Kuala Lumpur, Malaysia
AI that holds up
under production conditions
Wira Intelligence works with Malaysian organisations whose AI work has passed proof-of-concept and now needs the engineering attention required to operate reliably at scale.
What We Do
Three focused engagements
Each engagement has a defined scope, a measurable output, and a stated duration. We do not offer open-ended retainers where the deliverable is ambiguous.
Production Engineering for ML Systems
For firms whose ML prototype has demonstrated value but has not yet been built to sustain production load. We examine failure modes, add monitoring and retraining infrastructure, and work alongside your team until the system is maintainable.
- Prototype audit and failure mode analysis
- Monitoring and alerting infrastructure
- Retraining pipeline with evaluation gates
- Typically six to ten weeks
MYR 2,250
Discuss This Engagement
Retrieval and Search Re-engineering
Focused on internal search systems whose quality has degraded or never performed well against business needs. We assess the corpus, rework the retrieval pipeline using current methods, and provide a reproducible measurement framework.
- Corpus and pipeline assessment
- Chunking, embedding, and ranking improvements
- Explicit, reproducible measurement methodology
- One round of post-launch tuning included
MYR 1,180
Discuss This Engagement
Engineering Mentorship for Internal Teams
A standing arrangement for engineering and data teams taking on AI responsibilities without a senior AI counterpart. Weekly structured review sessions, ad-hoc technical availability, and quarterly written assessments.
- Weekly structured work review
- Ad-hoc availability for technical questions
- Quarterly written progress reviews
- Initial six-month term, renewable
MYR 590 / month
Discuss This EngagementHow We Differ
What shapes the way we work
Defined scope, not open-ended
Every engagement has a written scope document before work begins. Neither party is guessing what success means at the end.
Measurement is part of the work
We do not deliver improvements that cannot be verified. Evaluation methodology is always an explicit output, not an afterthought.
Your team retains the knowledge
We work alongside your engineers, not instead of them. The goal is a system your team can own and operate when the engagement ends.
Honest about what AI cannot do
We describe capabilities and limitations in concrete terms. We do not inflate expectations or make claims that depend on conditions unlikely to hold in your environment.
Malaysia-based, regionally aware
We understand the operational context of Malaysian firms — infrastructure constraints, procurement cycles, and the mixed-language data environments common in the region.
Documentation is a deliverable
Every engagement produces written documentation covering design decisions, known limitations, and operational guidance. Systems without documentation are not finished systems.
Common Questions
Frequently asked questions
What does "production-ready" mean in practice?
How do engagements start?
We are not sure which engagement fits — can you help us decide?
How are the prices structured?
Do you work with teams that have no prior AI engineering experience?
What happens to our data and intellectual property?
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