01
Artificial Intelligence
AI assistants, RAG knowledge bases, vision, prediction models, and workflow automation.
AI · Cloud · IoT · Integration
AI integration ×
enterprise automation ×
cloud platforms
SAINSO TECHNOLOGY · BUILD AI THAT RUNS
Sainso Technology delivers AI assistants, enterprise knowledge bases, LINE / ERP / CRM integrations, IoT data platforms, and cloud systems. One engineering team handles discovery, development, deployment, and long-term operations, so AI can move beyond demos and into daily work.
30 minutes · no documents required · reply within 2 business days
聖索科技
Sainso Technology
SAINSO
AI Systems Integration
info@sainso-tech.com
sainso-tech.com
No. 7, Lane 262, Zhenxing Rd., East Dist., Taichung City 401
Core Services
Five core capabilities
connected into one delivery path
From AI models, system integration, and software engineering to cloud and IoT connectivity, Sainso delivers working systems instead of fragmented vendor handoffs.
02
System Integration
ERP / CRM / payment / LINE / third-party API integration and data synchronization.
03
Software Development
Websites, admin panels, SaaS products, mobile apps, and custom enterprise systems.
04
Cloud Services
AWS / GCP architecture, deployment, automation, monitoring, and cost optimization.
05
IoT Applications
Device connectivity, sensors, edge computing, and cloud data platform integration.
In-house Solutions
Reusable AI solutions
We turn repeated industry problems into composable solution modules. Start with one module or plan a complete enterprise AI platform.
01↗
AI Smart Router
Reduce multi-model API cost and operational complexity
A routing layer for multi-model AI products and internal tools. Centralize model choice, fallback, cost monitoring, and usage controls without locking business logic to one provider.
Infra · LLM Router
View details →02↗
DocGen TW
Help sales, legal, and PM teams produce standard documents faster
A document AI workflow designed for Taiwanese legal and business contexts. It combines templates, rule checks, and LLM review to standardize document production.
AI · Document Generation
View details →03↗
AI BizHub TW
Bring multiple AI tools into one manageable enterprise platform
A subscription-ready AI tool hub for SMEs and enterprise teams. Combine customer service, documents, reports, marketing, and HR modules as adoption grows.
Enterprise · Digital Transformation
View details →04↗
AI Content Publishing SaaS
Reduce the effort behind weekly multi-channel publishing
A content operations platform for marketing teams. It turns ideas, drafts, editing, scheduling, and distribution into a repeatable workflow.
SaaS · Content Automation
View details →05↗
AI Influencer Factory
Build a consistent virtual brand character that can operate over time
A toolkit for brands and creators that need consistent AI characters. Define persona, voice, content pillars, scripts, and social assets for long-term operation.
AI · Content Generation
View details →06↗
GiftIt TW
Optimize seasonal conversion with a context-aware recommendation engine
An AI recommendation module for e-commerce, member systems, and seasonal campaign pages. Match gift contexts, recipient profiles, and product data to lift conversion.
E-commerce · Recommendation
View details →
Not sure where to start? Let us help you choose →
Project Showcase
AI systems integration and
software development cases
Public-safe project cards showing Sainso's delivery range across AI automation, business systems, lead intelligence, document workflows, commerce tools, and vertical industry software. Several are Sainso's own live products on owned domains — click to try them directly; client-deployed modules link to a consultation.
No public-safe registry projects are available yet.
Case Studies
What AI looks like
in real operations
The following anonymized examples show how Sainso integrates AI and systems across industries. Client names remain confidential under NDA.
38%Downtime reduction
200Machines connected
12 secAverage response time
71%Auto-resolution rate
Manufacturing / Semiconductor
38%↓
Unexpected downtime reduction
Semiconductor plant · Equipment anomaly alerts
Problem200 machines relied on manual checks, with maintenance records spread across systems.
SolutionIntegrated sensor data, maintenance history, and incident logs into an IoT data platform and prediction model.
ResultUnexpected downtime dropped by 38%, with key anomalies flagged roughly 30 minutes earlier.
Outcome-ledIoT Gateway · ML · AWS
Retail / Chain Brand
12sec
Average response time
Retail chain · LINE AI customer service
ProblemPeak wait time reached 6 minutes, and member/order data had to be checked manually.
SolutionBuilt a RAG knowledge base and connected LINE OA, ERP, and customer service workflows.
ResultAverage response time fell to 12 seconds and auto-resolution reached 71%.
Outcome-ledRAG · LINE OA · ERP
Finance / Investment Research
+38%
Strategy hit-rate improvement
Decision assistant · Multi-strategy research platform
ProblemTrading decisions relied on instinct, while backtests, news events, and journals were hard to compare.
SolutionIntegrated market data, strategy signals, LLM summaries, and trade journals into daily decision reports.
ResultStrategy hit rate improved by 38%, with each decision backed by reviewable context.
Outcome-ledLLM · TimescaleDB · Dashboard
Aesthetics / Med-spa
2.4x
Online inquiries (indicative)
Southern med-spa clinic · Brand site & local SEO
ProblemRelying only on social and word of mouth, with no real website and poor Google visibility.
SolutionBuilt a bright one-page brand site (responsive, structured data, local SEO) from a single content source.
