AI journey · practical systems · catching up

Visit to Nagase Singapore

Catching up with old colleagues · May 2026

Jevin Tan

100% AI-generated — built by OpenClaw AI Agent

01

What Pulled Me Into AI

Started as a pharmacist — trained to spot patterns in data, reactions, outcomes
Realised the analytical mindset translates: drug interactions → data pipelines
The lightbulb: building tools for myself that could help entire industries
Some of you might remember me from Nagase — trading chemicals to building AI systems wasn't that big a leap

02

How I Actually Use AI Day-to-Day

💰

Finance

Automated investment research pipeline, portfolio monitoring & anomaly detection

🏠

Property

Market intelligence — supply/demand, yield trends, risk analysis for Singapore property

💊

Regulatory

HSA drug info queries, GDA dossier automation, ASEAN guideline compliance

"Drinking my own champagne — built these tools for myself first, then productised them"

03

AI-Powered Investment Research

01

Scan

AI infrastructure, earnings, bottlenecks

02

Debate

Bull/bear cases across models

03

Review

Moat, quality, downside checks

04

Alert

Scheduled summaries to Telegram

AI infrastructure: semiconductors, materials, electronics

🔗 Nagase connection: Similar to TABRITO — turning messy supply / market signals into structured, always-on intelligence

04

Property Market Intelligence

Agents track supply, demand, yields, transactions and policy signals
Every insight shows source, timestamp and confidence
Telegram alerts — no dashboard-hunting

🔗 Nagase Vietnam connection: Office teams building bots = AI in the hands of non-technical users

Nagase Vietnam digital transformation article visual

Nagase Vietnam DX journey — 44 RPA bots, practical automation by office teams

05

Pharmaceutical Regulatory AI

01

Question

Drug info, G6PD, DDI, dossier gap

02

Retrieve

HSA, MOH, Poisons Act, ICH, ASEAN

03

Check

Checklist, f2, stability, ACTD structure

04

Draft

Evidence-linked answer or gap memo

🔗 Nagase Healthcare & Pharma: Pharmacy domain knowledge + AI workflow = faster ASEAN regulatory review

06

🏆 1st Place — PAN-SEA AI Developer Challenge 2025

SIMIS.AI — What We Built

AI Singapore + AngelHack competition, Healthcare Track winner
Computer vision for medical device guidance — real-time identification & usage instructions
Demoed across healthcare, tourism and logistics
Current focus: childcare CCTV safety monitoring

SIMIS video intelligence platform visual

SIMIS turns passive CCTV into searchable, privacy-first video intelligence

07

How It Works

📹

CCTV Cameras

Existing infrastructure

➡️

💻

Edge Device

On-premise, privacy-first

➡️

🧠

AI Models

SEA-LION multilingual

➡️

🚨

Alerts

Real-time analytics

Open-source models — no vendor lock-in, multilingual support
On-premise edge deployment for privacy-sensitive environments
Real-time video analytics with configurable alert thresholds

08

ClawOne — Your Private AI Box

📦

ClawOne Box

On-premise hardware

➡️

🤖

Multi-Model AI

Plan → Execute → Review

➡️

📱

Insights on-the-go

➡️

👤

Property Agent

Actionable next steps

Plug-in box — pre-flashed OS, auto-updating, zero config. Power + WiFi = live
Source-aware: every insight shows data source, timestamp, confidence level
Privacy-first: customer-owned hardware, signed updates, no standing remote access

🔗 Nagase connection: Like your Vietnam team's RPA journey — putting AI directly in front of end-users, not just IT teams

Innovation layer: AI as an always-on assistant

09

Why ClawOne — Why Now

$1.35

OpenAI loses per
$1 earned on inference

30–50%

Projected API price
increase at normalisation

3.3%

Gap: top open vs
closed model (Stanford)

VC subsidies are burning off — OpenAI projected to lose $14B in 2026. Anthropic burns 70¢ of every dollar. Token pricing will correct upward.
Open-source is ready — 62.8% of all AI models are open-source. $50B+ market by 2030. Performance gap is negligible.
Beachhead: Property & Insurance agents — Missing 30% of business from unanswered calls. Spending 4–8 hrs on single lease abstractions. Not technical. Need plug-and-play.

🔑 ClawOne positioning: Fixed-cost on-prem box. Data stays with you. No IT knowledge required. Works on Telegram/WhatsApp from day one.

10

Bizelev8 — Practical AI Deployments

01

Script

Interview content + localisation

02

Generate

Avatar, voice, subtitles

03

Review

Human QA before release

04

Deploy

Learner-facing outcome

HeyGenOpenAIAnthropicElevenLabs

"Not selling AI — selling outcomes"

From experiment → repeatable workflow

11

I Did Some Homework on You Too

TABRITO

Supply chain analytics

Materials Informatics

AI-assisted R&D

NAGASE DX

Delivering next

Nagase Vietnam

44 bots · 2,000 hrs/year

Azure OpenAI

Nagase Brothers education tools

¥15B

DX Investment
(2023–2025)

44

RPA Bots
(Nagase Vietnam)

2,000

Hours/Year Saved

Supply chain + materials intelligence

Materials science + future-facing R&D

12

Where Our Worlds Might Intersect

Regulatory AI for Healthcare & Pharma (ASEAN) Computer Vision for Quality Inspection AI Agent Workflows for New Verticals Knowledge Sharing — Your Vietnam DX Journey

Not here to sell — genuinely excited about what both sides are building.

jevin@simis.app · Jevin Tan on LinkedIn · simis.ai

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