Enterprise automation that runs itself
We build AI systems that replace manual work. Faster than your team, cheaper than a hire, reliable enough to leave overnight.
What We Do
We identify high-friction workflows in finance, investment management, and education — then build AI-powered systems that handle them automatically. Three ventures. One engineering standard.
How We Work
Discovery
We map your current workflow — where the friction is, what breaks, and what "done" actually looks like. No assumptions, just observation.
Build
We engineer the system. AI-powered, inside your firewall, designed to run without hand-holding. You see working software within weeks, not months.
Deploy
We integrate with your existing stack, train your team, and hand over the keys. The system runs itself — we monitor for the first 30 days.
Maintain
Continuous monitoring, iteration, and improvement. Systems evolve with your business — this is where we earn our keep.
What We Build
Finance Automation
Enterprises still process quarterly reports manually across multiple spreadsheets. Finance teams spend weeks a month reconciling billing data. We replace that with systems that run overnight.
- Quarterly report processing
- Finance workflow automation
- Data pipeline engineering
Investment Infrastructure
Family offices manage multi-asset portfolios across disconnected platforms. Reconciliation is manual. Risk reporting is retrospective. We build unified systems that actually help you think.
- Private fund data platforms
- Investment decision tools
- Custom reporting systems
AI Education
Most AI training teaches theory, not practice. Corporate workshops end with slides. Youth programs teach prompts, not systems thinking. We run programs that leave people with working prototypes.
- 5-day AI bootcamps
- Corporate workshops
- S.P.E.A.R. pedagogy framework
Why AI Automation Matters Now
The automation landscape has shifted. What required enterprise budgets and six-month implementations can now be deployed in weeks with modern AI systems. For finance teams, investment professionals, and operations leaders in Singapore, this isn't about keeping up with technology — it's about capturing the productivity gap while competitors are still evaluating vendors.
Weeks → Hours
Finance teams spend 2-3 weeks per quarter on reporting cycles that should take hours. We automate the entire pipeline: data aggregation, narrative generation, compliance checking. Overnight instead of overtime.
5 Platforms → 1
Family offices track portfolios across disconnected platforms. Unified intelligence portals surface insights in minutes. Real-time data, natural language query, retrospective risk reporting that actually helps you think.
24/7 Reliability
AI systems don't take leave, don't sleep, and improve with every iteration. For Singapore businesses operating with tight margins and high talent costs, the ROI timeline is measured in months, not years.
Capability Multiplication
The real advantage isn't cost reduction. Quarterly reports generate themselves. Portfolio queries return answers in minutes instead of days. Document processing happens while you sleep. Your team focuses on thinking and relationships.
Singapore-Specific Challenges We Solve
Singapore's regulatory environment demands precision. MAS compliance requirements for data residency, audit trails, and maker-checker controls aren't optional — they're the baseline. Most off-the-shelf AI tools from overseas vendors don't meet these standards. We build systems that do.
Data Sovereignty
Sensitive financial data stays in Singapore. Our hybrid architecture uses cloud infrastructure for the web layer with local LLM inference — your documents never leave the premise. This isn't a feature we add, it's how we design every system from day one.
Multi-Market Complexity
Southeast Asian businesses operate across borders with different fiscal years, reporting standards, and languages. Thai Baht with USD disclosures. Vietnamese market data requiring local-language processing. Our systems handle this natively.
Legacy System Integration
Many Singapore enterprises run on systems that predate modern APIs. Spreadsheet workflows, email-driven approvals, PDF-heavy document chains. We don't rip and replace — we layer AI automation on top of what you already use.
Talent Constraints
Singapore's tight labor market means hiring for specialized finance or operations roles takes months. Automation deploys in weeks. For family offices and SMEs that can't compete with bank salary bands, this is the difference between growing and staying flat.
Common Challenges We Solve
Quarterly reporting takes weeks
Finance teams compile data from multiple sources, draft MD&A narratives, and cross-check figures manually. We automate the entire cycle: data aggregation, narrative generation, compliance checking. What took 2-3 weeks now runs overnight.
Portfolio data trapped in silos
Family offices track investments across fund administrator portals, legacy ledgers, and spreadsheet trackers. Reconciliation is manual, risk reporting is retrospective. We build unified intelligence portals with real-time data and natural language query.
Document processing bottlenecks
PDF statements, scanned invoices, email attachments — all require manual data entry. Our AI systems process documents using OCR, extract structured data, and generate pre-filled drafts for review. 90%+ field accuracy, fraction of the time.
Competitor intelligence gaps
Tracking competitor performance across markets requires constant manual monitoring. We build automated intelligence pipelines that pull financial data, news, and market movements, compiling regular reports without human intervention.
Maker-checker friction
Compliance requires dual controls, but manual approval workflows create delays. Our systems embed maker-checker directly into the platform — data entry and approval happen in the same workflow with full audit trails.
AI adoption without the risk
Teams want to use AI but can't justify sending sensitive data to public APIs. We deploy local LLMs on your infrastructure — same capabilities, zero data leakage. MAS-compliant by design.
Our Systems in Action
Relationships
Who We Are
We're a two-person core. That's intentional — small enough to move fast, experienced enough to know when to say no. We partner with specialists for delivery and keep the overhead low so we can invest in engineering quality.
Leon Oh
Systems ArchitectSystems architect. Builds the automation engines that run behind the scenes. Former finance practitioner who got tired of watching people do manual work.
Dang Luong
Senior EngineerFull-stack engineer. Turns Leon's system designs into working software. Focuses on reliability — the systems we build need to run without hand-holding.