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App Orchid

Semantic layer for plain-English enterprise data queries

Raised to date

$1M

of $12M offered across 1 Form D filing

Still open
$11M
Investors
4
Last filed
Jun 22, 2026

About

App Orchid is a San Ramon, California enterprise AI software company that sells a semantic layer and decision intelligence platform. Its software unifies structured and unstructured enterprise data into a knowledge-graph-backed context layer so business users and AI agents can query it in plain English and get accurate, explainable answers. The company has historically focused on energy, utilities and insurance, and cites customers including American Water, BP, Fidelity Investments, T. Rowe Price and Freddie Mac. It is led by CEO Vaibhav Nadgauda.

A patented knowledge graph engine encodes business logic across siloed systems, which App Orchid uses to drive an ontology-grounded text-to-SQL engine it claims reaches near-100% retrieval accuracy — the context layer, rather than the model, is what makes natural-language questions resolve correctly.

Funding

  • EquityFiled Jun 22, 2026Form D/A
    $1M/ $12M

Product

Easy Answers

Enterprise AI analytics platform

A natural-language analytics product that sits on App Orchid's enterprise semantic layer, letting users ask business questions in plain English and receive auto-generated insights with explanations and data lineage back to the source systems.

  • Semantic layer that connects siloed data and encodes business logic via a patented knowledge graph engine
  • Semantic SQL engine delivering ontology-grounded text-to-SQL and retrieval context
  • Natural-language question answering in plain English

Built for

Large enterprises — particularly energy, utilities, insurance and financial services — reached through analytics leaders, data engineers, IT leaders and line-of-business executives

People on file