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Project outsourcing services for defined outcomes
Fifteen service paths: product engineering, e-commerce and mobile app development, dedicated and white-label development teams, AI workflow discovery and delivery, legacy modernization, technical audit and managed operations, plus five AI-era services for technology leadership, quality and AI assurance, data and AI platforms, cloud platforms and AI engineering enablement. Netbase JSC remains accountable for work it agrees to deliver.
By Netbase Editorial Team · Reviewed by Huy Nguyen (David), CEO · Updated 5 Nov 2026
Custom product engineering for a bounded release outcome
One defined release of your product, built to named outcomes and handed over with acceptance evidence.
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AI workflow automation with evaluation and human control
One operating workflow automated, with an agreed way to judge it and a person on uncertain cases.
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Legacy application modernization, one bounded capability at a time
The code is assessed first, then one bounded capability moves at a time, with a way back.
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Application maintenance and managed operations, agreed in an assessment
A production system kept maintained and improving under terms agreed after a paid assessment.
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E-commerce development, built, extended or replatformed as a project
A store built, extended or replatformed on Magento, WooCommerce or headless, as scoped milestones.
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Mobile app development on your platform's API
A customer or field app built on your platform's API, with an audit first and a phased release.
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AI workflow blueprint: decide where automation belongs before you build
A paid two-to-four-week project that ends in a scope you can approve, change or stop.
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Technical audit sprint: a bounded evidence pack, not an opinion
A timeboxed project that answers one question with an evidence pack and a decision.
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Fractional CTO and AI transformation advisory: leadership without a full-time hire
Technology and AI transformation leadership on a monthly retainer, with a handover to a permanent hire.
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Quality, security and AI assurance: the gates a release must pass
Standing test, security and AI-evaluation gates wired into your release path.
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Data and AI platform engineering: one foundation your workflows share
Pipelines, retrieval indexes and model operations your AI and analytics workflows can share.
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Cloud platform and DevOps engineering: one platform for apps and AI workloads
Infrastructure as code, CI/CD, inference hosting, observability and cost controls for apps and AI workloads.
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AI engineering enablement: help your own engineers ship with AI agents safely
Agent workflows, tool permissions, review gates and delivery measures adopted by your own engineers.
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Dedicated development teams run by Netbase
A named Netbase team directed by your product owner, with Netbase accountable for staffing and governance.
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White-label development for agencies and partners
Software built under your brand, with Netbase delivering behind an NDA and a defined exit.
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Choose a service path
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Custom Product Engineering
A web, mobile, SaaS or internal product capability built or modernized
Deliverable A releasable increment, with source ownership and operating notes at handover
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AI Workflow Automation
One repeatable business workflow handled partly by software that uses AI models
Deliverable A workflow with data boundaries, evaluation cases, exception paths and a named reviewer
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AI Workflow Blueprint
A decision about whether AI belongs in a workflow before a production build
Deliverable An assessment and decision pack; any prototype is separate from production acceptance
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Legacy Application Modernization
One bounded legacy capability needs assessment or staged migration
Deliverable A scoped migration path with parity checks and a cutover decision
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Technical Audit Sprint
One technical decision needs a dated, access-limited review
Deliverable A finding pack and prioritized options, not certification
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Managed Operations
An accepted system needs an agreed operating and support scope
Deliverable Defined monitoring, change and escalation responsibilities
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Fractional CTO Advisory
Technology or AI transformation leadership before a full-time hire
Deliverable A leadership retainer with written objectives and a handover to a permanent hire
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Quality, Security and AI Assurance
Releases, including AI features, need standing quality, security and evaluation gates
Deliverable Test, security and AI-evaluation gates wired into the release path
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Data and AI Platform Engineering
Several AI and analytics workflows need one governed data foundation
Deliverable Pipelines, retrieval indexes and model operations your workflows can share
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Cloud Platform and DevOps Engineering
Applications and AI workloads need a repeatable cloud platform
Deliverable Infrastructure as code, deployment pipelines, observability and cost controls
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AI Engineering Enablement
Your own engineers want to deliver with AI coding agents safely
Deliverable Agent workflows, review gates and delivery measures adopted by your team
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E-commerce Development
An online store built, extended or replatformed on Magento, WooCommerce or a headless front end
Deliverable Catalogue, checkout, integrations and migration delivered as milestones
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Mobile App Development
A customer or field mobile app built on an existing platform's API
Deliverable API audit, screens, sign-in, notifications and store-release preparation in phases
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Dedicated Development Teams
A named, long-running team directed by your own product owner
Deliverable A standing team, with Netbase accountable for staffing, continuity and security
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White-Label Development
Software delivered under an agency's or partner's brand
Deliverable Delivery under NDA with an agreed IP chain, support and exit path
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Start here
Not sure which fits yet
Deliverable Describe the outcome and the current system. The first review names a path, or tells you plainly that none fits yet
The first two paths deliver a product release or a working AI-assisted process. The next four help decide whether to build, migrate or operate. Each link leads to its own fit and limits; a service label is not a delivered result. If the open question is which platform to build on, the technologies pages set Magento, Laravel, WooCommerce, Odoo and Next.js against the conditions each one fits.
