Deployed into your Azure subscription. Owned by your team.
QueryNow Search isn't another SaaS product you rent. We build and deploy enterprise AI search directly into your Azure environment, then hand you the keys.
Our deployment methodology
Discovery & Scoping
Assess data sources, permissions, enterprise systems, search requirements. Map connectors needed.
Infrastructure Deployment
Deploy Azure resources via Bicep templates: Azure AI Search, Azure Functions, Azure OpenAI, Azure SQL, Static Web Apps, Logic Apps, Key Vault, Storage. Under 30 minutes deployment. Configure Entra ID with minimum-privilege auth.
Connector Development
Build and configure MCP connectors for each enterprise system. Index content. Configure security trimming. Set up crawl schedules.
AI Layer Configuration
Fine-tune search relevance, configure vector embeddings, set up intent detection for action-oriented agents, configure task completion workflows.
Validation & Testing
Full search accuracy testing, security trimming validation, agent workflow testing, performance benchmarking.
Training & Handoff
Train IT team and power users. Provide full architecture documentation. Complete handover.
What lives where
Your Azure Subscription
Your Enterprise Systems
QueryNow (External) License validation (optional), support & updates (if annual support opted). No data flows to us.
Technology stack
Azure AI Search
Vector + keyword hybrid search engine
Azure OpenAI Service
Embeddings, intent detection, generative responses
Python Azure Functions
Connector logic, crawlers, API layer
React + Recharts + shadcn/ui
Search UI and analytics dashboard
Azure Logic Apps
Task completion workflows, notifications
MCP (Model Context Protocol)
Universal connector framework
Azure SQL Serverless
Search index metadata, analytics, audit
Bicep IaC
Reproducible, version-controlled infrastructure
See the deployment process firsthand
We'll walk you through the architecture, deployment process, and timeline for your specific environment.
Schedule a demo