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How SwiftERM CEO David Swift grew SwiftERM to $330K revenue with a 3 person team in 2025.

Hyper-personalising product selection for ecommerce email marketing success This is a wholly autonomous solution that does not require any human input at any time - the ROI is effectively the products sold GP. Our passion is helping ecommerce retailers realise the value of each of their consumers, as individuals. The mechanism we offer is an AI hyper-personalisation software solution, gathering data via a plugin, and capturing each customer’s interactions as they happen on your ecommerce website. Data captured includes purchase history, products viewed, length of time on page, frequency of visits and other significant impressions. From this it calculates what each registered consumer is most likely to buy next. It then populates an email stylesheet with the most relevant products for that person, which is sent at the moment of greatest buying propensity. Send time optimisation is applied, so you don’t need to wait for customers to come back to your site. Thereby giving you a significant advantage over your peers. The principal benefit is a massive increase in revenue that many don’t otherwise appreciate exists. This is applied machine learning technology, perpetually refining the selection for ever greater accuracy. This only ever applies to consumers who have given their express permission. This is a wholly autonomous solution – meaning zero human involvement whatsoever – it does everything for you. Each selection array reflects that consumer as an individual, aware of their ever-changing needs. It uses AI to deliver one of, if not the highest ROI’s in ecommerce marketing. SwiftERM offers you immediate use of its entire AI hyper-personalisation technology program, by simply registering, downloading and installing the plugin. You could begin enjoying significant revenue growth today. Enjoy our FREE 30-day viability trial today – no lock-in required, validate its effect for yourself.

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SwiftERM Revenue

In 2025, SwiftERM's revenue reached $330K. Since its launch in 2014, SwiftERM has shown consistent revenue growth.

SwiftERM Revenue GrowthReported revenue / ARR by year$0$75K$150K$225K$300K$375K2014201620182020202220242025$0$330KSource: GetLatka.com
YearMilestone
2025SwiftERM Hit $330k revenue in July 2025
2014Launched with $0 revenue

SwiftERM Valuation, Funding Rounds

SwiftERM's most recent disclosed valuation is $990K.

SwiftERM is a bootstrapped AI & Machine Learning Operationalization (MLOps) Software startup. Founded in 2014, SwiftERM has grown to $330K in revenue without raising any venture capital or outside funding.

As a self-funded AI & Machine Learning Operationalization (MLOps) Software SaaS company, SwiftERM has built its business with no outside investment.

SwiftERM Capital Raised & ValuationCumulative capital raised and post-money valuation by roundCapital raised (cum.)Valuation$0$120142014 cumulative: $0 • 2014 Founded: $02014 Founded: $0 valuationSource: GetLatka.com
YearRoundAmountValuation% Sold

SwiftERM Employees & Team Size

SwiftERM employs approximately 3 people as of 2026.

SwiftERM has 3 total employees in different roles and functions.

SwiftERM Team GrowthReported headcount over time01223420142016201820202022202420250033Source: GetLatka.com
YearMilestone
2025Reached 3 employees (July 2025)

Founder / CEO

David Swift

David Swift is listed as Founder / CEO at SwiftERM.

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Customers

We do not have customer count information for SwiftERM yet.

Frequently Asked Questions about SwiftERM

What is SwiftERM's revenue?

SwiftERM generates $330K in revenue.

Who is the CEO of SwiftERM?

The CEO of SwiftERM is David Swift.

How much funding does SwiftERM have?

SwiftERM raised $0.

How many employees does SwiftERM have?

SwiftERM has 3 employees.

Where is SwiftERM headquarters?

SwiftERM is headquartered in London, England, United Kingdom.

Compare SwiftERM to the industry

Source Attribution

Source: all data was collected from GetLatka company research and founder interviews. Revenue, funding, team, and customer figures are presented as company-reported or GetLatka-estimated metrics where the profile data identifies them that way.

Company data last updated .