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The Enterprise Context Layer for AI-Ready Data

A modern context layer that understands your business, enabling next-gen AI, analytics and agent success.

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Enterprise Intelligence Layer
Trusted by industry-leading companies around the world

App Orchid unlocks what others couldn’t

Your enterprise data and your employees have all the context you need.
App Orchid operationalizes it.

Unify

All structured and unstructured data are seamlessly connected and enriched in a rich data fabric.

Accurate

With high quality context, get near-100% accuracy on retrieval-augmented generation (RAG). 

Reason

Patented knowledge graph technology enriches data, contextualizing information, and preserving business meaning for LLMs and business users.

Secure

Enterprise-grade data privacy, role-based access and automated compliance tracking.

Discover why enterprise companies rely on App Orchid to drive their AI initiatives.

90%+

Cut time to insight

85%

Lower report and analytics generation costs

50%

Faster AI use case deployment

How it works

Semantic intelligence driving faster insights and decisioning for humans and AI

Context Layer

Our patented knowledge graph engine automatically connects siloed data and encodes business logic - creating a context layer that AI agents can reason over, not just query.

Enterprise Intelligence Layer
Insights Engine

Leverages the power of ML to extract insights from structured and unstructured data. Enable smarter, faster, and more contextual decision-making.

AI Models | Data Systems | Output Data
Analytics and Dashboards

Automatically generate intuitive, AI-powered visualizations. Analytics that make complex insights easy to understand and act upon.

Growth and Sales Chart

Solutions

Purpose-built for the AI era, where people and data connect seamlessly.

Context Layer

Get your data AI-ready with a unified semantic foundation

Universal Context for
BI and LLMs

Connect and contextualize all enterprise data for LLMs and human understanding with connectors for onboarding external and unstructured data.

Dynamic and Enriched Semantics and Meaning

Automated discovery, enrichment and maintenance of business semantics and common internal linguistics. Capture and integrate tribal knowledge from all users.

Current and Future Tool-Ready

Standardize metrics and semantics for data analytics. Enable agents with high quality data capabilities.

Easy Answers

Ask questions and get answers

Natural Language Querying

Easily ask questions in simple English that’s unique to your business and users.

Auto-Analytics

Get rich analytics automatically generated unique to each answer with high accuracy, explainability and clear data sourcing.

AI/ML Insights

Actionable insights from 50+ Quick insight models and easy integration to custom AI/ML models

Agentic Analytics

AI agents delivering insightful outcomes

Conversational Analytics Agents

Move beyond static queries with a continuous, contextual dialogue. Ask questions, generate visualizations, and understand the reasoning behind every insight in Easy Answers Agentic Mode.

  • Generate visualizations instantly
  • View and track reasoning, action plan and SQL generated
  • Explore data openly and iteratively
Multi-Agent Ecosystem

Data and Insight Agents that work seamlessly in a multi-agent ecosystem such as Google Agentspace or ServiceNow  NowAssist  to solve complex business problems.

  • Model Context Protocol (MCP) Capabilities (in preview)
  • Semantically governed data access for agents
  • Permission and access aware
Semantic Enrichment Agent

An always-on agent that learns from every interaction, continuously improving and enriching your semantic assets - so your context layer grows more valuable over time.

  • Learns and adapts from real usage
  • Automates metadata enrichment
  • Evolves and refines ontology models

Semantic SQL Engine

The most accurate Semantic SQL engine in the market

Transparent and Explainable

Get answers you can trust with best in class accuracy, reasoning, and data lineage for SQL generated to answer any question.

Query across multiple sources

Built-in federation means one question can be answered with data across many systems, with fine grained controls and encryption.

Customize for your organization

Build in your unique business semantics, incorporate user specific context and enable agentic use cases

Brian Mills photo

“App Orchid's ontology makes enterprise data accessible and actionable for every employee. Connecting Google Cloud's Cortex Framework with Gemini, it delivers trusted, real-time insights directly to users, empowering data-driven decisions at all levels of the organization.”

Brian Mills

Director, Enterprise AI Google

Accelerating AI
initiatives at scale

Analytics leaders
and data engineers

Every application is its own entity and siloed—make it AI-ready by unifying structured and unstructured data into a connected, contextual layer that powers accurate, enterprise-scale AI.

Line-of-business heads

AI is every line-of-business’s best friend—one connected data fabric turns siloed systems into AI-enabled workflows and smarter decisions.

A young man looking and smiling towards camera with a computer in background.
IT leaders

Reduce infrastructure headaches. App Orchid drops seamlessly into your environment, minimizing overhead while maximizing data security and compliance.

End users

Get the right answers, instantly. With native natural language querying and AI-powered insights, App Orchid makes it easy for anyone to find, understand, and act on data—without technical expertise.

A Context Layer that
makes your data AI-Ready

Accelerate your next-gen AI, analytics and decision intelligence success.

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