Build an MVP

Build an MVP

Build an MVP

Our AI Minimum Viable Products (MVPs) rapidly validate your most promising ideas, focusing on the core functionalities that matter most to your business.

Validate Product-Market Fit

An AI MVP allows you to test your product vision's core hypotheses and get real user feedback on your AI solution's value proposition early on. This validation of product-market fit avoids wasted effort on an AI product no one wants.

Scope and budget for a full-scale production build

Scope and budget for a full-scale production build

Reduce Overall Risk

Start small, focusing on the most critical aspects of the solution. This approach helps you avoid the significant upfront costs associated with a comprehensive AI project.

Faster Time-to-Market

By focusing on an MVP's essential features, you can launch and start generating ROI far quicker than traditional sequential development. Releasing an early prototype cuts months or years off your time-to-market.

Commercials

Commercials

Validate your idea / £POA

Validate your idea / £POA

Develop your idea / 3-6 months

Develop your idea / 3-6 months

London based team

London based team

Specialist team working full time

Specialist team working full time

10% back of the MVP cost on the production ready build

10% back of the MVP cost on the production ready build

1 Project Manager focused on project delivery

1 Project Manager focused on project delivery

Partnering with Mercury Labs

Guided by a relentless commitment to simplifying your business journey through intuitive and effective Notion templates.

Results Orientation

Our team is focused on maximising real-world business impact, not just technical elegance.

Deep AI expertise

Our multidisciplinary team has the AI experience.

Full Technology Stack

Our full-stack engineering capabilities cover everything from data infrastructure to front-end UX.

Project Perspective

We can provide an objective perspective on the project.

Cost Effective

It can be more cost-effective, especially if you don’t have an in-house AI team.

Focus on Ethics

We prioritise fairness, interpretability, and transparency to ensure your AI is socially responsible.

Case Studies

hvm-catapult
Project Insights

Developed a proprietary natural language processing model to analyse strategic skills gaps across manufacturing domains.

Achieved over 80-100% accuracy in mapping existing job roles to future occupational profiles, compared to the previous 40% accuracy.

Built a custom survey engine, analysing huge volumes of responses to generate data-driven capabilities database.

Identified many new potential hybrid roles, optimised for major infrastructure projects.

Business Insights

Massively reduced time required to define new job roles, enabling more agile skills development.

Matched workers to precise blend of capabilities needed for specific projects, improving hiring efficiency.

Completed successful a PoC and MVP leading to a full production build in the works.

Established a scalable platform to continuously realign skills with changing industry demands.

Empowered employees by identifying targeted training for new responsibilities.

hvm-catapult
hvm-catapult

Contact us

Office

25 Eccleston Place
SW1W 9NF
London
United Kingdom

Partnering with Mercury Labs

Guided by a relentless commitment to simplifying your business journey through intuitive and effective Notion templates.

Results Orientation

Our team is focused on maximising real-world business impact, not just technical elegance.

Deep AI expertise

Our multidisciplinary team has the AI

Full Technology Stack

Our full-stack engineering capabilities cover everything from data infrastructure to front-end UX.

Project Perspective

We can provide an objective perspective on the project.

Cost Effective

It can be more cost-effective, especially if you don’t have an in-house AI team.

Focus on Ethics

We prioritise fairness, interpretability, and transparency to ensure your AI is socially responsible.

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Case Studies

hvm-catapult
hvm-catapult
Project Insights

Developed a proprietary natural language processing model to analyse strategic skills gaps across manufacturing domains.

Achieved over 80-100% accuracy in mapping existing job roles to future occupational profiles, compared to the previous 40% accuracy.

Built a custom survey engine, analysing huge volumes of responses to generate data-driven capabilities database.

Identified many new potential hybrid roles, optimised for major infrastructure projects.

Business Insights

Massively reduced time required to define new job roles, enabling more agile skills development.

Matched workers to precise blend of capabilities needed for specific projects, improving hiring efficiency.

Completed successful a PoC and MVP leading to a full production build in the works.

Established a scalable platform to continuously realign skills with changing industry demands.

Empowered employees by identifying targeted training for new responsibilities.

Partnering with Mercury Labs

Guided by a relentless commitment to simplifying your business journey through intuitive and effective Notion templates.

Results Orientation

Our team is focused on maximising real-world business impact, not just technical elegance.

Deep AI expertise

Our multidisciplinary team has the AI

Full Technology Stack

Our full-stack engineering capabilities cover everything from data infrastructure to front-end UX.

Project Perspective

We can provide an objective perspective on the project.

Cost Effective

It can be more cost-effective, especially if you don’t have an in-house AI team.

Focus on Ethics

We prioritise fairness, interpretability, and transparency to ensure your AI is socially responsible.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

// Get all conversions with id,

// filtered by page and country.


await analytics.events

.find({

where: {

page: "/pricing"',

country: "NL",

}

})

.conversions({

where: {

id: 231

}

})