Map the work
We identify the repetitive decisions, documents, tools, and handoffs that create drag.
PRIVATE AI AGENT SYSTEMS
Sploogle AI builds and runs private, always-on agent systems for businesses and teams that need automation without handing their work to someone else's chatbot cloud.
WHAT WE BUILD
Sploogle AI is a product line, not a single demo. Solo agents handle focused work, Mission Control coordinates teams of agents, and bespoke deployments solve serious private-infrastructure problems.
One private AI agent deployed around your business, documents, tools, and routines.
Learn more →Layer 2A coordination dashboard for multi-agent teams: status, task handoffs, blockers, shared chat, and evidence.
Learn more →Layer 3Custom private AI systems for serious workflows, regulated environments, and government-adjacent buyers.
Learn more →HOW IT WORKS
We identify the repetitive decisions, documents, tools, and handoffs that create drag.
Solo agent, agent team, or Mission Control workflow — the architecture follows the job.
Agents run in a dedicated environment with your knowledge, integrations, and approval paths.
We track evidence, tune workflows, and keep the system useful after the demo ends.
PERSISTENT MEMORY
Cloud AI usually remembers the chat window. Sploogle agents are designed around durable, inspectable business context: your preferences, SOPs, clients, workflows, tools, and recurring decisions.
FLAGSHIP LAYER
Multi-agent work gets messy fast: ownership, blockers, memory, approvals, and proof all need a home. Mission Control is that operating layer.
Client intake
Agent routing
Research handoff
Tool integration
Evidence attached
Rollback export
WHY SPLOOGLE
Not chatbot SaaS. Agents live in a dedicated environment around your work.
Not model lock-in. We choose the model and tools that fit the job.
Not a notebook handoff. We run the infrastructure and keep improving the system.
Not blind autonomy. Human approvals, evidence, and rollback paths stay visible.
EARLY INTAKE
Share the work you would want a private agent system to handle. We will use that to decide whether Solo, Mission Control, or a custom deployment is the right starting point.