From LLM pipelines to legacy modernization, we build production AI systems for companies in the US, Canada, Australia, Singapore, and Japan — with fixed pricing and senior engineers throughout.
We build custom LLM systems, RAG pipelines, and AI agents from scratch — not wrapper apps around ChatGPT. Our AI engineers have production experience with OpenAI, Anthropic Claude, Google Gemini, and open-source models like LLaMA and Mistral. Every system is architected for reliability, observability, and scale.
We map your most time-consuming manual processes and automate them with intelligent workflows using n8n, Make, LangChain, and custom Python agents. Typical results: 60–90% reduction in manual effort, 2–4 week implementation, and ROI that's visible within the first billing cycle.
We build web applications, mobile apps, APIs, and backend systems using modern production stacks — React, Next.js, Node.js, Python, PostgreSQL, and AWS. Our senior engineers own architecture decisions, not just implementation.
We take your product from concept to shipped SaaS in 8–20 weeks. That includes product strategy, design, development, QA, launch, and the first 30 days of post-launch iteration — all in one fixed-scope engagement.
We migrate legacy PHP monoliths, COBOL systems, and on-premise infrastructure to modern cloud architecture using the Strangler Fig pattern — no big-bang rewrites, no downtime, no data loss.
Why NKKTech
Every project uses AI as the core approach, not an afterthought.
Direct access to tech leads. No junior pass-offs.
Fixed-scope. No hidden fees. Proposal in 3 days.
How We Work
Every engagement follows the same disciplined process — built over 120+ projects since 2018. No mystery, no scope creep, no surprises.
30-min free discovery call with a senior tech lead — not a sales rep. We dig into your business problem, current workflows, data sources, and success criteria. Within 3 business days you receive a fixed-scope proposal: timeline, team composition, deliverables, and price. If we're not the right fit, we'll tell you and recommend who is.
Once you approve the proposal, a senior architect designs the system: AI model selection (proprietary vs open-source LLMs), infrastructure (cloud provider, regions, compliance), data pipelines, integrations, security controls. You receive an architecture document and a week-by-week build plan before any code is written.
Engineering kicks off within 14 days of contract signature. We ship in 1-2 week sprints with live demos every Friday — you see real progress, not slides. Code review happens daily by senior tech leads. Test coverage targets 80%+ for AI services. You have read access to our private GitHub repos from day one.
Before any production deployment, we run security scans (SAST, DAST, dependency vulnerabilities), accessibility audits (WCAG 2.1 AA), performance load tests, and compliance checks (GDPR, HIPAA, PIPEDA, PDPA, APPI as required). All findings are tracked in your project board with severity, owner, and fix ETA.
We deploy to production, monitor for 30 days post-launch, and run knowledge-transfer sessions with your team. Full documentation (architecture decisions, runbooks, on-call playbooks) is delivered as part of the project. You can extend with an ongoing support contract or take over fully — your choice, no lock-in.
Tech Stack
We're stack-agnostic but opinionated. Here's what we recommend most often after 120+ production deployments. We'll adapt if your team has existing standards.
OpenAI GPT-4o & o1, Anthropic Claude 3.5 Sonnet, Google Gemini 1.5 Pro, Meta Llama 3.1, Mistral, DeepSeek-V3. Vector databases: pgvector, Pinecone, Qdrant, Weaviate. Frameworks: LangChain, LlamaIndex, Vercel AI SDK, custom RAG pipelines. Fine-tuning on AWS Bedrock, Azure OpenAI, GCP Vertex AI.
Node.js (Hono, Fastify, NestJS), Python (FastAPI, Django), Go (Gin, Fiber), Java (Spring Boot). Databases: PostgreSQL, MongoDB, Redis, ClickHouse, DynamoDB. Message queues: Kafka, RabbitMQ, AWS SQS. GraphQL (Apollo, Yoga) + REST + tRPC. Authentication: Auth0, Clerk, NextAuth, custom OAuth.
Next.js 16 (App Router, Server Components, Server Actions), React 19, Vue 3, Svelte 5. Mobile: React Native (Expo), Flutter, native iOS (Swift) and Android (Kotlin) when needed. Styling: Tailwind CSS v4, shadcn/ui, Radix, Material UI. Build tools: Turbopack, Vite, Bun.
AWS (Lambda, ECS, Bedrock, S3, RDS, CloudFront), Google Cloud (Cloud Run, Vertex AI, BigQuery), Azure (App Service, OpenAI), DigitalOcean. Infrastructure-as-code: Terraform, Pulumi, AWS CDK. CI/CD: GitHub Actions, GitLab CI, CircleCI. Containerization: Docker, Kubernetes (EKS, GKE). Monitoring: Datadog, Sentry, Grafana, OpenTelemetry.
Industries
AI engineering looks different across industries. Compliance, data sensitivity, latency requirements, and user expectations all vary. We've shipped production systems in these verticals since 2018.
Computer vision for quality inspection, predictive maintenance models on time-series sensor data, demand forecasting, AI-assisted scheduling. We've integrated with SAP, Oracle, and proprietary MES systems. Edge deployment (NVIDIA Jetson) for factory-floor latency requirements.
AI tutors, adaptive learning paths, automated grading, content generation for course material, anti-cheating proctoring. Multilingual support (English, Vietnamese, Japanese, Korean) and accessibility-first design (WCAG 2.1 AA) for school deployments.
FAQ
Top questions from CTOs and founders evaluating us against agencies and offshore vendors.
Our automation packages start at $20,000 for fixed-scope AI projects (typically 4-6 weeks). Startup MVP packages start at $5,000 for 8-12 week engagements. We don't take projects below $5K — the discovery, documentation, and handover overhead doesn't make sense for smaller scopes. We'd rather refer you to a freelance marketplace than do a half-job.
Always fixed-price for project work. We commit to a scope, a timeline, and a price — and we don't change them unless you change the scope (which triggers a formal change order). For ongoing engagements (dedicated team), we use monthly retainers with a fixed senior engineer roster. No mystery invoices, no surprise overruns, no change-order games.
Every engineer on our team has 5+ years of production experience. Median tenure is 8 years. Half came from Toyota, Sony, Rakuten, Smartnews, FPT, VNG, or unicorn startups. We don't hire juniors and pass them off as intermediate — we don't have juniors at all. You get tech leads working directly on your code, not behind an account manager.
You own 100% of the IP we build for you — code, models, fine-tuned weights, documentation. NDAs are signed before any discovery call. Master Services Agreements default to Singapore law (via NKKTech Global Pte. Ltd.) for international clients; Vietnam law (via NKKTech Global JSC) for Vietnam-domestic. Custom jurisdictions on request.
Hanoi is GMT+7. We routinely overlap 4-6 hours with US East Coast (your morning, our evening), 8-10 hours with US Pacific (Mondays for them = Tuesday morning standup for us — works well), and full-day overlap with Japan, Korea, Singapore, Australia. Most senior staff work flexible hours when client coordination requires it.
Yes — we offer a structured talent-transition program. After 6+ months of engagement, you can convert any team member to a full-time hire on your payroll with a one-time transition fee (typically 1-month salary equivalent). About 12% of our placements have been converted to permanent hires by clients in the past 3 years. We don't do non-poach clauses.
Free 30-min discovery call. Proposal in 3 days. Kickoff in 2 weeks.