KDAN

KDAN (TPEx: 7737) provides diverse AI-driven workflow and data solutions.

We empower businesses to enhance operational efficiency, optimize organizational agility, and create business value with a sustainable vision. KDAN (TPEx: 7737) is committed to providing a diverse range of AI-driven workflow and data solutions, including digital document management, eSignature, and data analytics services. We empower global businesses to enhance operational efficiency and organizational agility, enabling them to create more business value through secure and innovative digital solutions while pursuing the vision of sustainable development. Headquartered in Taiwan, KDAN operates across China, the United States, Japan, South Korea, and Singapore, and is supported by over 14 million members worldwide, including 50,000 business members. KDAN has been recognized as one of the Top 500 High-Growth Companies in the Asia-Pacific region by the Financial Times, leading in the IT and Software category in Taiwan.

10/01/2026

KDAN joined Taiwan Digital Day 2026 in Kuala Lumpur as part of Taiwan's trade delegation to Malaysia from Sep 22 to 23. The event was organized by the Ministry of Digital Affairs and implemented by the Institute for Information Industry (III).

・Enterprise conversations: Met with Malaysian companies across smart city, retail, and healthcare to discuss where AI-driven document automation can support their digital transformation.

・MTDC exchange: Introduced KDAN's AI Document Infrastructure to the Malaysian Technology Development Corporation (MTDC), sharing how enterprise document workflows can become more structured, connected, and AI-ready.

Market expansion is built through conversations like these: understanding local priorities, building trust, and finding practical ways to create value together.

Grateful to our team on the ground for strengthening these connections in Malaysia. We look forward to continuing the conversations across Southeast Asia.

09/24/2026

🥮 Celebrating the Moon Festival. 🎑

We’re grateful to our partners and clients for growing with KDAN. Your trust and collaboration help us keep building AI Document Infrastructure for enterprise AI workflows.

Thank you for being part of the journey. Wishing you and your loved ones a warm and joyful Moon Festival.

09/18/2026

Last week in Tokyo, KDAN JAPAN and TRENDO co-hosted a seminar at Vision Center Tokyo Station on a challenge many enterprises still face: too much manual work between reading a document and putting its data to use.

Manual document review, repeated data entry, and AI-OCR or generative AI output that still needs correction can all slow down automation.

During the seminar, we shared how the two technologies work together:
・Com PDF AI: Extracts and structures document data with high precision
・TRENDO Agentify: Connects structured data with AI agent workflows

Making documents readable by AI is only the first step. The next is making that data usable across the workflow.

By connecting document extraction, data structuring, and AI agents, enterprises can reduce manual handoffs and move closer to practical, end-to-end AI document workflows.

09/17/2026

Enterprise AI budgets keep growing, but the return isn't showing up.

Gartner's 2026 findings show more than half of GenAI initiatives are abandoned right after proof of concept, while IBM Research finds that roughly 90% of enterprise data still sits in formats AI can't reliably read.

It's rarely the model that's the problem.

KDAN's new white paper breaks down exactly where AI ROI is leaking and includes a 10-question Data Readiness Self-Assessment so you can find your own stage before your next AI investment.

Download the free white paper: https://www.kdan.com/whitepaper/ai-roi-bottleneck

09/15/2026

Documents may already be digital—but that doesn’t mean AI can understand them.

Thank Business Next (數位時代) for interviewing KDAN Founder and Chairman Kenny Su, exploring how KDAN is responding to the changing competitive landscape shaped by AI.

Kenny shared three shifts behind KDAN’s transformation:
・Turning unstructured PDFs, contracts, and forms into structured, AI-ready data
・Rethinking organizational collaboration around AI Agents and standardized interfaces
・Expanding from subscriptions to SDK and API licensing, with customer renewal rates exceeding 90%

The key takeaway is clear: before enterprises can build effective AI knowledge bases or deploy AI Agents, their documents must first become readable, structured, and usable by machines.

KDAN is building on 15 years of document-processing expertise to help enterprises turn fragmented information into secure, actionable intelligence—the foundation for AI at scale.

Read the full Business Next interview in the comments

09/10/2026

🔍 Making AI work is only the beginning 🔍

Across two AI Transformation forums hosted by GrandTech Cloud Services Inc. in Taipei, one question stood out: How can companies turn a successful AI application into repeatable, sustainable growth?

KDAN Founder and Chairman Kenny Su first joined industry leaders to discuss how AI strategy becomes organizational ex*****on. He later moderated a capital markets panel exploring how startups can demonstrate value, build competitive advantages, and prepare for their next stage of growth.

