👋Hi, I'm Hansel

Strategy in.Revenue out.AI-Native GTM.

I specialise in 0-1, AI-native GTM - driving from concept to early revenues in new or constantly changing markets where there are no established playbooks. Give me an ambiguous market and a goal, and I will figure out how to get there end-to-end: from strategy, to automation, relationship-building, deal structure, and close.

Select commercial achievements

Led the venture build of an AI-powered Industrial Maintenance Solution with a FTSE 100 precision engineering firm from scratch to first revenues and seed funding within 5 months. Led my team of venture architects to define pain points through customer interviews, prototype solutions, run the entire outbound sales pipeline, secure paid, on-site industrial pilots , recruit permanent founders, and raise the venture's seed round

- Closed pilot contracts for an ESG risk management startup with 2 of Indonesia's state banks totalling S$120K ARR - Secured a biotech startup's first enterprise contract outside of Korea, with Singapore's national research agency worth US$200k

- US3m raised across 2 ventures I built from scratch while at Bain and Wright Partners - US 1m+ raised as GTM & Fundraising lead for a Korean Alternative Credit Scoring Fintech startup entering the SEA market. - US 1m+ term sheet secured from a leading early-stage Singaporean VC for the seed round of an ESG risk assessment startup I worked with as their head of ASEAN BD

Led a team of 3 commercial Venture Architects and 5 product/engineering colleagues to validate the data marketplace concept, build the product, and secure 4 paying customers within a period of 5 months. One of the customers secured was a prominent Government Ministry that signed a multi-year contract with the venture.

Key Skills

Commercial Strategist

Validating hypotheses and setting commercial direction through data-driven means. Skilled at defining pain points, WTP, ICPs and customer segments, and GTM & monetisation strategies.

B2B Sales (New Account Acquisition)

Independently own or lead sales teams to create, qualify, and close leads from scratch and maintain sales pipelines.

GTM Engineering

Integrating relevant tooling and building custom AI solutions for precise automation of commercial workflows including lead-generation & management, customer research, proposal-building, and deal structuring

Select Works and Case Studies.

Things I have built, launched, or figured out

AI-Native GTM Tool

Built and integrated a custom AI lead-gen system for a mining exploration tech company. It scans and scores 1,000+ mining companies on a bunch of custom and fully auditable "early adopter" signals to identify the exact individuals within the top 25 companies to target. Strong new signals surfaced daily and automatically converted into personalised outreach materials.

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Situation

A quantum sensing startup needed to sell into a market of 1,000+ ASX-listed mining companies with a tiny BD team and no existing GTM motion. Off-the-shelf tools like Clay could not identify the signals that actually matter in deep-tech (eg. geology-specific intent buried in 60-page quarterly filings that no vendor's data model captures).

What I Did

Designed and built a full AI-native BD pipeline solo. Created a custom signal taxonomy with 10 weighted company-level signals and 5 individual-level signals, each linked back to a primary-source PDF scraped through ASX API. Built a scoring formula with recency decay, stacking bonuses, and distress overrides. Added a people intelligence layer to surface the 3 to 5 humans most likely to champion the technology inside each company. Wired the system to push daily high-signal alerts directly to the BD team's chat with outreach angles prepared.

What Happened

Live system running. Top 25 companies re-scored daily. First champion identified per target company with a clear contact rationale. Full evidence trail linking every signal back to a source PDF. The BD team goes into every outreach knowing exactly who to contact, why, and what to say.

Solo BuildWIPAI-Native GTM

0 to 1 Venture Build

Led a team of 4 Venture Architects to take a blank-page corporate venture mandate from a FTSE 100 industrial partner to a signed US$150k+ paid SME contract and US$1m+ committed seed capital — in under 5 months.

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Situation

A FTSE 100 industrial partner came to Wright Partners with a blank-page mandate to build a new venture in the industrial space across Southeast Asia. No problem defined, no product, no team, no customers — just capital and a willingness to back something that worked. The opening had to be found, validated, sold, and staffed from zero.

What I Did

Ran the venture as a systematic sequence of falsifiable hypotheses across desirability, feasibility, and viability. Led 70+ stakeholder interviews across F&B, O&G, Power, Chemicals, and Pharma to triangulate the pain (technician tribal knowledge lost to turnover, downtime costing millions). Personally ran every outbound sales call to surface objections and refine the GTM, cutting batch manufacturing from scope based on live signal. Flew to Manila for a 3-day on-site pilot — shadowed technicians, fed 600+ pages of plant literature into the prototype, and ran live AI recommendations against real breakdowns that senior engineers validated as on par with their own. Built a multilingual voice-guided case logger as a custom GPT and used it live in sales demos. Sourced, screened, and negotiated with 60+ founder candidates to onboard the final technical and commercial co-founders.

What Happened

US$150k+ paid contract signed pre-product with a Philippines packaging manufacturer across all 5 of their factories. US$1m+ seed committed by the FTSE 100 corporate partner. Technical Founder (PhD in AI/IoT, previously raised US$13m+) and Commercial Founder (3-time founder, 2 verifiable exits, active SEA VC network) onboarded. The CEO and plant manager explicitly cited the live on-site demo on real machine breakdowns as the reason they signed.

Wright Partners0→1 Venture BuildIndustrial AI

Get to know me better through Video

How I hacked my way into an SMB contract, pre-product for an AI-powered industrial maintenance venture

GTM Engineering Demo - How I built an AI BD tool for a mining exploration tech company on Zo Computer

My commercial principles:

Structure helps create sustainable speed

People buy solutions to real pains, not products

Human trust and authenticity cannot be automated, everything else should be

Optimise for learning - a no with a clear why is as valuable as a yes

My Professional Journey.

What I'm Looking For.

In case it helps us both save time.

I am looking for great AI-native teams to join as GTM Lead, Commercial Generalist, or COS-type roles. I work best where the team recognises that the playbook is not set in stone and likely requires substantial adaptation.  I work best when the problem is hard, the market is new, and there is no established  playbook to follow. If that sounds like your company, let's talk!