With TrustHouse
The trust and context layer.
TrustHouse is the trust layer. ContextTalk is the context layer. Together they answer the two questions every enterprise AI programme has to answer at once: can I rely on this, and does it understand my business.
Trust
Can I rely on this?
TrustHouse enforces governance on every retrieval. Access is scoped to the question, policies apply by default, and every query is logged for audit.
Context
Does it understand my business?
ContextTalk holds the semantic context layer for your industry, the processes, terms, and relationships your business actually runs on.
A component, not a separate product
Every TrustHouse deployment already includes a context engine at its base. On its own it is general. ContextTalk is that engine with the business-process flavour of your industry added, which is what lets it answer in your language. You do not integrate two products. You turn on the context your business runs on.
What ContextTalk inherits
The trust infrastructure was there first.
Governed access
Every retrieval pulls only the data the question needs. Nothing gets full access to your systems.
Policy enforcement
Data integrity, responsible AI, and risk policies apply to every query by default.
Audit provenance
Every question and answer is logged and traceable, which is what makes lineage possible.
Your environment
It extends the cloud environment you have already vetted and sits alongside your existing identity and data controls.
Where it sits, in one sentence
ContextTalk is the business layer you ask questions of. Underneath it sit your AI systems and agents, then TrustHouse enforcing governance on every retrieval, then the cloud environment and data you already own. Nothing gets replaced.
Why it matters
Plenty of tools generate a confident answer. Very few can show that the answer came from approved data, under policy, with a trail you can audit. ContextTalk can, because the trust infrastructure was there first.
TrustHouse