Built on
Vectorized Truth.
The engineering that makes instant, cross-silo intelligence possible -- validated for CTOs and CIOs who demand proof, not promises.
Data Lake Vectorization
How we ingest structured and unstructured data into a vector store for instant, semantically-aware retrieval.
Structured Ingestion
SQL databases, APIs, and ERP exports are normalized into a unified schema in real-time.
Unstructured Processing
PDFs, Word documents, SharePoint files, and emails are parsed, chunked, and embedded.
Vector Embedding
All data is converted into high-dimensional vector representations for semantic search.
Instant Retrieval
Sub-second query responses across your entire enterprise knowledge base.
Designed to Play Well With Everything.
QueryNow OS is built on open standards and universal protocols, so it amplifies your existing AI investments instead of replacing them.
MCP (Model Context Protocol)
Native support for Anthropic's Model Context Protocol. Any MCP-compatible tool server becomes instantly accessible to QueryNow OS, enabling universal data and tool interoperability.
Agent Orchestration
Don't replace your existing AI agents -- orchestrate them. QueryNow OS routes queries to the right agent based on intent, capability, and permission, creating a unified AI workforce.
Enterprise API Fabric
A protocol-agnostic integration layer that speaks REST, GraphQL, gRPC, webhooks, and event streams. Connect any system with a standard adapter pattern.
Agentic Workflow Engine
Chain multi-step operations across systems and AI models. The workflow engine handles retries, rollbacks, and parallel execution with enterprise-grade reliability.
LLM Agnostic Architecture
Not locked to any single AI provider. Works with GPT-4, Claude, Llama, Gemini, or your own fine-tuned models. Switch providers without changing a single line of business logic.
Secure AI Gateway
All AI interactions pass through a security gateway that enforces RBAC, data masking, and compliance policies before any data reaches an external model.
Enterprise-Grade Security. Zero Compromise.
Built for the most regulated industries. Your data stays yours.
Role-Based Access Control
RBAC inherited from your source systems. If you can't see it in Salesforce, you can't see it in QueryNow.
End-to-End Encryption
AES-256 encryption at rest and TLS 1.3 in transit. Your data never leaves your security perimeter.
SSO & MFA
Enterprise single sign-on with SAML 2.0 and OIDC. Multi-factor authentication enforced by default.
Audit Logging
Complete audit trail of every query, data access, and administrative action for compliance.
On-Premise Deployment
Deploy within your own infrastructure. Full control over data residency and network isolation.
Private Cloud Options
Dedicated VPC deployment on AWS, Azure, or GCP with your own encryption keys.
Modern Architecture. Enterprise Scale.
Every layer is chosen for a reason: speed, reliability, and the ability to scale to millions of queries.
Frontend
React / Next.js
Consumer-grade UX built with the same frameworks powering the best SaaS products. Server-side rendered for speed, client-interactive for engagement.
Backend
Python / Django
Battle-tested API layer handling query orchestration, business logic, and real-time data normalization across enterprise systems.
AI Layer
LLM Agnostic
Not locked to any single model. Works with GPT-4, Claude, Llama, or your own fine-tuned models. Switch providers without changing a line of code.
Data Layer
Vectorized Store
High-performance vector databases paired with traditional stores for hybrid retrieval. Sub-second response times across petabytes.