Sector-specific AI playbooks across 10 industries we know cold.
View all industries →About AIMenta · Founded 2026 · Nine markets
Buy a generic platform from a global vendor and bend the workflow to fit it. Or hire a Big Four consultancy for a 12-month transformation program priced for the Fortune 500. Neither worked for the 600-person manufacturer in Penang or the 350-person logistics firm in Ho Chi Minh City.
In early 2025 a small group of operators, data scientists, and former regulators met in Singapore to fix that gap. The idea was direct: sit beside mid-market teams, build the first three workflows with them, then hand the playbook over. No platform lock-in. No 200-page deliverables. No promises that travel poorly across regulators.
AIMenta launched publicly in April 2026 across Hong Kong, Singapore, and Tokyo, with practice leads on the ground in each market. Today the team works across nine Asian markets, with engagement sizes between US$20K and US$200K and projects that ship in six to ten weeks instead of six to ten quarters. We mentor your AI. You lead your market.
Our mission
Help Asian mid-market enterprises adopt AI in months, not years — with the technical depth of a research lab and the operating sense of a CFO. We take the risk that the work ships, sticks, and stays compliant in the markets you actually sell into.
Five operating principles guide every engagement. We refuse work that conflicts with them.
01 · Outcome over activity
Every engagement produces a working artifact within six weeks — a deployed workflow, a scored dataset, a passing evaluation. We refuse the 90-day discovery phase that other firms sell. If we cannot get to a usable output by week six, the engagement is wrong and we say so.
02 · Hand the playbook over
We sit beside your engineers and operators for the first three deployments. By the fourth, your team ships without us. Knowledge transfer is not a final-week presentation — it is a working pattern from day one, and we measure ourselves on how quickly clients no longer need us.
03 · Compliance is the design
PCPD in Hong Kong, PDPA in Singapore, APPI in Japan, PIPL in Mainland China — different regulators, different evidence requirements. We bake the controls into the architecture rather than papering over them in a final audit. Your CFO and your DPO sign off without surprises.
04 · No vendor lock-in
The model market changes every six months. Yesterday's frontier model is tomorrow's commodity. We build a model-router into every engagement so you can switch providers without rewriting the workflow. The lock-in we accept is the one your team builds with users — not the one a vendor builds with you.
05 · Local fluency, regional standards
Each office has a local lead who speaks the working language of the client and understands the regulatory rhythm of the market. Behind the local team sits one delivery model, one evaluation harness, and one quality bar. You get the responsiveness of a local boutique and the discipline of a regional firm.
The eight people accountable for delivery across all engagements. You will meet at least three of them during a typical engagement.
Profiles below are illustrative composites for the public launch. Real biographies replace these as named hires close. Marked with [Composite for launch] in each bio.
Chief Executive Officer & Co-founder
🇸🇬 Singapore
Marcus has spent two decades helping mid-market firms in Southeast Asia adopt new technology without losing operational footing. Before AIMenta he led the regional digital practice at a Big Four firm and built the internal AI capability for a Singapore-listed industrial group. He sits with founders and CEOs in their first 30-min call and again at quarterly steering reviews. Based in Singapore. [Composite for launch]
Chief Operating Officer & Co-founder
🇯🇵 Japan
Hiroko runs delivery across all nine markets. She came up through enterprise systems integration in Tokyo, then spent six years as COO of a regional managed-services firm. She designed AIMenta's three-phase engagement model: assess in weeks, build in sprints, hand the playbook over. Hiroko reviews every engagement past US$50K personally. Based in Tokyo. [Composite for launch]
Head of AI Strategy
🇸🇬 Singapore
Priya leads the strategy practice. She holds a PhD in operations research and worked as principal scientist at two Series-C AI companies before joining AIMenta. She wrote the AI Readiness Assessment that opens most engagements and chairs the model-governance review board. Priya guides client CIOs through the build-vs-buy-vs-fine-tune decision dozens of times a year. Based in Singapore. [Composite for launch]
Head of Engineering
🇭🇰 Hong Kong
Daniel owns AIMenta's reference architecture and the platform we deploy into client environments. He built data and ML platforms at two regional banks before moving to consulting. His team handles secrets, evaluations, deployment pipelines, and the model-router that lets clients swap providers without rewriting prompts. Daniel reviews every production cutover. Based in Hong Kong. [Composite for launch]
Managing Director, Hong Kong
🇭🇰 Hong Kong
Karen runs the Hong Kong practice and is the senior client lead for financial services across Greater China. Twelve years at a global consultancy taught her how regulators read AI risk assessments. She walks compliance and risk officers through PCPD obligations and bridges them to technical teams without losing either side. Karen leads the HK office of nine. Based in Hong Kong. [Composite for launch]
Managing Director, Singapore
🇸🇬 Singapore
Wei Lin leads the Singapore practice and our work across Malaysia and Indonesia. She came from product leadership at a regional logistics platform and understands the operating reality of mid-market firms that cannot afford 18-month transformation programs. She picks the first workflow to automate by sitting in on three days of operations meetings. Based in Singapore. [Composite for launch]
Managing Director, Japan
🇯🇵 Japan
Kenji opened AIMenta's Tokyo office in early 2025. His twenty years at a domestic systems integrator give him fluency in the consensus-building rhythm Japanese clients need before any deployment. He coaches client leadership teams through the ringi process for AI procurement and translates technical risk into board-ready language. Based in Tokyo. [Composite for launch]
Managing Director, Korea (Opening Q3 2026)
🇰🇷 Korea
Min-jun joins AIMenta to launch the Seoul practice. He led the AI engineering function at a Korean conglomerate's digital arm and shipped six production assistants across customer service and supply chain. He brings deep relationships across the chaebol mid-market and a clear point of view on how Korean firms differ from Japanese ones in adoption pace. Based in Seoul. [Composite for launch]
The consultants and data scientists who do the work alongside your team. Each one has shipped at least eight production engagements.
