What Graphwise does

Graphwise provides enterprise knowledge graph infrastructure used to make generative AI reliable and scalable. The platform combines the GraphDB semantic graph database, Graph Modeling and Graph Automation tools, Semantic Analytics for text mining, and the Graphwise GraphRAG workflow engine into a single software stack organized into Data Management, Knowledge Management, and Graph AI suites, with vertical enablers such as the LinkedLife Data Inventory (200+ pre-processed biomedical datasets), AI-Powered Target Discovery, and the Recomentor ESG assistant. The company was formed in 2024 through the merger of Ontotext (graph database and AI models) and Semantic Web Company (PoolParty semantic platform), and is led by President Atanas Kiryakov with offices in Sofia, Vienna, New York, Basel, and London.

The commercial model is predominantly enterprise subscription licensing for the Graphwise Platform, Graph AI Suite, GraphRAG, and GraphDB, layered with professional services for implementation and the Graphwise Academy for certified training. Go-to-market is direct enterprise sales augmented by accelerator programs, channel and OEM partnerships (notably the PANTOPIX SPHERE Graphwise Edition for Digital Product Passports), and event-driven demand generation anchored by the annual Graphwise AI Summit and recurring webinar series. Target customers are large, regulated, data-intensive organizations across pharmaceuticals and life sciences, financial services, manufacturing, enterprise technology, and ESG reporting, with named deployments at Microsoft Docs, BBC, AstraZeneca, Avalara, Sika, JobTeaser, and the Netherlands government (KNB).

Name

Graphwise

Legal name

ONTOTEXT AD

Website

https://graphwise.ai

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

101–250 employees

Short description

Graphwise provides enterprise knowledge graph infrastructure, combining the GraphDB semantic database with GraphRAG and ontology tools to ground generative AI in verified enterprise facts for regulated, data-intensive organizations.

Ownership category

akta.pro rank

Product category

Enterprise AI Infrastructure / Knowledge Graph Software

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)

Keywords

• Knowledge graph software
• Semantic graph database
• Enterprise GraphRAG platform
• Ontology management software
• AI knowledge infrastructure

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices5 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. Platform and Software Licenses: Subscription-based licensing for the Graphwise Platform, Graph AI Suite, Data Management Suite, and Knowledge Management Suite. Also includes GraphDB licensing with options ranging from free evaluation to enterprise deployments.
2. Professional Services: Implementation, consulting, and training services to help organizations build knowledge graphs, deploy GraphRAG solutions, and accelerate AI adoption through the Accelerator Programs.
3. Academy and Training: Educational platform offering learning paths and courses for knowledge engineers (PoolParty training) and data engineers (GraphDB certification), including Knowledge Graph Engineer and GraphDB Developer programs.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels10 records

Core offering

Graphwise builds and sells the Graphwise Platform, an end-to-end Enterprise AI framework that combines the GraphDB semantic graph database, Graph Modeling (taxonomy/ontology management), Graph Automation (ETL), Semantic Analytics (text mining), Search and Recommendation, and the Graphwise GraphRAG retrieval workflow engine. The platform is sold in three suites (Data Management, Knowledge Management, Graph AI) plus vertical enablers, and is licensed to enterprises to ground generative AI in verified, W3C-standard knowledge graphs.

Product overview

Graphwise offers a unified platform architecture combining multiple products and modules. The core Graphwise Platform is an end-to-end Enterprise AI framework that integrates GraphDB (semantic graph database), Graph Modeling (taxonomy/ontology management), Graph Automation (ETL framework), Semantic Analytics (text mining), Search and Recommendation, and Graphwise GraphRAG into a single software stack. The platform is organized into three suites: Data Management Suite (for building knowledge graphs from structured data), Knowledge Management Suite (for transforming content into AI-ready assets), and Graph AI Suite (for combining knowledge graphs with GenAI). Specialized enablers include Graphwise for Microsoft 365 integration, LinkedLife Data Inventory (200+ biomedical datasets), AI-Powered Target Discovery, and Recomentor ESG analysis tool. The company emerged from a merger of Ontotext and Semantic Web Company, with product brands GraphDB and PoolParty continuing as strong, well-known sub-brands.

