Singapore · ASEAN · Founded 2012

Trusted Intelligence.
In Production.

Imagine your AI deployed. Models in production delivering value. Your team trained and confident. Systems compliant and healthy. ROI realized and improved margins. Competitors wondering how you moved so fast.

That's production-ready intelligence. In 6 months. Built on trust.

Time to production
6 months
Investment
$165K–$325K
Typical return
~82x
Payback
3–8 weeks

ASEAN enterprises will spend $875M on AI this year. Eighty-five percent of it will not deliver ROI. We are the transformation partner for the eighty-five percent.

$875M
ASEAN enterprise AI spend
85%
Failure or underperformance rate
$740M
Misallocated investment per year
5
ASEAN markets in scope

Every stalled AI program is failing at the same five things.

These are not separate issues you can solve independently. They compound. They trap you. Fix one in isolation and the other four make it worse. The only path forward is solving all five at once, with someone who has done it before.

01
Models die in development.Built on a laptop. Stuck there. No one owns the path from notebook to production.
02
Data operations collapse.Twenty systems. Different definitions. Cleaning takes three weeks. Analysis takes one.
03
The team cannot scale.One data scientist. Drowning. ASEAN has no bench. Hiring takes eighteen months. They leave after fourteen.
04
Compliance is uncertain.PDPA in Singapore, Malaysia, Thailand. Residency in Indonesia. Legal is nervous. You move slowly.
05
Value is unmeasured.Even the model that shipped, you cannot prove what it did. The board stops funding.

Three phases. Six months to a working model. Then you own it.

We do not replace your team. We enable it. We do not outsource AI. We teach you to run it. We do not take eighteen months. We deliver in six. The phases below solve all five problems simultaneously, not sequentially. Skip the simultaneity and the problems compound back.

01PHASE
Assessment

Four weeks to a clear-eyed picture of reality. We look at your data, your compliance exposure, your team, and your models. You leave Phase 1 with a roadmap that names what happens, when, and what it will be worth. Not optimistic. Not pessimistic. Accurate.

4 weeks $15K–$25K Reality check
  • Data landscape and quality audit
  • Compliance exposure review (PDPA, residency, cyber)
  • Team capability and bench analysis
  • Model portfolio triage
  • Six-month roadmap with outcomes
02PHASE
Delivery

Twenty-two weeks. We fix data operations, build the deployment infrastructure, ship the first model into production, hire and train two to three people onto your team, stand up monitoring, and prove the ROI in dollars. All five problems solved at once. You leave with a working model and a team that can build the next one.

22 weeks · ~5 months $150K–$300K Working model live
  • Data operations: 80% less cleaning time
  • Production deployment pipeline
  • First model live and generating revenue
  • Team grown by 2–3 trained engineers
  • Monitoring and incident response
  • Compliance infrastructure (PDPA-ready)
  • Value measurement system
03PHASE
Scale

Month seven onward. You build the next models. We advise when you want us, mentor your team where it helps, and stay on call. By month twelve you have four to five models in production, your team is independent, and Reinven is optional. That is the design.

Ongoing Advisory rate You own it
  • Advisory on next model selection
  • Mentorship for your team leads
  • MLOps health checks
  • Compliance maintenance
  • You build 5–10 models without us

$245K invested. $20M created. Payback in weeks.

Built for every organization with the ambition to lead, not just regulated incumbents. The math holds across verticals because the five problems are the same wherever AI is being attempted at enterprise scale. Compare your alternatives.

Dimension
Hire internal team
Big 4 consulting
Do it yourself
Reinven
Cost
~$2M / year
$3M–$5M
Your team's time
$165K–$325K total
Timeline to value
18 months to ramp
12–18 months
6–12 months, often longer
6 months to a working model
Knowledge afterwards
Stays, if they stay
Walks out the door
Learned the hard way
Yours, built deliberately
Ongoing dependency
Low (if retained)
High
None
None. You can stop us anytime.
Regional fit
Constrained by talent market
Global brand, regional teams
Yours
ASEAN-native, regulator-fluent

Three reasons. Each one is the reason most alternatives fail.

Consultants come, build, leave. Platforms hand you a tool and a manual. Hiring takes eighteen months in a region with no bench. Each of those approaches fails at the same things. Here is what we do differently.

REASON 01

We are not consultants. We teach you as we build.

Consultants own the outcome while they are with you. You own it after they leave, and you do not know how to run what they built. We come in, build alongside your team, and structure every week around capability transfer. By the time we leave, your engineers can extend and maintain the whole system without us.

REASON 02

We solve all five problems at once.

Most vendors solve one piece. Data platforms give you tools. Model builders give you models. Hiring firms find people. Compliance auditors give you findings. None of them gets you to a working model with measured ROI, because the five problems are interconnected. We orchestrate all five simultaneously because there is no other way it works.

REASON 03

Built for ASEAN, not parachuted in.

Singapore-based, with team across Malaysia, Thailand, Indonesia, and Vietnam. We know PDPA in each jurisdiction, residency rules in Indonesia, cybersecurity law in Vietnam. We know what the talent market actually pays and where to find the people who stay. We know because we live here.

There is a window. It is closing.

The case for moving in twelve months is weaker than the case for moving now. Three reasons converge into a single answer.

DRIVER 01

Data protection laws are real.

Singapore: enforced. Malaysia: enforcement accelerating. Thailand: rolled out. Indonesia: residency rules with real cost. Vietnam: cybersecurity rules that change how data is handled. Building compliance into the foundation takes weeks. Retrofitting it after you have shipped takes months and adds risk.

DRIVER 02

The talent window is closing.

ASEAN has roughly fifty experienced data engineers available across the entire region at any moment. Hiring from that bench takes eighteen months. In another twelve months the people you could hire now are already committed. The faster move is not to hire harder. It is to build capability with the people you already have.

DRIVER 03

The gap between winners and losers is opening.

ASEAN enterprises will spend $500M+ on AI this year. Seventy percent of it will produce nothing. The thirty percent that ships will pull away meaningfully on customer analytics, fraud, demand forecasting, and operational efficiency. In twelve months the winners will have five to ten models in production and the rest will still have notebooks. You can choose which group you are in. You cannot choose it later.

Let's talk. No pitch.

If any of the five problems sound like yours, send us fifteen minutes. We will give you a direct read on your situation and tell you whether a Phase 1 assessment is the right move. If it is not, we will say so.