Step 01
Use case and policy framing
Define who benefits, what data may flow, and how success is measured before model selection.
- Stakeholder alignment
- Privacy and retention rules
- Evaluation criteria
AI Agent Development · Shenzhen
AIAgentDevelopmentCompanyinShenzhen
We build AI features and agents that tie to real workflows — not slide decks. That means clear use cases, controlled data access, retrieval you can audit, and monitoring when models drift. Generative interfaces, NLP, integrations, and classical ML where each fits — always with humans accountable for architecture and compliance. Delivered for teams in Shenzhen, China.
Pricing is a fixed price. Get a quote.
OpenAIAnthropicLangChainLangGraphRAGPythonTypeScriptVector searchAWSEvals & observability
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5.0
5.0 out of 5 on Clutch · 2 reviews
Security-first architecture
Access control, privacy by design, and audit-friendly logging. We do not claim a HIPAA or GDPR certification.
Defined response SLA
Production incidents use a response window agreed in the statement of work.
NDA Signed Day One
Confidentiality before discovery. Your data and roadmap stay private.
Technology stack
Tools we use — matched to your product, not a generic checklist
Representative technologies for this service line. We pick concrete libraries and services per project; names below reflect typical engagements.
Models and APIs
- OpenAI
- Anthropic
- AWS Bedrock
Orchestration
- LangChain
- LangGraph
- TypeScript / Python runtimes
Data and retrieval
- Vector stores
- PostgreSQL / MongoDB
- Embeddings pipelines
Safety and ops
- Secrets and tenancy
- Eval suites
- Logging and alerts
How we build AI
Planning, integration, retrieval, and hardening — in one loop
We treat AI like any other production surface: scoped, testable, and observable.
Step 02
Integration and tooling
Wire models to your APIs, CRMs, and internal tools with explicit tool contracts and secrets hygiene.
- Prompt and tool design
- API boundaries
- Human-in-the-loop checkpoints
Step 03
RAG and knowledge
Chunking, embeddings, and retrieval tuned for accuracy and traceability — not generic vector dumps.
- Source grounding
- Citation patterns
- Refresh strategy
Step 04
Ship, monitor, improve
Regression checks, production monitoring, and iteration budgets so quality does not decay quietly.
- Offline and online evals
- Alerting
- Cost and latency controls
Capabilities
Breadth without buzzwords — each technique for a reason
From conversational assistants to structured predictions, we pick the smallest reliable approach that meets the job.
Generative and assistant experiences
Chat and copilots grounded in your content — with UX that sets expectations and handles failure gracefully.
Language understanding and NLP
Classification, extraction, and routing over text so operations teams spend less time on manual triage.
Strategy and integration
Feasibility, vendor choices, and phased rollout so you do not overcommit before data and governance are clear.
ML discipline where models learn from data
When fine-tuning or classical ML wins, we scope data pipelines, training hygiene, and deployment with the same rigor as LLM apps.
Outcomes over demos
We tie deliverables to operational metrics — tickets deflected, time saved, error rates — not novelty.
Architects who respect regulation
Data boundaries, audit logs, and access models are part of design — not an afterthought. We do not claim a HIPAA certification.
Full-stack AI delivery
Backend, data, UI, and model behavior owned together so latency, cost, and UX stay coherent.
Continuous evaluation
Regression suites and dashboards so you see drift, abuse, and cost spikes before users do.
LIFE PLANNING
Skedzu
Formerly Mr Sked. Life-planning SaaS at skedzu.ai: a weekly canvas, metered AI planning, and Google Calendar on paid plans.
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ROOM VISUALIZATION
Zieny
Room-photo visualization and a separate 3D/AR viewer. Zieny publishes Straluma at 3.12% vs 1.91% for engaged visitors (about 63% relative uplift) and 15,097 Tuinmeubelshop renders in three months. Those are Zieny's figures for the product we built.
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DIGITAL GREETING PLATFORM
Premium eCard Platform
A high-volume animated eCard platform covering birthdays, holidays, and seasonal campaigns with premium subscriptions and personalization workflows.
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AI / SEARCH
AI-Powered Search & Optimization Platform(AEO)
AI-driven search and optimization using LLMs, RAG, embeddings, and vector databases for automated insights and relevance.