Both conversations led to the same conclusion: technology alone does not create scale. Companies also need clear ownership, repeatable workflows, measurable outcomes, and market trust.

This perspective shapes how KDAN builds AI document infrastructure—helping businesses turn fragmented documents and processes into secure, connected, and scalable workflows.

For your organization, which is more challenging: making AI work, or making it work at scale?

08/27/2026

"SaaS is dead" is the line reshaping how the software industry thinks about its next decade.

KDAN's Chief Product & Strategy Officer, Chun-Chin Su, Ph.D., sees it differently: 𝘼𝙄 𝙞𝙨𝙣'𝙩 𝙚𝙣𝙙𝙞𝙣𝙜 𝙎𝙖𝙖𝙎, 𝙞𝙩'𝙨 𝙖𝙘𝙘𝙚𝙡𝙚𝙧𝙖𝙩𝙞𝙣𝙜 𝙬𝙝𝙖𝙩 𝙘𝙤𝙢𝙚𝙨 𝙣𝙚𝙭𝙩. That means more data sovereignty and more deployment flexibility for enterprise software.

🔹 MCP integration: DottedSign now connects to ChatGPT, Claude, Slack, and LINE, letting AI agents send contracts and check signing status through natural-language commands instead of manual system-hopping
🔹 Open-source Community Edition: live on GitHub under a dual-track model, letting enterprises self-host and verify DottedSign in regulated environments like healthcare, banking, and insurance
🔹 Ecosystem growth: opening the codebase invites developers and system integrators to build on DottedSign and extend its reach into new markets

From SaaS to API to MCP to open source, KDAN keeps lowering the barrier to enterprise AI adoption, turning eSignatures into infrastructure any AI agent can call on.

➡️ Read the full interview to see how it all comes together → https://www.bnext.com.tw/article/91955/kdan_202608

08/18/2026

🚀AI Infrastructure Needs More Than Compute — It Needs Actually to Read Your Documents 🚀

The AISO sovereign AI alliance keeps expanding, and KDAN is joining in with its document intelligence technology, focused on self-hosted AI infrastructure for healthcare and manufacturing.

Computing is only the first step. For an AI Agent to actually work inside enterprise workflows, someone still has to solve a harder problem: documents that can't be read, data that's scattered, and sensitive information that can't leave the building.

Through ComPDF Document Extraction, KDAN is bringing:
✅ Document recognition and OCR
✅ Semantic parsing and key data extraction
✅ Unstructured documents turned into AI-ready data
✅ Self-hosted processing, so data never leaves the enterprise environment

The result: industry-specific AI infrastructure that doesn't just compute but actually understands enterprise data.

There's more to come, and we look forward to sharing the next step soon.

Explore the AISO solution concepts:
🏭 AI-Powered OCR for Manufacturing
https://aisoportal.com/bundled-solution/ai-powered-ocr-for-manufacturing
🏥 AI-Powered OCR for Healthcare
https://aisoportal.com/bundled-solution/ai-powered-ocr-for-healthcare

08/04/2026

For most SMEs, customer engagement and document processing are disconnected, running on different tools and fragmented timelines. KDAN is closing this gap. Recently, KDAN partnered with Eslitec to connect their MantaGO platform directly with KDAN's AI Document Infrastructure.

By integrating Lynx PDF and DottedSign , customer conversations and the resulting documents now flow through a single, automated workflow. This solution is designed specifically for the Southeast Asian SME market. It offers an accessible and flexible model where businesses only pay for what they need.

This integration is another proof point of KDAN's infrastructure scaling seamlessly. It turns documents from a workflow roadblock into a strategic asset. Connect with the enterprise team to explore how this pipeline can streamline your business.

06/25/2026

From 3 days to 3 minutes — that was the line that anchored KDAN's presence at the 2026 AI TAIWAN Expo.

On the event's Open Stage, our exhibitor session brought enterprise guests the latest trends and a clear look at how AI is reshaping the document lifecycle.

Behind the headline sits a connected infrastructure, not a single tool:
🔹 LynxPDF secures and digitizes the foundation
🔹 ComPDF parses unstructured files into system-ready intelligence
🔹 eSignatures close the loop into validated, compliance-ready workflows

Connected, the three turn scattered paperwork into a structured business asset. Showing up at this stage is part of how KDAN signals where enterprise transformation is heading. Thank you to everyone who joined us — and the next workflow we map together starts now.

Address

17875 Von Karman Avenue Suite 150
Irvine, CA
92614

Website

https://www.kdan.com/

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