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// DAMAI LOGIC — KUALA LUMPUR

Machine Learning That Serves Operating Businesses

We build forecasting systems, anomaly detectors, and deliver structured learning programmes for senior technical staff. The scope is narrow by design; the results are measured against honest baselines.

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+60 3-9145 8736 [email protected] Kuala Lumpur, MY
// SERVICES

Three Focused Engagements

Each engagement has a defined scope, a concrete deliverable, and a stated method for measuring whether it worked.

Forecasting System Build
SVC-01 / FORECASTING

Forecasting System Build

An eight-to-ten week engagement for businesses with recurring forecasting needs — demand, capacity, or cash position. We examine your historical data, build and evaluate models against honest baselines, and deliver a system your operations team can run without us.

  • Uncertainty intervals included, not hidden
  • Operations-ready deliverable
  • Evaluated against pre-agreed baselines
MYR 2,090
Enquire
Anomaly Detection for Operations
SVC-02 / ANOMALY DETECTION

Anomaly Detection for Operations

A focused build for operations producing routine data streams — manufacturing outputs, transaction logs, infrastructure telemetry. We define what counts as anomalous, build the detection logic, and tune it against historical incidents. The false-positive rate is documented.

  • Defined with your operations team
  • Documented false-positive rate
  • Working alerting system as output
MYR 1,360
Enquire
Reading Group on Current Methods
SVC-03 / EDUCATION

Reading Group on Current Methods

A six-session programme at your premises for senior technical staff — engineering leads and architects who want a structured introduction to current machine learning methods. Sessions cover embedding spaces, fine-tuning, retrieval-augmented generation, evaluation, deployment, and governance.

  • Pre-reading provided per session
  • Led by a member of our team
  • Conducted at client's premises
MYR 480
Enquire
// WHY DAMAI LOGIC

What We Do Differently

Defined Scope, Every Time

We don't begin an engagement without a written description of what it will produce. If the scope changes, we say so and agree on how to proceed.

Honest Baseline Comparisons

Models are evaluated against simple baselines — a seasonal average, a rule-based threshold. A model that doesn't improve on the baseline is not a useful model.

Deliverables Your Team Can Operate

The output of a build engagement is a system your people can run. We document the maintenance requirements, the expected failure modes, and how to retrain when needed.

Stated Uncertainty

Forecasts come with uncertainty intervals. Anomaly detectors come with a documented false-positive rate. We do not present outputs as more precise than they are.

No Unnecessary Complexity

We choose the simplest approach that meets the requirement. More complex models are only introduced when simpler ones demonstrably fall short.

Education Grounded in Practice

The reading group covers methods that are in production use, not speculative futures. Discussion is led by practitioners, not trainers reciting slides.

// NEXT STEP

Does Your Business Have a Forecasting or Detection Need?

If you have a recurring operational question that historical data could help answer, we can discuss whether a quantitative approach makes sense — and what it would realistically involve.

Book a Discussion See Our Approach
+60 3-9145 8736 [email protected]
// FAQ

Common Questions

What kind of data do we need before starting a forecasting engagement?
For most forecasting work we look for at least one full seasonal cycle of historical observations — often twelve to twenty-four months of weekly or daily records, depending on the forecast horizon. The data doesn't need to be clean before we start; assessing and preparing it is part of the engagement. What matters is that it was recorded consistently and that the business question behind it is clearly stated.
How do you decide whether a machine learning model is better than a simpler method?
We evaluate every model against a baseline — typically a naive seasonal average or a moving average, depending on the problem. If the model doesn't improve on that baseline by a meaningful margin on held-out data, we report that clearly and either adjust the approach or recommend not proceeding. We don't deliver models that don't earn their complexity.
Can our internal team maintain the system after the engagement ends?
That is a primary design goal. Deliverables include documentation covering the data pipeline, the model retraining process, how to interpret the outputs, and what to watch for when performance degrades. We size the technical requirements to what a typical operations or data team can handle without specialised ML expertise.
What does the Reading Group engagement cover, and who is it for?
It runs over six sessions, typically fortnightly, and is designed for engineering leads and architects who already have a technical background but haven't worked closely with machine learning methods. Topics include embedding spaces, fine-tuning language models, retrieval-augmented generation, evaluation methodology, deployment patterns, and governance considerations. Each session has pre-reading, and discussion is practitioner-led rather than lecture-style.
How is pricing structured, and are there additional costs?
Prices are fixed per engagement: MYR 2,090 for the Forecasting System Build, MYR 1,360 for Anomaly Detection, and MYR 480 for the Reading Group. Cloud infrastructure or compute costs, if any, are separate and agreed in advance. There are no success fees or variable pricing — the scope and cost are agreed before work begins.
Do you work with businesses outside Kuala Lumpur?
The Forecasting and Anomaly Detection engagements can be conducted largely remotely, with on-site working sessions arranged when needed. The Reading Group is conducted at the client's premises — we travel to locations within Peninsular Malaysia and will discuss arrangements for Sabah and Sarawak individually.
// LOCATION

Our Office in Kuala Lumpur

// CONTACT

Get in Touch

CONTACT DETAILS

Damai Logic

Address
42, Jalan Tasik Selatan
57000 Kuala Lumpur
Wilayah Persekutuan, Malaysia
Working Hours
Mon – Fri: 09:00 – 18:00
Sat: 09:00 – 13:00
Sun & Public Holidays: Closed
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