ResultDiscoverable in organic search, with online consultation bookings up ~2.4x (indicative) and a consistent brand image.
Outcome-ledNext.js · Tailwind · SEO
Automotive / Tire Retail
70%↓
Stock/quote lookup time (indicative)
Central-Taiwan tire chain · ERP + LINE dual system
ProblemList prices, specs and stock were scattered in the ERP; in-store quoting was manual and VIP discounts inconsistent.
SolutionRead-only ERP integration plus an admin console and LINE bot for live brand/spec/price lookup, stock masking and automated VIP discounts.
ResultQuoting and stock lookup time dropped sharply (~70%, indicative), with consistent VIP pricing and fewer manual errors.
Outcome-ledERP integration · LINE Bot · Admin
Healthcare / Long-term Care
100%
Care records digitized (indicative)
Long-term care provider · Care management & handover
ProblemPaper care records were scattered, handover and auditing were hard, and multi-site access needed isolation.
SolutionBuilt append-only ledger-style care records with admin and LINE clients, multi-tenant role isolation and timezone/audit handling.
ResultCare records fully digitized, handover and audits traceable, and cross-site data securely isolated.
Outcome-ledFastify · Prisma · SQL Server · LINE
Process
Four phases
to make AI operational
Every project moves through measurable phases with deliverables and acceptance criteria, so progress stays visible.
01 · DISCOVER
Discovery
Map processes, data sources, constraints, business goals, and success metrics.
DeliverablesDiscovery report · current-state map · success metrics
02 · DESIGN
Architecture
Plan modules, APIs, data models, cloud architecture, permissions, and delivery scope.
DeliverablesArchitecture document · API spec · fixed quote
03 · BUILD
MVP Build
Validate core logic quickly, then iterate into production-ready workflows and tests.
DeliverablesMVP demo · test report · deployment environment
04 · OPERATE
Operations
Monitor, optimize cost and models, and grow the system as a long-term asset.
DeliverablesOperations plan · monitoring dashboard · monthly optimization report
About Sainso
Based in Taichung
building practical systems for real work
Sainso Technology is an engineering team with experience across AI, cloud, backend systems, IoT, and enterprise workflow integration. We believe good technology is proven in systems that actually run.
From the first discovery conversation to long-term operations, the people who build the system stay close to the client.
TaichungDirect engineering team accessAWS / GCP experienceSecurity process aligned with ISO 27001 controlsCustomer data is not used to train models
Team Capabilities
Capability matters
more than placeholder bios
Sainso presents the team through verifiable delivery capabilities: discovery, architecture, development, deployment, and continuous optimization by the same core team.
01
AI application architecture
RAG knowledge bases, multi-model routing, tool calling, evaluation flows, and data security design.
02
Enterprise integration
LINE, ERP, CRM, payments, membership systems, and internal APIs connected into maintainable data flows.
03
Cloud and platform engineering
AWS / GCP, CI/CD, monitoring, permissions, cost optimization, and reliability design.
04
IoT data applications
Device connectivity, edge collection, time-series data platforms, anomaly detection, and dashboards.
Insights
Practical notes
from AI and systems work
Not marketing fluff. These are topics the team has encountered, debated, and refined through projects.All insights →
2026 · 08 · 05
Turning Manual Data Checks into Maintainable Automated Rules
A practical guide to extracting human judgment, designing rule contracts, and deploying automated data checks with safe failure handling.
2026 · 08 · 04
Designing a Trusted Data Layer for Reports and AI Q&A
A practical architecture for giving dashboards and AI assistants consistent, traceable, and governed access to enterprise data.
Data2026 · 08 · 04
Monitoring Schema Drift in Data Pipelines: Contracts, Detection, and Safe Recovery
A practical framework for detecting schema drift, assessing downstream impact, and recovering pipelines without losing data.
DataFAQ
Questions we often hear
How is Sainso different from a traditional SI vendor?
Traditional SI work often splits the problem across vendors. Sainso starts with the final operating system in mind and keeps planning, development, AI implementation, and operations within one engineering team.
Can we adopt AI without a mature data system?
Yes. We usually start with 2-4 weeks of discovery to map data sources, process steps, and measurable goals before deciding where AI or automation should enter first.
How is pricing calculated?
We quote by phase and scope rather than open-ended headcount. After discovery, we provide a fixed quote for the agreed build scope.
Will our data be used to train models?
No. Client data is used only for the project, stored according to the client security requirements, and can support private deployment or local LLM options.
Do you provide maintenance after launch?
Yes. Monthly operations and optimization can cover model quality, cloud cost, monitoring, reliability, and workflow improvements.
Where are you based — do you only serve Taichung?
Sainso is based in Taichung and serves clients across Taiwan. Most discovery, development and operations run remotely, with on-site interviews and training when needed; we also work with clients in other cities and remotely.
Which industries and company sizes do you fit?
From SMEs to enterprise IT teams. We have delivered across manufacturing, retail, healthcare, finance, automotive and tires, beauty, hospitality and long-term care, picking the fastest-impact AI or automation entry point for your data.
Contact
Turn what you are considering
into an executable plan
Tell us your industry, current systems, AI needs, and budget range. We will reply within 2 business days and arrange a free 30-minute consultation.
No. 7, Lane 262, Zhenxing Rd., East Dist., Taichung City 401, Taiwan
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