Boost.space - Specialized AI agents for real business roles
Turn company data into governed agent context.
Give people and agents one current place to work with the company information their roles need. Scope every role to the relevant records and fields instead of exposing the whole business.
Security proof
Current certification scope and evidence are linked directly from every badge.
Current scope and evidence are available in the Trust Center. Deployment-specific controls are confirmed during scoping.
Context makes agents useful. Governance makes it reusable.
One agent can research prices, another can update products and a third can find marketplace opportunities. They build on the same approved company context instead of keeping separate copies.
The same foundation can hold catalogs, contacts, documents and other structured business data that people and agents need to share.
Agent OS pillar
Data Layer
01
Let people and agents work from the same source.
Bring approved records together and preserve the relationships that give them meaning. What one role learns can become useful context for the next.
02
Give each role the view its job needs.
Keep pricing, personal details or internal notes outside an agent’s view unless the assignment requires them. Confirm write boundaries and recovery requirements before the agent changes source systems.
03
Prepare data before agents depend on it.
Standardize records, resolve duplicates and fill important gaps before the information becomes operational context. Use relations, lookups, files and semantic search when the job needs more than a flat table.
Governed data flow
Prompt the work. Agents use the governed Data Layer.
Your request stays simple while agents handle company and product data through scoped operations with visible change accountability.
Data Layer
- Scoped access
- Shared context
- Change accountability
Your first deployment
Build the context your first agent can trust.
Start with one role and one governed data scope. We confirm supported controls and recovery options before launch.
Discuss your data use case