SmartDev — Build & Run

You already know what to build.
We make sure it ships and keeps running.

Swiss-owned, AI-native software engineering — the long-term partner +100 B2B clients trust for the international experience of working with global brands. We don't sell headcount; we own the outcome, from first release through everything that keeps it running.

100+ Global
고객

80% Retention Rate

12+ Years of
Experience

Since 2014

Swiss-Owned,
2 Dev Hubs

Hanoi & Danang, Vietnam

ISO 27001

Certified & Compliance

Two Ways to Engage

Budget ready, Headcount tight?

Here’s how we scale

Two delivery models, one accountable team, and the same AI-native SDLC underneath both 
— pick the one that matches how your problem is shaped, not how a vendor prices it.

AI-Native Engineering
Engineering Teams Extension
Deliverable

A feature, product, migration, or modernization — delivered against an agreed scope, with an optional Managed Services hand-over at the end

A managed AI-native team that extends your own organization — features, integrations, and more — with an optional Managed Services layer for steady-state support.

Pricing

Fixed price, fixed timeline, fixed outcome

Predictable monthly run rate, scoped by role × level × duration

Best For

Discrete projects with a clear scope and a clear end state

Ongoing capacity needs, multi-release roadmaps, and sustained development

Engineering domains we go deep in

AI Product Engineering
Legacy Modernization
Cloud-native platforms
Data Platforms
Systems Integration
Product Engineering for Digital-native Businesses
How We Deliver

Two ways to engage.
One AI-native SDLC underneath both

Every phase of our SDLC runs on AI tooling that's trained and governed, not bolted on
— backed by senior engineers who own quality end to end.

Discovery
분석
Planning
짓다
Test & UAT
Deploy
AMS
일체 포함
TOOLING
Best-fit LLM
Claude · GPT · Gemini
Domain MCP + Skills
Claude + Skills
C4 · ADR · Figma AI
Claude + MCP
Atlassian ·
GitHub · Office 365
Claude Code
CodeRabbit ·
GitHub Actions
MCP + QA Skills
SonarQube ·
Visual QA
GitHub + Cloud
Security gates ·
CI/CD pipelines
Claude MSP ITSM
Domain Skills ·
runbooks
LEAD ROLES
BA · SA · DM · SME
→ Scope · BRD
SA · BA · UX
→ FSD · NFR
PM · PO
→ User stories · DoD
Devs · SA · BA
→ Code · Test
QAs · SecOps
→ UAT-ready
데브옵스
→ Production release
SLA-driven 24/5
→ Incidents · CRs
QUALITY
GATES
Iterative Loop
BRD sign-off
Arch sign-off
UAT acceptance
Go-live approval
Incidents CRs New scope
BRD: Business Requirement Document  ·  FSD: Functional Specification Document  ·  NFR: Non-Functional Requirements  ·  DoD: Definition of Done  ·  CRs: Change Requests
AI Governance & Compliance Layer
ISO 27001 / SOC 2 · Company-approved tools · Data within perimeter · Full audit trail
25
%
Faster in Delivery*
85
%
Reduction in Bugs*
80
%
Faster Code Reviews*
73%
%
Increase Testing Efficiency*

*SmartDev Production Team, internal tracking — 3-month AI-powered SDLC pilot in 2025.

Managed Services

Go-Live is the Start, Not the Finish Line

Deployment hands over a working solution. Our managed service keeps it working — tuned to your data, your regulators, and your team, long after launch day.

지속적인 모니터링

We track workflow accuracy, exception rates, and system performance every day, catching drift before it becomes a compliance gap.

Ongoing Optimization

Monthly tuning cycles refine models and rules as your document volumes, regulations, and edge cases evolve, not just at launch.

Fully Support & SLAs

A named success manager and response-time SLAs, so issues get resolved by someone who already knows your workflow.

Transparent Reporting

Quarterly business reviews with real usage, accuracy, and ROI data, so ongoing spend is always tied to a visible result.

Discovery
구현
Go-Live
Managed Service (Ongoing)

AI That Moves Software Development Forward

What this looks like in practice

Four engagements, two shapes. Client names are withheld by agreement 
— what's shown here is real: the workflow, the constraint, and what changed.

