What makes the difference
in practice
The gap between a vendor who can build a model and one who delivers something production-ready and maintainable is significant. These are the things that matter in real engagements.
Back to HomeCore advantages across every engagement
Scoped before any work begins
A written scope document precedes every project. It defines what's being built, the success criteria, timeline, and cost — agreed by both sides before we start.
Works inside your existing infrastructure
We adapt to your cloud environment — AWS, GCP, or Azure — and your development toolchain. We don't ask you to rebuild your stack to accommodate our preferences.
Knowledge transfer included
Documentation and a handover session are part of every delivery. Your team should be able to operate and maintain what we've built without requiring us to remain involved.
Data protected by NDA
We sign a mutual NDA before any data is shared. Client data is retained only for the duration of the engagement and deleted on delivery unless you arrange otherwise.
Post-delivery support window
Thirty days after handover, we address issues arising from the work we've done. You're not left alone with a system you've just received.
Regional understanding
Based in Kuala Lumpur, with experience across Malaysian and Southeast Asian supply chains, platforms, and engineering environments. Not a generic global template.
Each benefit explained
Expertise in production ML
The team at Thoughtium has worked with ML systems in operating environments — not just in research or evaluation. That means we think about deployment, monitoring, and failure modes from the start of a project, not as an afterthought at the end.
- Hands-on experience across supply chain, NLP, and MLOps domains
- Familiarity with AWS, GCP, and Azure deployment environments
- Prior engagements with logistics, retail, platform, and software firms
Current tooling, applied practically
We use current ML frameworks and infrastructure tooling, but we select based on what fits the problem — not what's recently gained attention. The measure is whether it works reliably in your environment, not whether it appears in a trends report.
- Constraint-based optimisation and ML approaches for supply chain
- Containerised model serving with monitoring and alerting built in
- CI/CD pipelines for model code using tooling compatible with your development workflow
Communication that doesn't require chasing
We maintain regular check-ins throughout an engagement and communicate proactively if something changes — whether that's a timeline, a technical finding that affects scope, or an issue we've identified. You won't need to send a status request to know what's happening.
- Scheduled check-ins at meaningful project milestones
- Written progress summaries after each phase
- One business day response time for questions during active engagements
Pricing that reflects actual scope
Our listed prices represent a starting point for a typical engagement. Complex data situations or extended scope will be priced separately, clearly, and before any work begins. We don't price at a low entry point only to increase costs through change requests mid-project.
- MYR 3,300 – 7,800 depending on service type and scope
- All pricing agreed in the scope document before work begins
- 30-day post-delivery support included at no additional cost
Deliverables that operate, not just demonstrate
The output of every engagement is something that runs in your environment — a model in a serving container, a pipeline integrated with your CI system, a simulation environment with documented configurations. We measure completion by operational status, not by a demo that performs well in isolation.
- Evaluation results documented before delivery is considered complete
- All artefacts version-controlled and transferred to client repositories
- Monitoring and alerting configured as part of MLOps and deployment work
How we compare to typical AI service providers
These are patterns we've encountered and the approach we take in contrast.
| Area | Typical providers | Thoughtium |
|---|---|---|
| Project scope | Loose brief, defined as work progresses | Written scope document before work begins |
| Pricing transparency | Low quoted price, costs increase through change requests | Full price agreed in scope document |
| Stack compatibility | Requires adoption of vendor tooling | Adapts to your existing cloud and tools |
| Post-delivery support | Additional contract required for any support | 30 days included with every project |
| Documentation | Minimal or absent; knowledge held by vendor | Full documentation delivered with project |
| Data handling | Unclear retention policies | NDA + deletion after delivery |
| Regional context | Generic frameworks applied without local adaptation | KL-based, regional experience built in |
Distinctive aspects of how we work
We'll decline work that isn't feasible
If your data environment, timeline, or problem definition makes a project unlikely to produce a useful outcome, we'll tell you before any contract is signed. Taking on work we can't do well isn't something we're willing to do.
Human-in-the-loop workflows for moderation
Content moderation systems need escalation paths, not just classifiers. We design and configure human review workflows alongside the model, including confidence threshold tuning to minimise unnecessary escalation volume.
Simulation environment as a supply chain deliverable
Supply chain optimisation engagements include a simulation environment — not just a set of recommendations. You can test configurations, evaluate trade-offs, and explore scenarios independently after the project ends.
Notebook-to-production transition for engineering teams
The MLOps service is specifically designed for teams that have ML capability in notebooks but lack the infrastructure to move models to production reliably. We bridge that gap without requiring your team to become DevOps specialists.
Numbers that reflect the work
40+
Completed ML engagements
6+
Years of team ML experience
3
Cloud platforms supported
30
Days post-delivery support included
PDPA 2010 Compliant
Malaysia Personal Data Protection Act
MDeC Digital Services Member
Multimedia Development Corporation
PIKOM Technology Affiliate
ICT Industry Association of Malaysia
See how this applies to your situation
A scoping conversation takes about an hour. Bring your problem — we'll be direct about whether and how we can help.
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