A pharma AI company,
built by scientists.

Started as an NUS PhD project on molecular data quality. Now an AI company for the pharmaceutical industry, serving teams across Asia-Pacific.

Mission

AI drug discovery is not held back by algorithms. It is held back by data.

We build proprietary, domain-specific data cleaning so pharma teams get reliable, reproducible results from their AI — and reach patients sooner.

Vision

The data quality standard for pharma.

Every pharma AI model built on clean, standardised data — with Lead AI as the layer it passes through first.

From lab to market.

2023

Where it started

Academic research on AI data quality begins at the National University of Singapore.

2025

From lab to market

Company founded, first industry clients onboarded.

2025

Real-world validation

Partnerships with GovTech Singapore, Baiya Phytopharm and MPS Thailand.

2026

Scaling out

JLABS and PRIME STeP programmes, plus commercial expansion across Asia-Pacific.

Lead AI brand mark

Our team

Scientists fluent in computational chemistry, data science and AI — with careers inside pharma R&D and quality, not beside it.

Mohammad Firdaus Akmal

CEO & Chief Scientist

PhD candidate at NUS. Inventor of Selective Cleaning. Published researcher.

Verdo

Chief Operating Officer

Master of Venture Creation at NUS. Leads commercial strategy and operations.

Prof. Richard Wong

Scientific Advisor

Senior researcher at NUS. Global citation index of 100,000+. Provides scientific oversight.

Want to work with us — or for us?

We're hiring scientists and engineers in Singapore and Indonesia — and always up for a hard data problem.

Bring your challenge.
Let’s find the right next step.

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