# Kobai

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/kobai
- **Dataset:** https://optimly.ai/brand/kobai.json
- **Markdown:** https://optimly.ai/brand/kobai/llms.txt
- **Official website:** https://kobai.io
- **Slug:** kobai
- **Categories:** ai-machine-learning, data-analytics-business-intelligence

## Overview

- **Tagline:** Provides a no-code interface for domain experts to build semantic models, operates natively within the customer’s governed data environment without requiring data movement to an external graph database, is a Databricks Built On Partner, offers integrated semantics, lineage, and relationships for an AI-ready data layer, and provides code-less querying.
Source: Brand's website (https://kobai.io) · 2026-10-04

- **Description:** Kobai provides a semantic intelligence platform that builds and operationalizes enterprise context on data platforms like Databricks. It unifies enterprise data, ontology, and meaning into a single semantic layer, enabling AI systems to operate with governed, relationship-aware business context, solving challenges like disconnected data, AI hallucinations, and complex data integration.
Source: Brand's website (https://kobai.io) · 2026-10-04

## Offerings

- **Core capabilities:** Semantic Intelligence Platform; Enterprise Knowledge Graph; Semantic Layer for AI
Source: Brand's website (https://kobai.io) · 2026-10-04

- **Pricing:** Not explicitly mentioned, likely enterprise subscription or usage-based.
Source: Brand's website (https://kobai.io) · 2026-10-04

## Audience

- **Target industry:** Enterprises across industries (e.g., pharmaceutical, aerospace manufacturing, energy) facing disconnected data, siloed teams, and challenges in grounding AI systems with reliable context, especially compliance-heavy industries. Organizations leveraging Databricks, Snowflake, Azure, SAP, etc.
Source: Brand's website (https://kobai.io) · 2026-10-04

Page last updated 2026-10-17.