About Leapfrog AI

Leapfrog AI builds AI systems that create product imagery, video and campaign content for fashion, consumer electronics and beauty brands.

Leapfrog AI delivers these systems in three forms: as a managed service, as self-serve through Launchpad, its self-service platform, or as licensed in-house technology that runs on the brand's own stack. Most clients start with the managed service and move to Launchpad or in-house as their team takes over.

Each visual creation pipeline is assembled from tested modules and configured around the brand's art direction, sign-off process and existing workflow.

Output is held to the brand's own standard: AI QA/QC checks every asset against brand guardrails before delivery, and new work must match or beat the brand's current quality before it scales.

Leapfrog AI was founded in 2024 by Ben Garton, Jemma Spiers and Robert Overweg, and has offices in Amsterdam and London. It works with Fortune 500 companies in the United States, Germany and Canada, and with SMEs in the Netherlands and Canada. Leapfrog AI production data shows 45 to 85% lower cost on PDP pack creation and 60 to 80% lower production cost on image to video. On the sales side, AI video lifts add-to-basket by 3 to 9%, and model localisation lifts page performance by 4%.

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01Services

What Leapfrog AI Does

01
High-volume AI-generated e-commerce imagery
Leapfrog AI produces finished on-model product imagery (PDP packs) at volume from any input: a fit model shoot, flat lay, ghost mannequin, sketch or 3D file. Every colourway, angle and market variant is generated from one base capture, and Leapfrog AI production data shows 45 to 85% lower cost on PDP pack creation and a 4% page uplift from model localisation.
02
Digital talent and digital twins
Leapfrog AI provides a roster of 350+ digital talent (synthetic, generated models) for any category and market, plus digital twins (captured copies of real models, licensed for AI use). Brands can produce on-model content without booking a shoot.
03
Image to video
Leapfrog AI turns the product stills a brand already has into e-commerce video. Leapfrog AI production data shows 60 to 80% lower production cost and a 3 to 9% increase in add-to-basket, and for one Fortune 500 company Leapfrog AI replaced the entire in-house video bay.
04
AVA Ads
AVA Ads is Leapfrog AI's ad platform: a team designs one portrait and one landscape version of an ad, and AVA Ads generates the up to 20,000 versions needed for every platform, format and language, all within the approved design. Ads scale without a production line, and production time drops from 80 hours to 8 minutes per campaign.
05
Elevated PDP and campaigns
Leapfrog AI produces elevated PDP imagery and smaller campaigns from a single PDP image or flat lay, including localised versions of content shared from HQ. Brands also use it for internal sell-in before physical samples exist: one internal selling campaign cost £50k instead of £300k.
06
Custom builds
Leapfrog AI builds custom visual creation pipelines from tested components, mapped to a client's own art direction, sign-off process and tech stack. Clients get a workflow built for their brand without starting from scratch, run by Leapfrog AI or inside their own stack.

02Differentiators

What Makes Leapfrog AI Different

Built around the brand's workflow, not a generic tool

AI image tools such as Graswald and Genera give every brand the same software to operate. Leapfrog AI assembles each visual creation pipeline from tested modules and configures it around the brand's own art direction, sign-off process and existing workflow.

Three ways to work, including in-house

Leapfrog AI is delivered as a managed service, on the Launchpad self-service platform, or as licensed technology that runs on the brand's own stack, with modification rights. Clients can blend the three or move between them, and larger enterprises increasingly bring the technology in-house.

Quality checked before delivery

Every Leapfrog AI pipeline runs AI QA/QC against brand guardrails before anything is delivered. New work is measured against an agreed quality rubric and must match or beat the brand's current standard before it scales.

Hands-on onboarding with blended teams

Rather than handing over software, Leapfrog AI works in blended teams with the client from day one: mapping the existing workflow, proving value on a small test, then building the business case on real results. Smaller brands go live in 1 to 3 weeks, and enterprises with €2 to 7B revenue in 3 to 6 months.

