TechShift
TechShift
Helping APAC leaders bridge the gap between AI ambition and production reality. TechShift combines local regulatory expertise with global engineering standards to deliver measurable ROI.
Malaysia is rapidly emerging as a regional AI hub, driven by the National AI Office (NAIO) and the Digital Economy Blueprint. However, enterprise adoption remains complex — and that is precisely where our AI strategy practice delivers.
Expert guidance on MDEC and MIDA matching grants up to RM1M.
Compliant cloud architectures using Malaysian availability zones.
Custom fine-tuning for regional languages and cultural nuance.
Specialised predictive models for the Penang E&E corridor.
What We Do
From strategic advisory through to production ML systems — every engagement is delivered by senior practitioners, not analysts.
Roadmaps grounded in your business model, not vendor lock-in.
Learn more →Connect LLMs, vision models, and analytics to your existing stack.
Learn more →Production-grade data infrastructure — lakehouse, streaming, governance.
Learn more →NAIO-aligned governance, bias audits, and explainability frameworks.
Learn more →Upskilling programmes and operating model redesign for AI adoption.
Learn more →Need a custom scope?
Every enterprise has different constraints. We tailor engagements to your objectives, budget, and timeline.
Talk to UsSector Depth
Deep domain expertise means faster time to value. See our manufacturing AI practice for a sector-specific example.
Credit scoring models, fraud detection pipelines, and RegTech automation for Malaysian banks and insurers operating under BNM guidelines.
Predictive maintenance, quality vision systems, and OEE optimisation for the Penang E&E corridor and Industry 4.0 facilities.
Clinical NLP, diagnostic AI, and patient flow optimisation aligned with KKM standards and local data residency requirements.
Demand forecasting, personalisation engines, and supply chain intelligence for regional omnichannel retailers.
Grid load forecasting, solar yield prediction, and emissions monitoring for Malaysia's energy transition.
How We Work
A structured four-phase process that moves fast without cutting corners — because in production AI, both matter.
2-week deep-dive into your data landscape, existing systems, and strategic objectives. Output: diagnostic report and opportunity map.
3-week collaborative sprint to build a prioritised AI roadmap with ROI projections, grant eligibility assessment, and make-vs-buy recommendations.
Agile delivery of AI prototypes through to production. Embedded engineers work alongside your team, shipping working models every two weeks.
MLOps pipelines, monitoring dashboards, and internal capability uplift to ensure your AI systems keep improving after we hand over.
The Case for TechShift
We are not the cheapest option and we are not the most expensive. We are the right call for enterprises that want production AI without a Big 4 timeline or price tag. Read more on our why us page.
| Attribute | TechShift | Big 4 / Global SI |
|---|---|---|
| Hourly Rate | USD 80–150/hr | USD 300–500/hr |
| Time to First Delivery | 6 weeks | 4–6 months |
| APAC Regulatory Expertise | Native (NAIO, PDPA, BNM) | Global frameworks adapted |
| MDEC Grant Support | Full end-to-end | Limited / extra fee |
| Local Language NLP | BM / EN / ZH fine-tuning | Rarely in scope |
| Engagement Size | SME to large enterprise | Large enterprise only |
Strategic Clarity
Local presence ensures alignment with regional data privacy laws (PDPA 2010), cultural nuance in LLM responses (Malay/English/Mandarin code-switching), and direct access to local government grants like MDEC Malaysia Digital (MD) Status.
Depending on the sector, we see average ROI of 180% to 310% within the first 18 months, primarily driven by OpEx reduction, cognitive offloading, and revenue uplift from hyper-personalisation.
Yes. We provide end-to-end support, from aligning your technical roadmap with grant requirements to preparing the necessary dossiers for MDEC, MIDA, and MITI reviews.
TechShift engagements are priced at USD 80–150 per hour depending on scope — typically 40–60% lower than Big 4 rates. Fixed-fee discovery sprints start from RM 25,000. MDEC matching grants can offset up to 50% of eligible project costs, bringing the effective investment down significantly.
A focused AI strategy and roadmap engagement typically takes 4–6 weeks. A full production deployment — from discovery through to a live MLOps pipeline — runs 3–6 months. We use agile sprints so you see measurable progress every two weeks rather than waiting months for a final report.