View case study
BELEEF REWARDS
Swave
Beleef, the Swave rewards app, in eight Belgian cities: Aalst, Antwerpen, Gent, Hasselt, Kortrijk, Leuven, Mechelen, and Roeselare. A bank card or a receipt photo qualifies the reward.
View case studyPRODUCTIVITY AI
AI-Powered Note-Taking Platform
Created intelligent note workflows that improve organization, speed up understanding, and make knowledge retrieval far easier.
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FINTECH
Digital Mortgage & FinTech Platform
Digitized lending workflows to accelerate approvals, improve reliability, and reduce operational bottlenecks across teams.
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HEALTHCARE
Healthcare Management System
Centralized care operations with better patient workflow visibility, stronger reporting, and improved operational efficiency.
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E-COMMERCE
Luxury E-commerce Platform
Scaled international commerce operations with stronger conversion performance, faster fulfillment experiences, and higher retention.
View case studyIndustries
Bringing Transformation Across Industries with Unmatched Innovation
Driving transformation across industries with breakthrough technology, we fuel growth and unlock potential. Our tailored IT solutions empower businesses to thrive in a digital-first world.
See how we help teams win
Case Studies & Insights
We partner with ambitious teams to solve real problems and drive lasting results.
Engineering · Oct 13, 2026 · 4 min read
What Supabase's Oct 30 Change Does NOT Fix for Your AI-Built App
Supabase's Oct 30 default stops new tables from auto-exposing to its APIs. Existing grants, missing RLS, and anon-key reads stay until you fix them by hand.
Software Architecture · Apr 5, 2026 · 15 min read
The Hidden Cloud Costs of Building an Autonomous AI Agent in 2026 (Full Breakdown)
Everyone teaches you how to build an AI agent, but no one talks about how quickly a poorly optimized architecture will bankrupt your AWS account. Here is a line-by-item breakdown of the hidden inference tax of agentic workflows.
AI & ML · Jan 20, 2025 · 10 min read
Why RAG is the Future of Enterprise Knowledge Bases
Fine-tuning is expensive and static. Retrieval-Augmented Generation (RAG) offers a dynamic, secure, and accurate way to chat with your company data.
Development · Jan 15, 2025 · 8 min read
React 19: The Dawn of Server-Side Interactivity
React 19 introduces Actions, useOptimistic, and mostly—React Server Components as a standard. Here is what you need to know to adapt your application architecture.
AI & ML · Oct 26, 2026 · 14 min read
Mastra vs LangChain for Production AI Agents (2026)
Mastra vs LangChain after the demo: durable state, evals, traces, deployment, cost, and human approval. The framework picker is a separate article.
Engineering · Oct 19, 2026 · 11 min read
Is Your Lovable App Production-Ready? A Hardening Checklist for AI-Built MVPs
A launch checklist for a Lovable, Bolt, Replit, or Cursor MVP: Supabase RLS, secrets, Stripe webhooks, backups, deploys, and when to rescue.
Startups · Aug 14, 2026 · 14 min read
Bootstrapping vs VC in 2026: The End of Growth at All Costs
The venture capital model is recalibrating. For 90% of SaaS founders in 2026, bootstrapping to profitability before seeking a Series A—or never raising at all—is the highest-probability path to wealth.
Enterprise · Aug 5, 2026 · 12 min read
Securing SaaS: Zero-Trust Architecture Is Now the Baseline Requirement
Enterprise procurement teams no longer accept a generic security page. If you want to sell your SaaS to Fortune 500s in 2026, Zero-Trust Architecture and automated compliance are price-of-entry.
Development · Jul 28, 2026 · 8 min read
Low-Code for Internal Tools: Stop Wasting Engineering Hours on Admin Panels
Your senior engineers should be building features that drive revenue, not spending three sprint cycles building a custom admin dashboard for the operations team. Retool and its clones have won the internal tools war.
Frequently Asked Questions
Common questions teams in Shenzhen ask about this service.
AI agent work in Shenzhen is a fixed price. A short proof of concept and a production system are scoped separately. Get a quote and we will confirm the number.