Kraph

KNOWLEDGE INFRASTRUCTURE FOR HUMAN AND AI

Connecting knowledge,
creating understanding.

Kraph builds knowledge information services by turning domain knowledge from across the world into high-quality data, metadata, knowledge graphs, and fit-for-purpose structures that people and AI can use together.

Explore our services About Kraph

01 / ABOUT

Information is abundant.
Knowledge we can understand is not.

Documents and data are growing rapidly, yet they remain scattered across sources and formats. Kraph goes beyond collection to structure entities, concepts, relationships, sources, and context together.

02 / WHAT KRAPH DOES

Turning knowledge into structures ready for services.

01

Structured knowledge

We design concepts, entities, relationships, and context in forms that can be connected.

02

High-quality domain data

Across domains such as brands and books, we build trustworthy metadata and knowledge structures.

03

Services for people and AI

We deliver knowledge information services for discovery, understanding, recommendation, analysis, and AI applications.

03 / SERVICE PORTFOLIO

One knowledge infrastructure.
Multiple domain services.

With Deepgraph as a shared foundation, we continuously discover and verify domain knowledge, then turn it into services built for specific needs.

BUILDING

Brandeep

Brand knowledge portal

A service for deeply exploring brand identity, products, categories, relationships, and market context.

BUILDING

the subtext

Book metadata and knowledge service

It structures authors, subjects, concepts, relationships, and context beyond surface-level bibliographic data.

CORE PLATFORM

Deepgraph

Agent-native knowledge graph operations platform

Kraph’s core platform for connecting and validating knowledge across domains, providing a shared foundation for people, AI, and services.

04 / PLATFORM

AI operates knowledge continuously.
People focus on what matters.

Deepgraph AI agents continuously automate the discovery, connection, evolution, and activation of knowledge. People set goals and standards, focusing on consequential decisions and exceptions to keep automation aligned and accountable.

Deepgraph AI
AUTOMATION CONTINUOUS
  1. 01

    Discover broadly

    Continuously capture new knowledge and change

  2. 02

    Connect with context

    Expand fragmented information into connected knowledge

  3. 03

    Evolve continuously

    Improve knowledge breadth and consistency as the world changes

  4. 04

    Activate everywhere

    Give people, AI, and services a shared knowledge foundation

05 / VISION

Knowledge infrastructure people and AI build and use together

Kraph combines the scale of AI agents with human judgment to operate knowledge across domains with greater breadth and depth. AI supports repeatable, large-scale knowledge work, while people focus on direction, standards, and consequential decisions.

  • A knowledge foundation that expands across domains
  • Shared context for people and AI
  • Sustainable knowledge that powers services
  • Knowledge infrastructure that adapts to change