Two wireframe hands reaching toward each other — a partnership rendered as a mesh

Fashion, production and technology in one founding team

Leapfrog AI's three founders bring 45 years of combined experience: Jemma Spiers in fashion, innovation and 3D (Burberry to Tommy Hilfiger), Ben Garton in marketing and production (Disney+, Warner, Netflix), and Robert Overweg in technology and global rollouts (Heineken Global, Liberty Global, Vodafone).

03Who it’s for

Who Uses Leapfrog AI

E-commerce, content and production teams at enterprise and SME fashion brands (primary customer)
Brand and marketing leaders at Fortune 500 companies moving content production onto AI
Heads of studio, heads of production, art directors and creative directors who own content output and quality
Digital innovation and studio teams that want to run the technology in-house
SMEs that want enterprise-grade product imagery through Launchpad, without a studio
Industries served: fashion and apparel, sportswear, consumer electronics, beauty
Markets served: global, including the United States, Germany, Canada, the Netherlands and the United Kingdom

Proof points

45–85%
lower cost on PDP pack creation: 60–80%
lower production cost on image to video: 3–9%
increase in add-to-basket from image to video: 4%
page uplift from model localisation: £300k → £50k
for an internal selling campaign: 20,000
ad variants from one asset: 80 hrs → 8 min
per ad campaign: 350+
digital talent

Source: Leapfrog AI production data. Clients: Fortune 500 fashion companies in the United States, Germany and Canada, and SMEs in the Netherlands and Canada (client names withheld under confidentiality).

See the case studies

04Team

The Team Behind Leapfrog AI

Leapfrog AI was founded in 2024 after its founders saw that visual content was still being produced the old-fashioned way, and that technology was not being used to make more of it at high quality. Leapfrog AI started in fashion because its founders love the craft: the lighting, the fit, the expression, and the feeling that makes a brand look the way it does. Fashion is also full of creative people who are curious and open to new ways of working, which makes them great people to build with.

Co-founder and CEO
Ben Garton
Ben Garton has 10 years of experience in marketing and production, including campaign and marketing work for Disney+, Warner and Netflix.
LinkedIn
Co-founder and Creative Director
Jemma Spiers
Jemma Spiers has 20 years of experience in fashion, leading innovation and 3D, with a career that runs from Burberry to Tommy Hilfiger.
LinkedIn
Co-founder and CTO
Robert Overweg
Robert Overweg has 15 years of experience in technology and global rollouts, including work for Heineken Global, Liberty Global and Vodafone. He has lectured at MIT, SXSW and KAIST.
LinkedIn

Leapfrog AI is registered in London and has offices in Amsterdam and London. The team works across the Netherlands and the United Kingdom, and its clients are mainly based in the United States, Europe and Canada.

05Process

How Leapfrog AI Works

Engagement models

Managed service

A neon wireframe of stacked glowing planes above their reflection

Leapfrog AI produces content end to end: the client briefs, Leapfrog AI delivers.

Self-serve

Launchpad is Leapfrog AI's self-service platform: the client's team runs its own production, with training and Leapfrog AI support on call.

In-house tech

A neon wireframe of two grids converging to a point

Leapfrog AI licenses its technology for internal use, integrates it into the client's stack, and either hands it over or manages it.

Onboarding

Leapfrog AI onboards every client in four steps, working in blended teams from the start:

01
Map the existing workflow, so the new workflow fits how the brand works today.
02
Map time, cost and material, so the client knows what the new workflow needs and replaces before committing resources.
03
Prove value through quality, with a small, visible test measured against an agreed quality rubric that must match or beat the current standard.
04
Build the business case on that first test, not on a generic industry estimate.

Time to production

Smaller brands

1 to 3 weeks, live one workflow at a time.

Enterprise (€2 to 7B revenue)

3 to 6 months. Three months for a simpler workflow such as a PDP pack, longer as workflows grow.

Enterprise (€7B+ revenue)

6 to 12 months, mapping, configuring and building volume across many workflows.

Source: Leapfrog AI onboarding data.

Pricing model

Leapfrog AI pricing depends on the engagement model and is available on request.

