-
OVERVIEW
-
SERVICES
-
MODELS
-
WHY CHOOSE US ?
-
OUR PROCESS
-
TECHNOLOGIES
-
FAQS
AI-Enabled Software Development at Saigon Technology
Senior engineers own every change: each AI Pod has a Tech Lead matched to your stack and senior engineers who write the code and review what the AI agents produce, so a named person answers for every change.
AI agents at every delivery stage: agents support project management, architecture and design, coding, QA, and DevOps inside a 3-5 person team, backed by our Centers of Excellence.
A staffed Pod in about 5 days: once you approve the proposal, your AI Pod is staffed in about 5 days and starts with a two-week risk-free trial before any long-term commitment.
Your code and IP stay yours: we sign an NDA before you share requirements and assign code and IP to you as work is delivered, under ISO 9001 and ISO 27001 certification from BSI (UK).
Work you can see, in your hours: a named Project Manager, Jira and repository access, 10-12 hours of overlap with US teams, 1 hour behind Singapore, 3-4 hours behind Sydney, and Vietnam afternoons in the European morning.
Who we build for
- Funded startups: ship your first release with an AI Pod at a fixed price, then keep the same engineers.
- Mid-market companies: keep the roadmap moving with a smaller senior team through a dedicated team instead of local hires.
- Enterprise teams: move AI-assisted delivery into production at scale inside your own ODC in Vietnam.
Our AI-Enabled Engineering Services
New Product Builds and MVPs
Roadmap Delivery for Existing Products
Legacy Modernization With AI-Assisted Analysis
AI Features Inside Your Software
Case Studies: Senior Teams Shipping With AI
AxiaGram: Voice-Driven AI Notes for a US Telemedicine Platform
- Challenge: a US telemedicine platform for chronic care needed to scale cost-effectively and let clinicians document visits by voice inside hospital EHR workflows.Â
- What we built: AI-powered voice note-taking, electronic visit verification with geo-tagging and digital signatures, secure care-team messaging, and video consultations, integrated with US hospital EHR systems through HL7. Read the AxiaGram case study.Â
- Engagement / timeline: an offshore development center (ODC), ongoing since 2021.Â
- Outcome: development time cut by 40%, with more than 6 million medical records handled under HIPAA controls.Â
- Stack: .NET Core, Angular, Azure, HL7, Voice AI, Agora, Wowza.Â
- Learn more | Read the AxiaGram case study (PDF)
Personal Loans Application: 20 Senior Engineers Onboarded in 3 Months
- Challenge: a US fintech lending platform needed to cover the full loan lifecycle, from onboarding and identity checks to fraud detection, servicing, and collections.
- What we built: identity, employment, income, and bank-account verification (Plaid, GIACT, TALX), integration with Oscilar's AI-powered credit risk scoring and Equifax data, and LoanPro-based loan management with full audit trails. Read the Personal Loans case study.
- Engagement / timeline: an ODC, running for 3+ years.
- Outcome: 20 senior engineers onboarded in 3 months to scale the team at the start of the engagement.
- Stack: Java with Spring Boot, React and Next.js, Python (Airflow), AWS, Kafka, Terraform.
- Learn more | Read the Personal Loans case study (PDF)
PepTalk: An LLM Chatbot MVP Under a Fixed Price
- Challenge: PepTalk wanted a chatbot that understands a client's needs in plain language and recommends the right experts for meetings and events.
- What we built: a chatbot that collects requirements, finds matching experts with text-embedding search, explains expert profiles, and submits booking requests.
- Engagement / timeline: a fixed-price MVP with 1 project manager, 4 developers, 1 business analyst, and 1 QC engineer, with scope locked before development and acceptance criteria set for each release.
- Outcome: a working MVP that balanced answer quality against cost by mixing large and small OpenAI models.
- Stack: Python, LangChain, ChromaDB, FastAPI, OpenAI, PostgreSQL, Redis, Angular.
- Read the PepTalk case study
Get Your AI Pod Proposal
Why Choose Saigon Technology for an AI-Enabled Engineering Team?
A good AI-enabled engineering partner puts senior engineers in charge of what AI produces, publishes its rates, and keeps your code and IP in your name. Saigon Technology runs AI-native software engineering through small senior-led AI Pods built on those three commitments.Â
Senior Engineers Review What AI Writes
AI agents produce code fast, and unchecked output is how defects and security gaps reach production. On every AI Pod, senior engineers write the critical code and review what the agents draft, so a named engineer answers for each change.Â
"Clients rarely ask us whether AI can write code. They ask who answers for it. On every AI Pod, senior engineers review the code AI writes, so the speed comes from the agents and the accountability stays with people." Thanh Pham, Chief Executive Officer, Saigon TechnologyÂ
Cost per Outcome at $22-$46/hr
Our listed rate for senior-led delivery is $22-$46/hr in USD. AI agents take repetitive work off the team, so the same scope needs fewer engineers and fewer rebuilds. Your total bill drops while the hourly rate holds.
