Saolix SaoHub. Governed AI agents for the enterprise.
The Agentic AI Solutions Suite: build agents, run them, govern every one, inside your own environment. Five modules: Agent Manager, Agent Factory, Agent Governance Studio, Agent Marketplace and Athena ZTO.
The simulator and diagrams use fictional data. Raia, the first agent, already works inside Saolix Eagle.
Designed so that every agent is registered, every action is governed, and every decision is owned by a rule or a person.
AI agents can gather information, use tools and propose the next step on their own. As organisations add more of them, the hard question stops being whether an agent can act and becomes who authorised it. SaoHub answers that in one place: agents are registered and permissioned, their actions pass through approved rules and people, and every step is recorded so it can be audited later.
Agents advise. Rules and people decide.
SaoHub is designed on the same principle as every Saolix product: an agent can propose and explain, but only approved rules and people authorise a consequential action.
Five modules.
- Agent ManagerRun the agentsRegister, permission and monitor every agent in the organisation, whether it came from the Marketplace or was built in the Factory.
- Agent FactoryBuild your ownWhere your developers build agents for your own jobs, on local models and your own systems, and release them through the same governance as every other agent.
- Agent Governance StudioPolicies, approvals, auditThe governance layer over every agent: the policies it works under, who approves what, the sealed audit of every action, and the switch that turns it off.
- Agent MarketplaceAgents for specific jobsGoverned agents built for specific jobs, ready to run under your policies. At launch the Marketplace holds agents built by Saolix; partner-built agents come later, through the same governance.
- Athena ZTOZero-Touch OperationsUses all of these agent tools to turn your runbooks, procedures and incident records into operational documents, quality-scored and signed.Athena ZTO →
Private by design: SaoHub runs inside your environment on locally hosted models, including Sōli models when they are released, with no data sent to an external AI service.
The agents, and where they stand.
SaoHub agents carry names in the -aia family. Raia is the first, and it already works inside Saolix Eagle.
Raia
Suggests a label for each screening alert, so analysts know where to look first, on AI hosted inside your environment. The rules always win, and Raia can never close an alert.
More agents to come
Further Saolix-built agents join the Marketplace as they are proven; partner-built agents follow, through the same governance. Each one is registered, permissioned and audited like Raia.
What no SaoHub agent can do.
Decide
Verdicts, holds and responses come from versioned rules or approved policy, and from people. An agent's output is advisory.
Override a real hit
Where an agent's suggestion conflicts with the rules, the rules win, and the case goes to a person.
Become essential
Switching an agent off removes the help, not the correctness. Every decision still comes out the same.
Designed for your infrastructure.
SaoHub is designed to follow the same deployment model as Eagle: inside your environment, under your control.
System overview. Dashed boxes are planned or outside services.
Explore the design. Inspect it.
The simulator shows how SaoHub works, with fictional data, and its governance pattern already runs in Saolix Eagle.
SaoHub Simulator
Add an agent from the marketplace, see what it may never do, let it propose, decide as two different people, switch it off and read the record.
Open the simulator ↗ Working todayRaia in the Eagle Simulator
See an AI label an alert and the rules decide, in Eagle's interactive simulator.
Open the simulator ↗ BriefingDesign walkthrough
How SaoHub would govern the agents you plan to use, and where the determinism boundary sits.
Request a briefing →Further reading.
Your next chapter.
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