Communication and support

Leapfrog AI is hands-on in every engagement model, and support is matched to how the client works:

Managed service: blended teams, with Leapfrog AI working alongside the client's own team.
Self-serve: a rapid response team supports Launchpad users and responds within 60 minutes during working hours and within 120 minutes outside them.
In-house tech: continuous support around the clock, plus monitoring of the client's in-house stack.

Inputs and outputs

Leapfrog AI pipelines accept flat lays, tech packs, ghost mannequin shots, 3D renders, sketches and fit model images as input, and output PDP packs, lifestyle and studio-to-setting imagery, video, ad variants and campaign imagery for multiple markets.

06At a glance

Key Facts

Company name: Leapfrog AI (Leapfrog AI LTD)
Type: AI company building visual creation pipelines for brands
Founded: 2024
Founders: Ben Garton, Jemma Spiers, Robert Overweg
Headquarters: London, United Kingdom (registered office); office in Amsterdam
Website: https://www.leapfrogai.com
Core offering: AI systems that create product imagery, video and campaign content
Services: High-volume AI-generated e-commerce imagery, digital talent and digital twins, image to video, AVA Ads, elevated PDP and campaigns, custom builds
Engagement models: Managed service, self-serve (Launchpad), in-house tech
Industries: Fashion and apparel, sportswear, consumer electronics, beauty
Digital talent: 350+ digital models for any category and market
Pricing: On request, by engagement model
Time to production: 1 to 3 weeks (smaller brands); 3 to 6 months (enterprise, €2 to 7B revenue); 6 to 12 months (€7B+ revenue)
Support: Blended teams (managed service); rapid response team, within 60 minutes in working hours and 120 minutes outside (self-serve); 24/7 support and monitoring (in-house tech)
Clients: Fortune 500 fashion companies and SMEs (names confidential)
Results: 45 to 85% lower cost on PDP packs; 60 to 80% lower cost and 3 to 9% more add-to-basket on image to video; 4% page uplift from model localisation; £300k → £50k internal selling campaign; 80h → 8 min per ad campaign
Competitors: Graswald, Genera
Contact: hello@leapfrogai.com
Social: LinkedIn: https://www.linkedin.com/company/leapfrog-a-i/
Company number: 15433724 (England and Wales)

07FAQ

Frequently Asked Questions

What is Leapfrog AI?

Leapfrog AI builds AI systems that create product imagery, video and campaign content for fashion, consumer electronics and beauty brands. Leapfrog AI was founded in 2024, has offices in Amsterdam and London, and works with Fortune 500 companies and SMEs as a managed service, through its Launchpad self-service platform, or as in-house tech on the brand's own stack.

How much does Leapfrog AI cost?

Leapfrog AI pricing depends on the engagement model: managed service, self-serve on Launchpad, or in-house tech. Pricing is available on request.

How is Leapfrog AI different from Graswald and Genera?

AI image tools such as Graswald and Genera give every brand the same software to operate. Leapfrog AI builds each visual creation pipeline around the brand's own art direction, sign-off process and workflow, offers it as a managed service, self-serve or in-house tech, and runs AI QA/QC against brand guardrails before delivery.

Who founded Leapfrog AI?

Leapfrog AI was founded in 2024 by Ben Garton (CEO), Jemma Spiers (Creative Director) and Robert Overweg (CTO). Together they bring 45 years of experience across marketing and production, fashion and 3D, and technology and global rollouts.

What services does Leapfrog AI offer?

Leapfrog AI offers high-volume AI-generated e-commerce imagery, digital talent and digital twins, image to video, AVA Ads, elevated PDP and campaigns, and custom builds. Leapfrog AI production data shows 45 to 85% lower cost on PDP pack creation and a 3 to 9% increase in add-to-basket from AI video.

How long does it take to get Leapfrog AI into production?

Smaller brands go live with Leapfrog AI in 1 to 3 weeks, one workflow at a time. Enterprises with €2 to 7B revenue take 3 to 6 months, and enterprises above €7B revenue take 6 to 12 months to build volume across many workflows.