Your team already uses BI tools, cloud platforms, identity providers, ticketing systems, and LLMs. xAQUA augments that stack — it doesn't replace it. Bring what you have. Plug it in. Keep working.
Government, defense, healthcare, and regulated finance customers need frontier AI without sending a single token outside their tenant. xAQUA runs the same six agents on locally-hosted, fine-tuned, or fully air-gapped models — with full feature parity.
The xAQUA LLM Gateway is the single abstraction between every agent and every model provider. Routing, prompt management, and security controls live in one place — so models become commodities and switching providers is a config change, not a rewrite.
Every capability in xAQUA — semantic resolution, federated query, document chat, model routing — is exposed through a versioned REST API and first-class SDKs.
from xaqua import Client client = Client(workspace="production") # Ask a question in plain English. SemantIQ resolves entities, # ConverseSQL generates dialect-aware SQL, federation runs it. result = client.ask( "Top 10 customers by revenue this quarter, " "excluding terminated accounts" ) for row in result.rows: print(row.customer_name, row.revenue) # Or write SQL against the semantic layer directly df = client.sql("SELECT * FROM customers WHERE tier = 'enterprise'").df()
import { xaqua } from '@xaqua/sdk'; const client = xaqua({ workspace: 'production' }); // Stream tokens from a multi-step agent run const stream = await client.agents.run({ agent: 'analyst', prompt: 'Why did churn spike in EMEA last week?', stream: true, }); for await (const chunk of stream) { process.stdout.write(chunk.delta); } // Search across federated documents (DocIQ) const hits = await client.docs.search({ query: '2024 audit findings on access controls', });
xAQUA is built to augment, not replace. Tell us what you have. We'll show you exactly where xAQUA fits in.