Arbolus Intelligence

Ontotext

ontotext.com · Sofia, Bulgaria

Ontotext is a software company that provides semantic graph database technology and knowledge graph solutions used to integrate, enrich, and analyze complex data. Its flagship product, GraphDB, and related tools are used by enterprises, publishers, and public sector organizations for search, data integration, and analytics. The company generates revenue through software licensing, cloud and support subscriptions, and professional services for knowledge graph projects.

  • Database & Data Storage
  • Document & Vision AI
  • Business Intelligence & Dashboards
Listed in
Revenue
$14.0M
Employees
160
Founded
2000
Headquarters
Sofia, Bulgaria

What 10 Arbolus experts think of Ontotext

NPS scores are predominantly high, with 70% of experts rating 9 or above and the remainder at 7-8. Renewal intent is unanimously positive among respondents who disclosed it. Stickiness is elevated, as most customers have been live for more than one year or are progressing to steady-state usage following pilot stages. Feedback themes highlight Ontotext’s strengths in semantic depth, connection of disparate data, and foundational AI enablement. Areas noted for improvement include ease of implementation and competition from AI-native platforms. Overall Customer Sentiment: Positive

Who reviewed Ontotext

Total customers 10 10 current · 0 former
Reviews growth +10 in six months
Seniority of respondents
  • C-Suite 33% (3)
  • Director 56% (6)
  • Manager 11% (1)
Strategy Partner Manager NPS 8 Submitted Jul 2026
Finance Leader Director NPS 7 Will renew Submitted Jul 2026
Data Leader Director NPS 9 Will renew Submitted Jul 2026

Employer names and spend open in the full report, along with the other 7 customers.

Everything 10 customers told us about Ontotext.

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Sentiment

50 Net Promoter Score, from 10 scored reviews
  • Promoters 5
  • Passives 5
  • Detractors 0

Praised

  • Cloud Integration and Managed Services
  • Simplified Administration and Usability
  • AI-Assisted Knowledge Discovery
  • Adherence to Semantic Standards

Criticised

  • AI-Native Competition
  • Specialist Expertise Required
  • Implementation Complexity
  • AI as a Potential Replacement for Specific Functions

What customers say

Adherence to Semantic Standards
“I rely on GraphDB because it provides RDF-native storage, SPARQL querying, and ontology-aware modelling—serving as a robust semantic backbone that’s standards-compliant.”
Deep Semantic and Knowledge Graph Capabilities
“I consider Ontotext essential for connecting information across multiple sources and for building a semantic foundation supporting analytics and AI, which is especially valuable in complex environments.”
Flexible Integration and Interoperability
“I found that Ontotext integrates easily with our existing architecture and supports a diverse set of structured and unstructured data sources, which helped justify our decision.”

Renewal intent

Plan to renew 100%
  • Will renew 6
  • Undecided 0
  • Not renewing 0

Plan to renew, by seniority

  • C-Suite 100% 2 answers
  • Director 100% 4 answers
  • 8.5/10 Average score from customers who will renew

Report

Customer Report - Jul 2026 Jul 2026 10 + 0

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