Boost.space

Boost.space builds specialized AI agents for real business roles. It starts with Bob, a Product Catalog Agent, designed to improve revenue from a catalog by applying data, rules, and workflows. The platform describes how agents are trained for specific business tasks, then deployed to work with a team to chase revenue goals and report outcomes. The approach emphasizes long-term revenue growth and ongoing operation beyond a single interaction.

Bob is presented as an agent that operates on a shared data layer, combining catalog data with external information. The system emphasizes a process: analyze the catalog, agree the plan, get to work, and report results within four weeks. The presentation frames Bob as an evolving asset that can persist with ongoing work rather than a one-off advice tool, and it highlights a path toward building an agent-driven company on Boost.space.

The main capabilities are centered on catalog revenue and data operations. The catalog agent connects product data, market signals and existing systems to identify opportunities, propose next steps, and execute approved actions across multiple areas. The platform notes access is scoped to the assignment, with a focus on data-driven improvements and measurable outcomes.

It mentions a one-time agent launch price, an included first month of an Agent OS, and ongoing operation priced separately. It also references a governance framework inside Agent OS with data layers, action layers, security controls, and AI data wallets to manage how agents work with company data and approved connections.

Use cases

• Improve catalog data quality and leverage it for revenue opportunities across channels.