Build an AI MVP
Our AI Minimum Viable Products (MVPs) rapidly validate your most promising ideas, focusing on the core functionalities that matter most to your business.
What you come away with
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.
Reduce Overall Risk
MVPs enable fail-fast, learn-fast iterations to refine your AI based on empirical data. You can adapt and pivot as needed before committing major resources. MVPs significantly derisk expensive full-scale development.
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.
Scope and budget for a full-scale production build
Receive an accurate estimate of the resources required to develop and implement the production ready AI system. This includes not only compute resources but also time and personnel.
Commercials
£POA
to validate your idea
3-6 Months
development time
London
based team
Specialist Team
working full-time
10% back
of the MVP cost on the production ready build
1 Project Manager
focused on delivery
What are the benefits of partnering with Mercury Labs
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.
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.
Project Perspective
We can provide an objective perspective on the project.
Case Study
Develop a proof of concept to evaluate whether an AI system can be used to improve verification qualify of manual human covid test verification.
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.
