Tensoftworks

What Tensoftworks does

Tensoftworks (legal name: Ten Softworks, Inc.) is a privately held Korean AI company founded in 2019 and headquartered in Gangnam-gu, Seoul. The company builds ontology-driven AI services, structuring domain data into semantic units connected by unique IDs and hierarchical relationships, then layering AI capabilities — hybrid search, recommendations, chatbots, and domain-specific small language models (sLLMs) — on top of that structure. The core technical differentiator is a logic-based inference approach rather than pure probabilistic inference, designed to make AI outputs explainable and traceable to structured relationships. The flagship product is the Biblo Platform, launched in 2025 at Sungkyunkwan University (SKKU) Academic Library, which analyzes 340K+ books and structures them into 320K+ Works using the IFLA FRBR model with 10 types of semantic metadata (genre, concept, event, place, person). The company also offers MCP (Model Context Protocol) integration that exposes ontology data to external AI agents.

The product portfolio includes Biblo (enterprise ontology AI for academic libraries), VoiceCards (a consumer voice-enabled TTS/STT flashcard app for iOS and Android with Google Sheets integration), and ReviewNotes (a web-based adaptive study platform hosted on AWS). Enterprise customers include SKKU Academic Library, Guri City Library (April 2025 partnership), KT Alpha (B2B promotional product platform, 2024), and Samsung Emax System (private mall for apartment residents, 2025). The company has stated domain expansion intent into tourism beyond its current book and e-commerce verticals.

The business model combines professional services for ontology construction and custom AI development (structured four-stage engagements: domain analysis, ontology design, AI service development, deployment) with platform licensing of domain-specific ontology data and sLLM models. Consumer products operate on freemium models. Pricing is not publicly disclosed and appears quote-based for enterprise work. The company is founder-controlled under CEO Cheol-Hyung Kim, has no disclosed institutional funding or external investors, and has received consecutive R&D Innovation Awards for e-commerce solutions from Money Today (2023, 2024) and MOTIE Business Restructuring Plan approval via Seoul Technopark in 2025.

Name

Tensoftworks

Legal name

Ten Softworks, Inc.

Website

https://tensoftworks.com

Company type

Private

Founded year

2019

Operating status

Operating

Short description

Tensoftworks is a Korean AI company founded in 2019 that builds ontology-driven AI services — structuring domain data into semantic units with unique IDs and hierarchies to power explainable search, recommendations, and domain-specific language models. It serves Korean academic libraries (Biblo Platform) and enterprise e-commerce clients (KT Alpha, Samsung Emax), with consumer learning apps VoiceCards and ReviewNotes as secondary products.

Ownership category

akta.pro rank

Product category

Ontology AI Software

NAICS

Software Publishers (5132), Computer Systems Design and Related Services (5415)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)

akta.pro primary industry

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

akta.pro secondary industries

LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD), Enterprise Foundation Model Integration & APIs (Connectors, Governance, Deployment) (HDAAACAO)

Keywords

• Ontology AI platform
• Semantic search solutions
• Domain knowledge graph
• AI library services
• Data structuring services

Headquarters

HQ city

Seoul

HQ country

South Korea

HQ region

Asia

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Ontology Construction & AI Service Development: B2B professional services for structuring domain data into ontology and building AI services on top — including hybrid search, recommendations, chatbots, sLLM training, and MCP integration. Sold as structured engagements following a four-stage collaboration process (domain analysis → ontology design → AI development → deployment).
2. Platform Licensing / Domain-Specific AI Solutions: Licensing of domain-specific ontology data and sLLM models to enterprises. The Biblo platform represents a deployed reference implementation for academic libraries, with expansion into e-commerce and tourism domains using the same ontology engine.
3. VoiceCards App (Consumer Learning Tool): Free app with optional AI card generation credits. VoiceCards processes card content stored in user's own Google Drive, with credit-based AI generation feature. Data privacy is a key differentiator — no card content stored on company servers.
4. ReviewNotes (Consumer Learning Platform): Free web application with AWS-hosted data storage. Revenue model not explicitly disclosed; service may operate on a freemium basis or serve as a product demonstration of ontology and AI capabilities.

Go-to-market motion1 record

Distribution channels3 records

Marketing channels1 record

Core offering

Tensoftworks builds ontology-driven AI solutions that structure domain data into semantic units connected by unique ID systems and hierarchical relationships, then power explainable AI services (hybrid search, recommendations, classification, chatbots, domain-specific sLLMs) on top of that structure. Its flagship product is the Biblo platform for academic libraries, deployed at Sungkyunkwan University (SKKU) in 2025; it also provides enterprise e-commerce platforms and two consumer learning apps (VoiceCards, ReviewNotes).

Product overview

Tensoftworks offers a platform-plus-products architecture centered on domain ontology and AI. The core technology is an ontology-driven AI platform that structures domain data with unique IDs and semantic metadata, enabling hybrid logical/vector search. The flagship product is Biblo Platform (book ontology for academic libraries), supplemented by two consumer learning apps: VoiceCards (voice-enabled flashcards for iOS/Android) and ReviewNotes (personal study review web app). All offerings share the foundational ontology engine and MCP integration capability.