Differentiator

Problem solved

Functional benefit

Brands

• GraphDB: Enterprise-grade semantic graph database to store and manage knowledge graphs
• PoolParty
• Graphwise GraphRAG
• Graphwise Platform
• Recomentor

Products and services

• Graphwise Platform End-to-end Enterprise AI framework that turns disconnected data into Enterprise AI. Makes Generative AI reliable and scalable by transforming data into a trusted Semantic Backbone, deploying intelligent agent-based systems, and delivering AI applications on an integrated platform. Unifies GraphDB, Graph Modeling, Graph Automation, Semantic Analytics, and GraphRAG in a single software stack. Targeted at enterprise data, AI, and platform teams.
• Graphwise GraphRAG Context-aware retrieval workflow engine that combines knowledge graph retrieval, vector search, and full-text search. Grounds AI responses in enterprise knowledge graphs to eliminate hallucinations and deliver verifiable, traceable answers; supports multi-hop reasoning and inspection of the AI reasoning pipeline. Targeted at enterprise AI and platform engineering teams.
• GraphDB Enterprise-grade semantic graph database that stores company data as an interconnected web of facts (nodes and edges) with explicit, governed, queryable relationships and native reasoning. Optimized for scalability and performance; supports RDF/SPARQL/OWL. Available with a free GraphDB evaluation license and as enterprise subscription. Targeted at enterprise data, knowledge engineering, and semantic AI teams.
• Graph Modeling Taxonomy and ontology management tool that defines business meaning and logic using LLMs to suggest concepts, synonyms, relationships, and business rules while keeping a human expert in control. Foundation for building domain knowledge models and graphs. Targeted at knowledge engineers and ontology owners.
• Graph Automation ETL framework to build knowledge graphs by coordinating repeatable data and transformation pipelines across systems like SharePoint, SQL databases, and content repositories into one governed flow. Targeted at enterprise data engineering teams.
• Semantic Analytics Graph-based text mining capability that enriches knowledge graphs by identifying entities, extracting concepts, applying metadata, and automatically tagging information so hidden knowledge becomes visible to the system. Targeted at enterprise content and knowledge management teams.
• Search and Recommendation Search capabilities built on Graph AI that enable semantic search understanding meaning and intent beyond keyword matching, using context from knowledge graphs and ontologies to deliver intelligent recommendations. Targeted at enterprise search, customer support, and product navigation use cases.
• Data Management Suite Platform suite for unifying fragmented data to build a Knowledge Graph at scale while keeping data structured and classified. Connects structured sources such as SQL databases, ERP, CRM, and IoT sensor feeds. Targeted at enterprise data teams and integration projects.
• Knowledge Management Suite Platform suite that combines automated tagging, NLP, semantic search, and recommendation with knowledge graphs to make content discoverable, extract insights, and establish intelligent content hubs. Targeted at enterprise knowledge management, documentation, and content teams.
• Graph AI Suite Platform suite combining Knowledge Graph with GenAI to improve AI accuracy and reliability of AI assistants. Integrates modeling, ingestion, semantic analysis, and GraphRAG to enable trustworthy AI applications grounded in enterprise knowledge graphs. Targeted at enterprise AI, data, and platform engineering teams.
• Graphwise for Microsoft 365 Semantic AI integration that turns Microsoft 365 environments (SharePoint, Teams, Copilot, OneDrive, Outlook) into a smart knowledge hub, unifying fragmented content across the M365 ecosystem. Targeted at enterprises standardized on Microsoft 365 for collaboration and knowledge work.
• LinkedLife Data Inventory (LLDI) 200+ pre-processed and ready-to-use datasets and ontologies in RDF format covering genomics, proteomics, and pharmacology, enabling rapid knowledge graph building for life sciences and biomedical research. Targeted at pharmaceutical, biotech, and biomedical research organizations.
• AI-Powered Target Discovery Intelligent software tool that unifies disconnected biomedical databases to rapidly identify and rank new drug targets or repurposing candidates, integrating over 200 datasets and 80 million research documents via knowledge graphs. Targeted at pharmaceutical R&D and translational research teams.
• Recomentor AI assistant for ESG analysis that automates CSRD reporting, climate risk assessment, and EU Taxonomy compliance processes, providing actionable insights with source-traceable data. Targeted at sustainability, ESG, compliance, and finance teams in regulated organizations.
• Accelerator Programs Low-risk, fixed-scope engagement program that proves Graph AI business value quickly using the customer's own data and use cases before committing to a long-term license. Includes deliverables and proof-of-value scope rather than open-ended consulting. Targeted at enterprises evaluating Graph AI for knowledge-intensive workflows.
• Graphwise Experience Area Comprehensive free-to-use evaluation and educational suite including Demo Area (interactive software demonstrators), Graphwise Sandbox (GraphDB environments for temporary technical evaluation), and Graphwise Academy (learning paths and video courses). Targeted at evaluators, knowledge engineers, and GraphDB developers.

