Data governance, extended to what AI actually does.
Kynexa reads and indexes your data at source: across drives, SharePoint, Confluence, chat, SQL, vector and object stores and builds the metadata foundation that makes AI safe.
The problem you own
Enterprise data is scattered across structured systems and unstructured sprawl: documents, wikis, tickets, chat. AI consumes all of it. Governance built only for tables and columns can't see most of what feeds your copilots and agents, and copying everything into one more platform just creates a new risk and a new cost.
How it works
Kynexa connects to your sources with pre-built connectors and reads them in place. It extracts metadata automatically at the asset and element level: sensitivity, semantic labels, taxonomy, summaries and embeddings and exposes policy-aware discovery and preview. Your data never leaves its source of record.
What you get
Connect across all sources
Cloud drives, NAS, SaaS apps, databases, vector stores and agent memory, with OAuth or API-key auth and Vault-backed credentials.
Metadata Intelligence
Automatic extraction, five-tier sensitivity classification (Public → Regulated), semantic and multi-dimensional labels, taxonomy and custom tagging.
Keep data at source
Kynexa reads and indexes; it does not relocate your data.
Discover and define
Latent relationships, taxonomy, sensitivity, custom tags and version updates, cataloged and searchable with policy-aware discovery.
Outcomes
A single, current, sensitivity-aware view of every asset your AI can reach: structured and unstructured, without a migration project.
A live, sensitivity-aware view of every source.
Representative product UI.
See Kynexa govern your AI — in 30 minutes.
Bring a real use case. We'll set up governed retrieval, reasoning and audit on your stack.