Software engineering company · Vietnam

Build software.
Structure teams.
Put AI to work.

Masikitas helps companies design and deliver web and mobile products, improve the way development teams operate, and implement AI processes that create real leverage in day-to-day work.

What we do

Product development and technical leadership in one team.

We can own a defined scope, reinforce an existing delivery team or help you put better technical structure around an internal product.

01

Custom web platforms

Business applications, customer portals, APIs, internal tools and SaaS products designed around your processes rather than forced into a generic template.

Architecture Backend & APIs Frontend applications Cloud delivery
02

Mobile application development

Product-focused applications for iOS and Android, from an initial prototype to a maintainable production release.

Cross-platform Native integrations App deployment
03

Developer management

Technical coordination, architecture guidance, planning, code review and day-to-day support for developers working across one or several teams.

Team leadership Code quality Delivery management
04

AI-enabled engineering

We integrate AI into development and business workflows with the right context, controls and review steps—so it improves output without making quality unpredictable.

AI coding workflows Custom agents Automation Guardrails & review

Applied AI

From isolated AI tools to a repeatable operating model.

The value does not come from adding a chatbot everywhere. It comes from identifying the right tasks, giving models the right context, connecting them to real systems and keeping humans in control of critical decisions.

01

Map the workflows worth augmenting

We identify repetitive, knowledge-heavy or coordination-heavy work where AI can reduce friction without creating unnecessary risk.

02

Build context-aware agents

Agents can use your documentation, APIs, internal tools, coding standards and business rules instead of operating as generic assistants.

03

Implement engineering guardrails

Repository instructions, AGENTS.md files, hooks, automated tests, review gates and quality checks keep AI-assisted work aligned.

04

Measure and improve the process

We monitor where AI saves time, where it introduces rework and which tasks should remain fully human-led.

How we work

A practical path from problem to delivery.

We keep the process clear enough for business stakeholders and rigorous enough for developers to build with confidence.

01

Understand the product context

Objectives, users, constraints, current systems and the decisions that matter most.

02

Design the right delivery model

Scope, architecture, team setup, milestones and the appropriate use of AI.

03

Build with visible controls

Reviews, tests, automation, feedback loops and clear communication throughout execution.

04

Improve after release

Measure real usage, reduce friction and prepare the product and team for the next stage.

Start a conversation

Have a product to build, a team to structure or an AI process to deploy?

Tell us where you are today and what needs to improve. We will help define the most practical way to move forward.