Quantifiable outcome

• 25% improved AI accuracy with Graphwise Platform
• +9 more outcomes

Named customers9 records

Segments5 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration7 records

AI capability8 records

Feature9 records

Partnerships

One partnership is on record.

• PANTOPIXcoreStrategic or Co-development Partner · 4 June 2026Strategic partnership to launch PANTOPIX SPHERE Graphwise Edition, a preconfigured knowledge platform combining PANTOPIX's knowledge platform with Graphwise's knowledge graph technology. The integrated solution enables companies to consolidate distributed technical product information into a central knowledge layer and create enterprise-wide knowledge graphs for AI applications. Key applications include Digital Product Passports (DPP) for regulatory compliance, AI-powered service systems, and product navigators for sales.

Scale indicators8 records

Recent moves7 records

Expansion highlights5 records

Direct peers

• Neo4j: Neo4j is the leading native graph database vendor, offering a property graph database with Cypher query language and a knowledge graph/GraphRAG product stack. It directly competes with Graphwise's GraphDB and GraphRAG offerings for enterprise graph workloads, and has significantly larger market share and brand recognition.
• TigerGraph: TigerGraph is a native parallel graph database platform focused on enterprise-scale analytics, with strong adoption in financial services and anti-fraud. It is a direct competitor in the enterprise graph database market, and Todd Blaschka (former TigerGraph COO) now advises Graphwise, reflecting close market positioning.
• Stardog: Stardog is an enterprise knowledge graph platform combining RDF/SPARQL graph database with ontology-driven data virtualization and reasoning. It competes directly with Graphwise's semantic graph database and GraphRAG offerings, particularly in pharma, financial services, and government markets.
• Memgraph: Memgraph is an in-memory graph database built on a streaming-first architecture for real-time analytics, with growing AI integration features. It is a direct competitor in the enterprise graph database market, often selected for real-time, transactional graph workloads that compete with GraphDB.
• AllegroGraph: AllegroGraph is a horizontally distributed, multi-model semantic graph database with strong RDF/SPARQL support and Neuro-Symbolic AI capabilities. It directly competes with Graphwise's GraphDB in the semantic graph and knowledge graph market, particularly for enterprise AI applications.

Broad incumbents

• Amazon Neptune: Amazon Neptune is AWS's managed graph database service supporting property graph and RDF models, deeply integrated with the broader AWS data and AI stack. As a hyperscaler offering, it competes on price, ecosystem integration, and managed-service simplicity against Graphwise's self-managed and enterprise graph database product.
• Databricks: Databricks is a leading data lakehouse platform that has been adding graph and GenAI features, including Unity Catalog for data governance and DBRX-based GenAI tooling. It competes with Graphwise as a broader enterprise data and AI platform where customers may consolidate semantic, graph, and AI infrastructure spend.
• Palantir Technologies: Palantir's Foundry and AIP platforms provide ontology-driven data integration, knowledge graph capabilities, and AI applications for large enterprises and government. It competes with Graphwise in pharma, financial services, and government accounts where semantic data integration and explainable AI are critical.

Emerging players

• Kùzu: Kùzu is an open-source, embeddable graph database management system focused on high performance and Cypher compatibility. As an emerging player in the graph database space, it represents a potential open-source alternative for new entrants evaluating GraphDB and may attract developer mindshare away from commercial graph vendors.

Others

• Ontotext (legacy): Ontotext is now part of Graphwise, but its legacy GraphDB product and GraphDB Free edition remain an installed base and reference implementation. It is included for completeness given the merger lineage, but is not a standalone peer going forward.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• YouTubeyoutube.com/@GraphwiseAI/playlists
• LinkedInlinkedin.com/company/graphwise

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles9 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A2 records

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Graphwise