Why are five of these services new?
Agents, retrieval, model evaluation, inference hosting and AI-assisted coding are new to every supplier at once. Netbase takes these capabilities on and combines them into delivery, from how AI output is tested before release to how an in-house team adopts AI coding safely.
Which engagement model fits your project?
The table compares the three ways Netbase takes on a project; see engagement models for detail.
| Engagement model | Good fit when | Look elsewhere when |
|---|---|---|
| Fixed-scope project | The outcome and acceptance criteria are fixed first | Requirements will change once work starts |
| Dedicated team | Work is ongoing, directed by your own product owner | A single bounded deliverable is all you need |
| Managed operations | An accepted system needs standing monitoring and change control | The system is still being built |
What if a project needs more than one path? Many combine them — an AI-assisted feature inside a build, for example. One stays the primary path, with the rest scoped as milestones inside it: one plan, one delivery owner, one acceptance route.
What every engagement includes
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A written project definition
Outcome, scope, exclusions and risks, agreed before work starts.
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Milestones with acceptance criteria
Each milestone states its deliverables and how it will be accepted.
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One accountable delivery owner
Netbase JSC remains responsible for the delivery work it has agreed to.
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AI-assisted engineering under human review
Engineers use AI tools where they help, and a person reviews and owns every change that ships.
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Handover
Deliverables, documentation, access transfer and known limitations, so the result can run without us.
What these services are not
These are not CV supply or a rate card; even a dedicated team runs under Netbase's governance. They fit poorly without someone who can approve scope and accept milestones, or when a promise depends on unchecked data — then a short discovery or audit is the honest first step.
How a request moves forward
There is no public checkout and no automatic project creation. A request moves through three steps:
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Brief
You describe the problem, system, outcome and decision deadline on the project submission page.
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Qualification
The project team reviews fit and names the likely path or a no-fit outcome.
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Proposal
If it fits, you receive a written proposal with scope, milestones and commercial terms.
Related published work
The Work section holds portfolio records of delivered scope, including a multi-tenant cloud ERP SaaS platform, a WhatsApp AI chatbot with CRM integration and a classifieds platform with AI-assisted moderation; the methodology page explains how claims are checked.
Where the work is done
Netbase JSC is headquartered in Hanoi, Vietnam, and delivery is remote-first; hybrid or client-onsite work is scoped only when a project activity needs it. The global delivery page covers team setup, time zones and security.
Questions about choosing a service path
How do I know which service path fits? Compare the outcome you need against the table above, or describe it on the project submission page; the first review names a path or says none fits yet.
Can one project combine more than one service? Yes, under one primary path, with any other capability scoped as a milestone.
Is a fixed-scope project the only way to engage? No — dedicated and white-label teams and managed operations are engaged differently; the table above shows when each fits.
Have a project outcome in mind?
Send a structured brief on the project submission page. OutsourcingVN is operated by Netbase JSC and is Netbase's own outsourcing-services platform.