LaunchLemonade

LaunchLemonade builds AI assistants by describing work in plain English. The platform lets users pick any model, add knowledge, and have an assistant handle meetings, research, content, and reporting. It enables users to use the assistant themselves, share it with a team, embed it on a website, or sell it in a store, with audit trails and access controls built in. The solution emphasizes governance and auditable workflows to support professional services that need data protection and regulatory alignment.

The platform supports non-technical users and teams. It offers a no-code agent builder, a multi-model architecture, and the option to publish assistants to a website or stand and to earn when sold in a store. It provides a single workspace where assistants, chats, and runs are organized, with controls to manage who can read, write, or trigger actions and to review decisions.

Users can attach documents for grounding, use a second opinion model, and share assistants with team members. They can embed assistants on websites, present them as QR codes, and publish in the store. The system is designed to run in private environments and to keep data secure while enabling collaboration and distribution across an organization.

The company emphasizes security, governance, and no-code adoption. It highlights UK hosting, privacy by default, and the ability to audit who did what. The product is built to support professional services such as accounting, advisory, legal, and consulting by aligning workflows with policy-driven controls and responsible AI practices.

Use cases

• Teams collaborate with shared governance and audits
• Publish assistants to websites or stores for distribution