AI-Native Development
Utilising AI to generate production-ready code for digital products, focusing on efficiency and speed.
LaunchPad Lab is a digital product development company that employs an AI-native delivery model named Nova. This approach utilises AI to generate production code, while human teams provide oversight and quality control. They focus on delivering custom web, mobile, and Salesforce applications, as well as AI automation and agentic AI solutions, often with an outcome-based pricing structure.
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“Their approach combines AI-driven code generation with human expertise to deliver custom digital products, aiming for faster results and predictable costs.”
LaunchPad Lab specialises in developing custom digital products, including web applications, mobile applications, and Salesforce solutions. Their core methodology is the Nova delivery model, which leverages AI to generate production-ready code. This process is complemented by senior human teams who are responsible for alignment, judgment, and ensuring the quality of the final product. The company aims to provide faster development cycles and predictable costs through this AI-accelerated approach.
They differentiate themselves by offering outcome-based pricing, rather than hourly billing, aligning incentives with delivered features and improvements. LaunchPad Lab builds solutions designed to integrate with existing tech stacks, automate workflows, and address specific business challenges that generic software cannot. They emphasise long-term partnerships, noting that a high percentage of clients continue working with them beyond the first year.
Utilising AI to generate production-ready code for digital products, focusing on efficiency and speed.
Developing bespoke web apps, portals, and internal tools that integrate with existing technology stacks.
Creating native and cross-platform mobile experiences that are integrated with backend systems.
Extending and customising Salesforce, Experience Cloud, and Agentforce to enhance CRM investments.
Deploying intelligent agents to automate workflows, reduce manual effort, and extend system capabilities.
Billing clients based on delivered outcomes such as features and improvements, rather than hours worked.