In this interview, e27 speaks with Dennis Yap, Founder of AI Seer, an AI venture focused on building systems that prioritise verifiable truth, traceability, and transparency in an increasingly noisy information landscape. As generative AI accelerates content production across social platforms, AI Seer positions itself around verification rather than generation, aiming to help organisations and individuals navigate misinformation more confidently.

This conversation forms part of e27’s broader AI Pulse coverage, which examines how organisations across the region are building, deploying, and governing AI in real-world settings.

Designing truth-seeking AI

e27: Briefly describe what your organisation does, and where AI plays a meaningful role in your work or offering.

Dennis: We create truth-seeking AIs, including a patented Multi-spectral Reality Detector and our bot @ArAIstotle which has a growing presence on Crypto Twitter has unique granular fact checking capabilities which is required for multimedia or long-form content on X unlike @grok for example. We’re also at least 3X less inaccurate than any other AI Search when it comes to news citations and provide fully transparent and traceable reasoning from credible sources.

Debunking misinformation in practice

e27: What is one concrete way AI is currently creating value within your organisation or for your users or customers?

Dennis: We help debunk fake news that are used in pump and dump scams on crypto twitter. See the post that @ArAIstotle is factchecking here as an example.

Protecting innovation

e27: What was a key decision or trade-off you had to make when adopting, building, or scaling AI?

Dennis: When to patent our AI inventions vs the costs of doing so.

Also read: AI Pulse Exclusive: How Asia AI Association is advancing human-centred AI across the region

What surprised us

e27: Looking back, what has worked better than expected, and what proved more challenging than anticipated?

Dennis: Our X bot gaining followers was easier than expected after launching our token. Raising from the local SEA startup ecosystem has been more challenging than anticipated after ZIRP especially.

Adoption challenges

e27: What is one lesson about applying AI in real-world settings that leaders or founders often underestimate?

Dennis: Operations buy-in as people are very used to their existing workflows.

Practical advice for AI adoption

e27: Based on your experience, what is one practical recommendation you would give to organisations that are just starting to explore or scale AI?

Dennis: Start small with explorations and use sandbox environments for testing. Look beyond LLMs, to other forms of AI that can help contain the randomness of LLMs.

Also read: AI Pulse Exclusive: How GenAI Fund is accelerating enterprise AI adoption across Southeast Asia

Looking ahead

e27: Over the next 12 months, how do you expect your organisation’s use of AI, or the role of AI in your industry, to evolve?

Dennis: We expect to continue trying new AIs and integrating them into our workflows, especially for coding.

Final thoughts

e27: Anything else you want to share with the audience?

Dennis: There are other frontier tech that can increase human productivity aside from AI, I am getting healthier through red light therapy for example and you can factcheck some claims about it here.

Building trust in the AI era

This conversation highlights a growing emphasis on transparency, verification, and trust as AI adoption accelerates. As generative technologies expand content creation, initiatives focused on fact-checking and traceability are becoming increasingly important in maintaining confidence in digital information environments.

For more interviews, analysis, and real-world perspectives on how organisations across the region are applying AI in practice, explore more AI stories here.

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Featured Image Credit: AI Seer

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