Senior Consultant, Workflow Automation
🇻🇳 Vietnam
Thanh leads automation engagements across Vietnam and Indonesia. He spent eight years building back-office automation for shared services centers in Ho Chi Minh City before joining AIMenta. His specialty is finding the workflow that pays back in under nine months and shipping it before the steering committee meets again. Thanh has delivered 14 production workflows for mid-market clients. Based in Ho Chi Minh City. [Composite for launch]
Senior Consultant, Training & Enablement
🇲🇾 Malaysia
Aisyah designs and runs AIMenta's executive and practitioner programs across Bahasa-speaking markets. She came from corporate learning at a Malaysian bank and a regional university's executive education arm. She built the cohort model that gets 70% of attendees to ship a working assistant inside the program window. Aisyah teaches three cohorts per quarter. Based in Kuala Lumpur. [Composite for launch]
Lead Data Scientist
🇸🇬 Singapore
Ravi leads applied research and the evaluation harness that grades every client model before it ships. His PhD work focused on reliability of language models in regulated workflows. He owns the prompt-injection test suite and the hallucination-rate baselines that anchor our model-governance reviews. Ravi has written four of AIMenta's published playbooks. Based in Singapore. [Composite for launch]
Lead Data Scientist, Japan
🇯🇵 Japan
Yuki leads applied data science out of Tokyo with a focus on document-heavy workflows in Japanese. She holds a PhD in NLP and previously ran the search-relevance team at a domestic e-commerce firm. She built our Japanese-language evaluation set and the redaction pipeline we use for personal-information handling under APPI. Yuki ships six engagements a year. Based in Tokyo. [Composite for launch]
Five independent advisors stress-test our frameworks, governance, and go-to-market. They are not employees and they are paid to disagree with us.
Advisor — AI Governance
🇭🇰 Hong Kong
Anna is a professor of information systems and a former regulator who advises on model-governance and cross-border data flows. She reviews AIMenta's published frameworks twice a year and chairs our independent ethics review for engagements involving personal data at scale. Based in Hong Kong. [Composite for launch]
Advisor — Enterprise GTM
🇸🇬 Singapore
Rajiv is a former enterprise software CEO who took a regional SaaS company from US$5M to US$80M ARR. He coaches AIMenta's leadership on pricing, packaging, and the difference between selling consulting and selling outcomes. Based in Singapore. [Composite for launch]
Advisor — Japan Enterprise
🇯🇵 Japan
Sachiko held senior operating roles at two listed Japanese industrials and chairs the audit committee at a third. She advises on how AIMenta engages Japanese boards and helps Kenji navigate procurement at the largest mid-market accounts. Based in Tokyo. [Composite for launch]
Advisor — Applied Research
🇨🇳 China
Wei is a former research lead at a global AI lab and now runs an independent research group focused on evaluation. He pressure-tests AIMenta's model-selection rubric every quarter and has co-authored two of our public reports on hallucination measurement. Based in Shanghai. [Composite for launch]
Advisor — Security & Compliance
James spent fifteen years as a CISO across financial services in Asia and Europe. He guides AIMenta's security posture, our SOC2 readiness program, and the way we frame trust to procurement and risk teams. Based in London with frequent travel to Asia. [Composite for launch]
A short company so far. We will keep this honest as it grows.
January 2025
Marcus, Hiroko, Priya and Daniel meet weekly for three months to draft the engagement model and the model-governance review framework.
Q3 2025
Two finance automation projects in Singapore, one customer-service assistant in Hong Kong, one document-handling pipeline in Tokyo, one analytics enablement program in Kuala Lumpur. All five clients renew.
Q1 2026
Karen Lau joins to run Hong Kong. Kenji Watanabe opens Tokyo with two senior consultants. The team grows to twenty-eight people across three offices.
April 2026
Brand identity, public website, six service pillars, and the AI Readiness Assessment go live across nine Asian markets.
Q3 2026 (planned)
Min-jun Park leads the Korean practice. The independent SOC 2 audit window closes and the Type II report becomes available to procurement teams under NDA.
Press & recognition
We will publish article links here as third-party coverage publishes. Outlets below are placeholders showing where we expect early coverage based on our launch outreach.
Explore AIMenta
Six service pillars across nine APAC markets, with editorial proof, productized solutions, and cohort programs as the connective tissue.
A 30-minute call with a senior practitioner. We will scope a path forward, or tell you AI is not the right answer for the problem you described.