Differentiator

Problem solved

Functional benefit

Brands

• Biblo: AI ontology-based book search platform for academic libraries, using FRBR model and semantic metadata
• VoiceCards
• ReviewNotes

Products and services

• Biblo Platform Book ontology AI search platform for academic libraries based on the IFLA FRBR model. Analyzes library book collections, structures them into Works with unique IDs and hierarchical relationships (Work → Expression → Manifestation → Item), generates 10 types of semantic metadata (genre, concept, event, place, person), and delivers explainable AI recommendations combining ID-based logical search with vector similarity. Deployed at SKKU Academic Library and expanding to Guri City Library.
• Ontology Construction & AI Service Development B2B professional services for structuring client domain data into ontology (unique IDs, hierarchical relationships, semantic metadata) and building AI services on top — including hybrid search, recommendations, chatbots, domain-specific sLLM training, and MCP integration. Sold as structured engagements.
• VoiceCards Interactive voice-enabled flashcard learning app using Text-to-Speech and Speech-to-Text. Users speak answers and verify them visually in real-time. Card content is stored in the user's own Google Drive (not on company servers); AI card generation operates on a credit basis.
• ReviewNotes Personalized review web application that transforms offline study problems into an adaptive review system. Supports text and image problem registration, custom problem sets, difficulty/topic filtering, and learning statistics tracking on AWS cloud infrastructure.

Quantifiable outcome

• Biblo at SKKU: 340K+ books analyzed, 320K+ works structured, 4.15M+ relations — enabling explainable AI recommendations combining vector similarity with logical search
• +2 more outcomes

Named customers4 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability7 records

Feature8 records

Partnerships

Four partnerships are on record, tiered core and flagship.

• Guri City LibrarycoreStrategic or Co-development Partner · 17 April 2025Guri City Library partnership ceremony held April 17, 2025 for AI-based library service enhancement. Tensoftworks is deploying ontology-driven AI to modernize the library's discovery and recommendation capabilities, building on the Biblo model developed at SKKU.
• Sungkyunkwan University (SKKU) Academic LibraryflagshipStrategic or Co-development Partner · 1 January 2025SKKU Academic Library partnered with Tensoftworks to deploy the Biblo platform — the first FRBR-based ontology AI search system for a Korean university library. Biblo went live in 2025, analyzing 340K+ books and structuring them into 320K+ Works with 10 types of semantic metadata. The partnership is positioned as a model for AI-enabled university libraries across Korea, with the Library Director anticipating a Ministry of Culture Award as a result.
• Samsung Emax SystemcoreStrategic or Co-development Partner · 1 January 2025Private mall platform built for Samsung Emax System apartment residents in 2025. Includes resident authentication, complex-specific products, and delivery management. Ontology applied to household appliances with contextual metadata (e.g., air conditioner categorized by household type, season, room size, installation type) enabling semantic queries like 'Summer appliance recs for newlywed 25py.'
• KT AlphacoreStrategic or Co-development Partner · 1 January 2024Full-stack B2B promotional product platform built for KT Alpha enterprise customers in 2024. Covers bulk orders, custom product management, and settlement systems. Ontology structure applied to enterprise promo products (e.g., ID system for product categorization by purpose, target, quantity, and options).

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Emerging players

• Glean: Enterprise AI search and assistant that indexes organizational knowledge and serves it to AI agents. Comparable as an emerging AI-search competitor with a broader horizontal scope than Tensoftworks' vertical ontology approach.
• Hebbia: AI knowledge search platform for enterprises that structures document data and serves AI agents. Comparable emerging player in AI-powered knowledge retrieval that overlaps with Tensoftworks' structured-data approach for AI agents.
• Elicit: AI research assistant that structures academic papers and helps researchers find, summarize, and synthesize literature. Comparable to Tensoftworks' Biblo platform for academic library research discovery, though Elicit focuses on researcher workflows.

Broad incumbents

• Neo4j: The leading graph database vendor with growing ontology and GenAI integrations. Comparable as a broader incumbent in the knowledge-graph and ontology tooling space that Tensoftworks operates in.
• Palantir: Large-scale data integration and ontology platform (Foundry/Ontology) used by enterprises to model domain knowledge and build AI applications. Comparable as a much larger incumbent in ontology-driven enterprise AI that Tensoftworks competes against at smaller scale.

Direct peers

• Stardog: Enterprise knowledge graph platform that lets organizations model data as ontologies and query them via semantic reasoning, often combined with LLMs. Highly comparable to Tensoftworks' ontology-first AI architecture powering Biblo's hybrid search.
• PoolParty Semantic AI: Provides semantic AI platforms including ontology management, knowledge graphs, and AI-based metadata generation for enterprise content. Closely matches Tensoftworks' combination of ontology construction and 10-type semantic metadata auto-generation.
• Coveo: AI-powered enterprise search, recommendation, and personalization platform widely deployed in commerce and customer knowledge scenarios. Comparable to Tensoftworks' recommendation engine and semantic search deployments for libraries and e-commerce.
• Ontotext (GraphDB): Offers a semantic graph database and ontology-based enterprise search/text analytics. Comparable to Tensoftworks' FRBR-structured ontology with logic+vector hybrid search over semantic relations.
• Sinequa: Enterprise search and NLP platform that combines semantic understanding, ML, and generative AI for knowledge discovery at scale. Comparable to Tensoftworks' hybrid logical/vector search engine and AI chatbot (Library AI) capabilities.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

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

M&A

Investments

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

Frequently asked questions about Tensoftworks