companies. This can include company attributes, registered and trading addresses, directors and ownership structures, plus financial indicators such as balance sheet and performance metrics. Data is standardised across entities for consistent comparison.
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mnAi has a unique insight into UK Company data. This listing consists of all companies in London with a 100% 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.
mnAi has a unique insight into UK Company data. This listing consists of all companies in Wales with a 100% 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.
mnAI has a unique insight into UK Company data. This listing consists of all companies in Northern Ireland with a 100% 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.