Security, IP, and Compliance Stay With You
AI tools touch your code and data, so the controls have to cover them too. We sign an NDA before requirements are shared, assign code and IP to you as work is delivered, and meet HIPAA and PCI-DSS requirements where the workload needs them.
Stable Teams for Long-Lived Software
An AI Pod often runs your roadmap for years. Churn breaks what you already shipped. We rank #10 in the Medium category of Southeast Asia Best Workplacesâ„¢ in Technology 2026 (Great Place To Work) and made the Fortune 100 Best Companies to Work Forâ„¢ Southeast Asia 2025.
Architecture Advice From Day One
Before an AI Pod writes code, a solution architect reviews your goals and stack and tells you when building is the wrong call. You can also test our AI work first on the live demos at Research Labs, including OCR and semantic search.
Centers of Excellence and an AI Tech Lead Behind Each Pod
AI tooling changes every few months, and a Pod that picks models out of habit falls behind. Each Pod is backed by our Centers of Excellence and by Phong Le, our AI Tech Lead, who covers generative AI integration, retrieval-augmented generation, and model selection.
14+ Years · 400+ Developers · 850+ Projects · 350+ Clients · 3 Development Centers
That record includes 50+ AI projects and 30+ AI engineers, all under ISO 9001 and ISO 27001 certification from BSI (UK). Our case studies predate the AI Pod name. We'd rather show verifiable adjacent work than invent a Pod metric.
Start With a Two-Week Risk-Free Trial
Start an AI Pod with a two-week risk-free trial before any long-term commitment. After that, run it as a dedicated team on your roadmap, under a fixed price for a scoped build, or inside your own ODC. A staffed Pod takes about 5 days to set up.
Trusted by Global Clients
What Our Clients Say
Industries We Serve
How an AI-Enabled Team Differs From a Classic Offshore Team
AI-native software engineering hands routine delivery work to AI agents at every stage and keeps architecture, review, and sign-off with people.Â
Team shape
A 3-5 person senior-led Pod in place of a larger team padded with juniors.
Requirements
AI agents draft user stories and acceptance criteria, and the Business Analyst and Tech Lead approve them.
Coding
AI agents write first drafts, while senior engineers write the critical code and review every change.
Testing
AI agents generate test cases, and QA or senior engineers decide what coverage is enough.
Accountability
One named Project Manager and a stack-matched Tech Lead answer for every release.
Delivery pods
A dedicated delivery pod owns one product stream, and an AI Pod adds AI agents at every stage.
How Our AI Pods Deliver
Idea
The Project Manager and Business Analyst frame the goal with you, and AI agents help organize research and the first backlog items.
Requirements
AI agents draft user stories and acceptance criteria, and the Business Analyst and Tech Lead approve them before work starts.
Design
The Tech Lead sets the architecture while AI agents propose options and document decisions. UI/UX designers join when the product needs them.
Code
Senior engineers write the critical paths and review every change the AI agents draft.
Tests
AI agents generate test cases. QA engineers join when the project needs them and sign off on coverage.
Deploy
AI agents support CI/CD and DevOps tasks, and the Project Manager reports each release in Jira.
Our Insights
FAQs
How much does an AI-enabled engineering team cost?
Saigon Technology lists senior-led delivery at $22-$46 per hour in USD (about SGD 28-59), and projects start from $10,000. A smaller AI Pod covers more scope per engineer, so compare total cost per outcome across Pod size, stack, and engagement model.Â
How quickly can an AI-enabled team start on my project?
A solution architect returns a proposal with a clickable prototype and architecture direction 48+ hours after you send your brief. Once you approve it, a staffed AI Pod takes about 5 days to set up. Plan for the two milestones separately.
Can AI develop software on its own?
AI agents can draft code, tests, and documentation, and engineers still set the architecture, weigh trade-offs, and check the output. In AI-enabled software development, AI agents take the repetitive work and senior engineers review every change before it reaches production.
How do you keep AI-written code secure and compliant?
Senior engineers review all AI-written code under ISO 9001 and ISO 27001 certification from BSI (UK). We meet HIPAA and PCI-DSS requirements where the workload needs them, apply GDPR as standard when an engagement handles EU personal data, and work to Singapore's PDPA.
Who owns the code and IP an AI-enabled team produces?
You own the code and IP an AI Pod produces, including code that AI agents helped write. We sign an NDA before you share requirements, assign code and IP as work is delivered, and keep your Jira and repository access open.
What is an AI-enabled engineering team?
An AI-enabled engineering team uses AI agents across delivery while engineers stay accountable for design and review. Saigon Technology runs it as the AI Pod, a 3-5 person senior-led team for AI-native software development. To hire engineers who build AI and ML models, see that service.
Which engagement models work with an AI Pod?
Choose by how settled your scope is. A fixed price suits a scoped build, a dedicated team suits an open roadmap, and an offshore development center (ODC) in Vietnam suits long-term capacity. Each option starts with a two-week risk-free trial.