Consolidating fragmented financial workflows into one compliant platform
Ongoing | Fintech – Regulated Client Money
도전
Mandate recording, transaction allocation, and reconciliation ran on spreadsheets and disconnected systems — raising operational risk under strict client-money regulation.
해결책
A microservices platform with structured reconciliation workflows and detailed audit logging, plus Open Banking and eKYC integration to automate onboarding and transactions.
결과
• 40% higher document-processing accuracy
• 60% lower manual compliance workload
• 50% faster onboarding for new administrators
Replacing fragmented manual workflows with
a governed AI platform
10 Months (Ongoing) | BFSI Startup / Compliance & Risk
도전
Fragmented manual workflows and outdated infrastructure were blocking a compliance-grade financial-planning product.
해결책
A governed AI-powered financial-planning platform — automated risk assessment, recommendation generation, and full decision traceability from day one.
결과
• 50% 더 빠른 위험 평가 및 권장 사항
• 70% less manual compliance documentation
• 35%: 자문위원 참여도 향상
AI leading the way in advanced floor & 3D house plan design
Ongoing (Since December 2023) | Architecture and Design
도전
Aimed to simplify floor plan creation through mobile scanning, but it faces strong challenges to achieve accurate, reliable results.
해결책
Developed an AI-powered floor plan solution, adapting to different devices and environments to deliver for both users & professionals.
결과
• 30% faster scanning floor plan
• 25% fewer capture errors
• 40% less manual adjustment
수의약 공급 회사의 높은 가용성 보장
3 months | Veterinary Medicines
도전
Faces the challenge of maintaining high availability of its digital platform while developing a new website.
해결책
Assessed the client’s codebase to identify risks from undocumented changes, provided mitigation recommendations, and established incident management processes.
결과
• 89% platform availability maintained
• 40% faster incident resolution achieved
• 30% fewer operational service risks

Built to deliver more than code

An AI-native engineering partner, held to the same standard as your own team.

Outcome Driven

We define success upfront and track speed, quality, productivity, and cost throughout delivery.

진정한 AI 인재

Work with engineers trained to apply AI across planning, coding, testing, and delivery.

Security First & Transparent

Your code, data, and IP stay protected, with full visibility into how AI is used.

확장 가능한 배달

Expand engineering capacity faster while keeping delivery efficient, controlled, and cost-effective.

Our Team

Work with our network
— 
from leadership to engineers

Our AI engineers are backed by Verysell AI and Verysell Group leaders - bringing expert guidance, domain knowledge, and senior oversight to every project.

Alexander Nevolin
Head of Delivery

25+ years leading large-scale software engineering initiatives for global clients.

토안 응우옌 박사
최고기술책임자(CTO)

15+ years in IT & Manufacturing across Vietnam and Korea; PhD, Electronics & Computer Engineering.

유리 로진스키
Senior Business Solution Architect

25+ years in Healthcare, Insurance and Finance; Digital Transformation & AI Adoption.

Vuong Huynh
Head of DevOps & Infrastructure

DevSecOps leader, 8+ years driving multi-cloud transformation via IaC & CI/CD.

Do Dang Thanh
Head of PMO

18+ years in software delivery & PMO leadership across Banking, Government, Healthcare & Education, leading transformations.

Nhat Nguyen
Head of System Design

9+ years as Solution Architect across Banking, Insurance & EdTech.

히에우 트란
Business Solution Architect

10+ years in software architecture, microservices and AI adoption strategy.

Quyet Nguyen
Delivery Manager

9+ years in IT, 6+ years leading delivery organizations and scaling delivery frameworks.

Dat Nguyen
Head of Development COE

10+ years building fintech & banking backends; AWS-certified architect of a multi-region platform serving 1M+ users.

Thu Nguyen
Dep Head of Development COE

10+ years in software engineering and tech leadership; full-stack expert driving AI adoption and scalable solutions.

수상 및 인정

우리의 성과는 ~로 축하받는다

전 세계의 저명한 기관들.

FAQ

Common Questions

What are SmartDev’s AI Engineering Services?

AI-native software engineering: building, shipping, and running production AI products and features — generative AI applications, RAG-based knowledge assistants, document intelligence, predictive analytics, recommendation engines, computer vision, fraud detection, and custom machine-learning with the same production discipline as the rest of your software.

How do we engage — do we just need more people, or do we need help shaping the solution?

Two paths, and the right one depends on what you’re missing. If you just need more hands on a roadmap you already own, that’s Engineering Teams Extension — but even there, we scope and staff around the outcome you need, not a headcount number. If you need SmartDev to co-design the solution and consult on how to get there, that’s a Fixed-Scope Project — a fixed price, fixed timeline, fixed outcome, with our architects shaping the approach alongside you from the start.

Can SmartDev help us move from an AI idea to production?

Yes. SmartDev supports the full AI delivery lifecycle — from opportunity discovery and use-case validation to solution architecture, prototype development, integration, deployment, monitoring, and continuous optimization.

How do you ensure AI outputs are reliable and secure?

We build AI systems with guardrails, role-based access controls, audit logs, human-in-the-loop review, retrieval controls, model evaluation, monitoring, and data-security practices — tailored to your industry, risk level, and compliance requirements.

What happens after go-live?

Deployment isn’t the finish line — our Managed Services layer keeps your system monitored, tuned, and supported through named success managers and response-time SLAs, with quarterly business reviews tied to real usage and ROI data.

How quickly can our team start?

The timeline depends on the required roles, technical complexity, and onboarding needs. In many cases, SmartDev can assemble a dedicated team and begin discovery or development within a few weeks.

Ready to build what’s next?

Talk to an engineering lead

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