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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.
Talk to Our AI Pod Leads
Thanh Pham - CEO of Saigon Technology
Meet Thanh (Bruce) Pham
CEO of Saigon Technology with 14+ years leading and managing offshore engineering delivery globally
Book an Appointment More Details
Phuc Tran - Program Manager
Meet Phuc (Cris) Tran
Program Manager leading teams of 60+ engineers and budgets exceeding $3.9M across 90+ projects
Book an Appointment More Details
over 400 software developers
400+
Software Developers
Over 14 years of experience
14+
Years in Business
Over 850 Projects Successfully Delivered
850+
Projects Successfully Delivered
rating on Clutch
4.8
Star Rating on Clutch

Our AI-Enabled Engineering Services

An AI-enabled engineering team working offshore is a small, senior-led software team in another country that uses AI agents at every delivery stage, from requirements to deployment, while engineers own design and review each change. Saigon Technology runs these teams as AI Pods for new builds, product roadmaps, modernization, and AI features, using an AI-native software development workflow.
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New Product Builds and MVPs

An AI Pod takes your first release from scope to launch, with AI agents drafting stories, code, and tests for senior engineers to approve. You start under a fixed price with scope locked before development and acceptance criteria set for each release, the way we delivered the PepTalk expert-booking chatbot MVP.
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Roadmap Delivery for Existing Products

An AI Pod joins your product as a long-running team that ships against your backlog every sprint. Senior engineers learn your codebase first, then use AI agents to cover more of the roadmap with fewer people. On the Personal Loans Application, we onboarded 20 senior engineers in 3 months.
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Legacy Modernization With AI-Assisted Analysis

An AI Pod modernizes an older system by using AI agents to help read the existing code and draft tests before senior engineers change it. Current behavior stays on record while the system moves to a new stack. Work starts with a stack assessment at no charge that ends in a work breakdown.
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AI Features Inside Your Software

An AI Pod adds AI features such as voice input, chat, and semantic search to the product you already run. Engineers choose the model, connect it to your data, and test it like any other feature. For AxiaGram, a US telemedicine platform, we built voice-controlled AI note-taking for clinicians. See generative AI integration services.
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Case Studies: Senior Teams Shipping With AI

These three projects ran before we named the AI Pod model, and each shows part of it: AI features in production software, a senior team scaled up fast, and a fixed-price AI build with scope locked before work began. Contact us to plan yours.
AxiaGram - AI-Powered EHR Companion Appy

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. 
  • 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. 
  • Engagement / timeline: an offshore development center (ODC), ongoing since 2021. 
  • Outcome: development time cut by 40%, with more than 6 million medical records handled under HIPAA controls. 
  • Stack: .NET Core, Angular, Azure, HL7, Voice AI, Agora, Wowza. 
  • Learn more | Read the AxiaGram case study (PDF)
Personal Loans Application

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 AI

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

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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. 

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. 

"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 Technology 

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.

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.

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.

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.

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.

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 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.

Why choose Saigon Technology 2026

Trusted by Global Clients

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What Our Clients Say

Saigon Technology provided the expert advice and technical development needed for our platform. I truly appreciate their professionalism and ongoing support.
Jason Soo
CEO of Loan City, Singapore
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I had the opportunity to work with Thanh (Bruce) Pham and his team. What a nice experience, though! It could be said that I was impressed by his professionalism and his team's enthusiasm. They always asked me to check the right demand and to make sure whether each work point was the best option or not. It was my honor to work with such a great team of software development. Hope to meet them soon in the upcoming time!
Mr. Kirk Duncan
CEO of The Mobile App Man, Sydney, Australia
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Over the past year, collaborating with Saigon Technology Solution company, we have brought high-quality financial software solutions. STS helps us meet the strict requirements of the IT market with software engineers, software testers, and internal system control. And all of these are evidence that we have chosen a good software outsourcing partner.
Mr. Corbin van Amelsvoort
Director at Topicus Vietnam
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During our collaboration, Mr. Thanh and his company, Saigon Technology, have consistently demonstrated world-class leadership and execution in complex fintech projects. His ability to scale and lead high-performing engineering teams, while maintaining cost-efficiency and product quality, has been critical to our technology operations. His strategic insights and leadership enabled us to significantly improve system stability and deployment velocity.
Abe Jarrett
Senior Vice President of Software Engineering at Origence, USA
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We value Saigon Technology’s strong support in managing the engagement from an internal delivery perspective. They were able to maintain team performance across a relatively large team, provide additional resources when required, and work collaboratively with us on matters such as gap time, discount proposals, and improvements to the working process. Their flexibility and consistent management support contributed positively to the overall partnership.
Sri Vijayasarathy
CTO of Axiagram, USA
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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. 

Team shape

A 3-5 person senior-led Pod in place of a larger team padded with juniors.

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Requirements

AI agents draft user stories and acceptance criteria, and the Business Analyst and Tech Lead approve them.

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Coding

AI agents write first drafts, while senior engineers write the critical code and review every change.

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Testing

AI agents generate test cases, and QA or senior engineers decide what coverage is enough.

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Accountability

One named Project Manager and a stack-matched Tech Lead answer for every release.

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Delivery pods

A dedicated delivery pod owns one product stream, and an AI Pod adds AI agents at every stage.

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How Our AI Pods Deliver

Software Development Process

Idea

The Project Manager and Business Analyst frame the goal with you, and AI agents help organize research and the first backlog items.

Software Development Process

Requirements

AI agents draft user stories and acceptance criteria, and the Business Analyst and Tech Lead approve them before work starts.

Software Development Process

Design

The Tech Lead sets the architecture while AI agents propose options and document decisions. UI/UX designers join when the product needs them.

Software Development Process

Code

Senior engineers write the critical paths and review every change the AI agents draft.

Software Development Process

Tests

AI agents generate test cases. QA engineers join when the project needs them and sign off on coverage.

Software Development Process

Deploy

AI agents support CI/CD and DevOps tasks, and the Project Manager reports each release in Jira.

Our Technology Stack & Standards

Our Insights

FAQs

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. 

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.

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.

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.

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.

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.

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.

Plan Your AI-Enabled Team With Saigon Technology

Share your roadmap. A solution architect reviews it, then proposes the Pod shape, stack, and engagement model.

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