Scale your software development with AI in the workflow
More than ten years of delivery, standards we hold ourselves to, and an active part in the Vietnamese and global engineering community. What changed recently is the method. AI now sits inside the daily workflow of every team we run, and a named engineer owns every output that leaves it.
Cost Efficiency
You fund engineers, not recruitment, office space or bench time. AI absorbs the routine layers of the build, so the same scope fits inside fewer billed hours.
Access to Expertise
Backend, frontend, data, cloud and QA in one team, each of them fluent in the AI tools their own role actually benefits from.
Faster Time to Market
Discovery, estimates and the first working slice all move faster when AI does the drafting. Review stays human, so speed does not cost you quality.
Scalability & Flexibility
Add a specialist for one sprint or a full squad for a year. AI keeps documentation current, so people can join or leave without knowledge walking out.
Software development services from concept to steady operation
We take a product from planning through build, launch and the support that follows. We work with current technologies and established practice, and apply AI at each stage to shorten the routine work: requirement summaries, test preparation, documentation and release notes.
End-to-end delivery,
AI at every step
Planning, development, deployment and the support that keeps it running. Every service below is delivered by engineers who use AI daily, inside your tools, your process and your standards.
Custom Software Development
Software shaped around how your business actually works, not around a template. AI accelerates the scaffolding and the test suite, your team reviews everything before it merges.
Enterprise Software Development
Systems that carry real load and real compliance obligations. AI assists with documentation, traceability and the regression coverage auditors tend to ask for.
Software Product Development
From idea to a product in the market, through research, design, build, test and release. AI shortens the research and prototyping loop so you validate sooner.
SaaS Development
Cloud-native builds on AWS, Azure or Google Cloud using microservices and containers. AI keeps infrastructure and runbook documentation current as the platform grows.
Software Integration Services
Connect the systems you already run so data moves without manual re-entry. AI maps the fields and drafts the checks before anything touches production.
API Development
REST and GraphQL APIs built for security and for the people who consume them. AI generates the reference collection and contract tests that ship with the handover.
Three ways to work with an AI-driven team
The commercial model changes with your goals. The way the team works does not.
AI-assisted full outsourcing
Project-based delivery
We take ownership of the whole project, from discovery and solution design through build, testing, deployment and launch. Delivery runs under agile governance, with AI applied to requirement analysis, development support, QA preparation, documentation and reporting. A named engineer signs off on every output.
AI-driven dedicated agile team
A standing team with committed sprint outcomes
A dedicated agile team aligned to your roadmap and your backlog. Sprint deliverables are planned and agreed with you against your priorities, backlog readiness and team capacity. The team applies AI across the lifecycle, from requirement analysis and user stories to coding, QA, documentation and sprint reporting.
AI-enabled staff augmentation
Specialists under your direction
Technology professionals who join your in-house team and work under your direction, process and management. They bring the technical depth you asked for plus AI-assisted working methods, which shows up as faster development, better documentation and stronger test preparation.
How a Sosene software development project runs
Eight stages, adapted to what your project actually needs. Not every project uses all of them.
01 Requirement gathering
For projects where the requirements are still open. Our business analysts map your processes, collect what stakeholders expect, prioritise requirements by business impact and name the risks early. AI turns interviews and workshops into structured requirement documents.
02 Project planning
A project manager sets objectives, deliverables and boundaries, builds the timeline and task breakdown, assembles the team, agrees the metrics that define success and puts a risk plan in place before work starts.
03 System design
Architecture, data flow and integration blueprints, plus user research, wireframes and interface design. We also check what can be reused from the software you already own instead of rebuilding it.
04 MVP release
Where it helps, we ship a working version first, built around the features with the highest value to end users, so you learn from real usage before committing the full scope.
05 Development and QA
Frequent releases through automated CI/CD pipelines, with functionality, security and performance tested each time. AI generates test cases and edge cases, and you get regular updates on progress and quality.
06 Deployment and enablement
Rollout, an optional pilot with a limited group, knowledge transfer to your internal or external support team, and training for the people who will operate the system.
07 Post-deployment maintenance
We answer user questions after release, manage incidents, apply updates and handle configuration changes as they come up.
08 Ongoing support
Under a support agreement we keep optimising and extending the system, so it stays stable and ready for whatever the business needs next.
What keeps delivery predictable
Speed only counts if the result holds up. These practices sit behind every engagement, whichever model you choose.
Project foundation
- Scope defined together, in writing
- A team composed for the work, not the average
- Roadmap and milestones agreed up front
Cost control
- A transparent estimation method
- Build order driven by business value
- Savings that never come out of quality
Collaboration
- One communication framework, not five
- Roles and responsibilities named per task
- Regular alignment with your stakeholders
Risk management
- Risks identified before the build starts
- Continuous monitoring through the lifecycle
- A named owner for each mitigation
Change management
- A single route for change requests
- Impact assessed before anything is committed
- Approved changes scheduled without drama
Quality assurance
- Success metrics agreed at the start
- KPI reporting you can check yourself
- Improvement cycles between releases
Knowledge transfer
- Structured documentation, kept current with AI
- Handover built into the plan, not bolted on
- Technical specifications written to be used
After launch
- Warranty coverage on what we deliver
- Maintenance options that match your load
- The same team available for the next phase
How software development engagements are priced
Two commercial models, and one honest answer about numbers.
| Fixed price | Time and materials | How we reach a number |
|---|---|---|
| One price agreed in the contract. It fits feasibility studies, proofs of concept and small pieces of work where the requirements are settled and unlikely to move. | You pay for the hours worked each month, with an optional cap that sets a ceiling for budget control. This suits advisory work, business analysis, architecture and planning, agile delivery, and modernising software you already run. | Every estimate starts with a short discovery call. You get a written proposal with named engineers, a delivery timeline and a price before anything is committed. Cost depends on scope, integrations and compliance requirements, so we quote per project rather than from a list. |
Curious what your software would cost to build?
Tell us what you have in mind. You will get a written proposal with named engineers, a delivery timeline and a price, before anything is committed.
What clients say about our Software Development Services
