AI and cloud engineering for businesses in Southeast Asia
We build AI automations and cloud systems to take the repetitive work off your staff. Most projects go live within a few weeks.
automations
Trusted by teams across Southeast Asia
Built on the cloud, AI and data platforms your team already trusts
You know AI can help. But where do you even start?
The business leaders we talk to rarely say they're worried about "falling behind on AI." They tell us about problems like these.
My team wastes hours on copy-paste work
Spreadsheets, reports, invoice entry, data cleanup. Hours that should go to customers and growth.
Our cloud bill keeps going up
Nobody's fully sure why. You suspect there's waste, but nobody has time to untangle it.
We want to use AI, but is it safe?
Data privacy, regulatory fines, hallucinations in client emails. The risks feel hard to pin down.
We can't hire AI engineers fast enough
Senior AI talent is scarce and expensive, and the few we find rarely understand our business context.
Our last 'digital transformation' failed
A big consultancy, a thick slide deck, and very little changed afterwards.
We have ideas, just no one to build them
Leadership keeps saying 'let's try AI for X.' Nothing ships because everyone's already overloaded.
If one of these is on your list, it's probably something we've worked on before.
Four ways we work with clients
We judge each one by what changes in your business afterwards: hours saved, a smaller monthly bill, a feature in front of customers.
AI Automation
Replace repetitive work with smart workflows
We find the 5-10 tasks your team dreads every week (reports, follow-ups, data entry, sorting customer requests) and build AI workflows that do them in seconds.
- Workflow automation with n8n, Zapier, custom code
- AI agents & MCP-powered tools
- Connects your existing tools, no rip-and-replace
Cloud Computing
Move to the cloud with minimal downtime
Still on local servers, or already on AWS, GCP or Azure and overspending? We plan, migrate, and optimize, with the cost and timeline agreed up front.
- AWS Advanced Tier Services Partner
- Cloud migration & architecture (AWS, GCP, Azure)
- Cost optimization & FinOps reviews
AI Evaluation
Find your AI's flaws before an auditor does
An internal audit for your AI before the formal one. We test it for accuracy, hallucination, bias, and data-handling risks, then give you a clear risk report and fix list your board will understand.
- Accuracy, hallucination, and bias testing
- Compliance-readiness gap mapping (PDPA, GDPR, AI Verify)
- Executive-ready risk reports
Embedded AI Team
AI FDE as a Service: engineers who work inside your business
A senior AI engineer (or a small pod) who works as part of your team: your standups, your Slack, your roadmap. They ship production AI features every sprint, without a months-long hiring process.
- Forward-Deployed Engineers embedded in your team
- Monthly retainer you can stop with notice
- Full-stack: product thinking + ML + infra
How a project runs
Most engagements follow the same four steps, from the first call to handover.
- 01
Free consult
30 minutes. You describe the problem, and we tell you straight whether AI is the right answer.
- 02
Scoped plan
Within 5 business days you get a fixed-fee, fixed-timeline plan. No open-ended 'day rate' surprises.
- 03
We build & ship
We build in 2-week sprints, show progress every week, and deploy to your production environment.
- 04
We stay to tune
After launch, we either stay on retainer or hand over to your team with full documentation. You choose.
What our work looks like in numbers
Three recent projects, and what changed for each client in the first 90 days.
Procurement cycle cut by 40% while flagging $2.1M in vendor anomalies
Automated vendor evaluation scoring, surfaced fraud signals from invoice patterns, and restructured approval workflows. Manual data entry errors dropped to near zero.
Monthly cloud spend cut from $18K to $11.8K in 8 weeks
Right-sized instances, killed unused storage, moved staging to spot instances, and introduced tagging so every dollar now has an owner.
Shipped 3 customer-facing AI features in 6 weeks with 1 embedded engineer
Semantic search, smart tagging and AI summaries, built end-to-end by one embedded engineer. The in-house estimate was 6 months.
We work with business and technical teams
Most projects have a sponsor on the business side and someone who owns the systems. We work closely with both.
You want to know what it costs and what you get
We translate "we need AI" into "we will automate these 6 workflows, save $X per quarter, and ship by this date." You approve a plan, we deliver it.
- Fixed-fee, fixed-timeline engagements
- Monthly executive reports in plain English
- ROI measured in hours saved, revenue and cost
You want partners who know the stack
We write code you can maintain: Python, TypeScript, n8n, LangGraph, MCP servers, litellm, self-hosted inference, Terraform. It's built to run in production and to be maintained by your own team.
- Full code ownership: everything lives in your repo
- Model-agnostic: OpenAI, Anthropic, open-source, local
- Evals, observability, and CI from day one
We've seen your workflow before
Because we've built for teams in these sectors, we can usually skip a long discovery phase and start with the workflows that tend to pay off first.
Start with a 30-minute call
It's free. Bring one business problem and we'll tell you whether AI is a sensible way to solve it, and roughly what that would take.
Prefer email? contact@rnatech.io