Systems sit in isolation
Data is spread across business platforms, databases and field devices with inconsistent interfaces, making cross-system collaboration expensive.
Data Platforms & Systems Integration
Connecting scattered data into
a governable business foundation
We connect business systems, field devices and data platforms, handling real-time and batch data in one place to give business collaboration, management analysis and AI applications a stable data foundation.
GovernableShareableReusable
Business systemsDevices & protocolsData governanceSecure sharingApplication services
What we solve
There is no shortage of data —
only of data you can actually use.
For enterprises with many systems and complex data sources, looking to build a unified data foundation or connect devices, platforms and business applications.
Definitions don't align
The same metric carries several definitions across departments, with no unified management of data quality, master data or ownership.
Sharing lacks control
Data needs to move, but unclear permissions, masking, auditing and security boundaries prevent it from being served at scale.
What we provide
Start by connecting one kind of data,
then build toward unified services.
Delivery can be staged around a single system integration, field data ingestion, or an enterprise-wide data platform.
Multi-source and API integration
We connect databases, business systems, files and third-party services into unified, stable and observable data exchange paths.
SCADA, IoT and video ingestion
We adapt to field devices and heterogeneous protocols for real-time acquisition, edge processing, condition monitoring and platform coordination.
Real-time and batch data platforms
Storage, compute, exchange and service architecture designed around your latency and scale requirements.
Data governance and master data
We establish the data catalog, metric definitions, quality rules, master data and ownership.
Masking, permissions and audit
Tiered authorization, data masking, access control and usage auditing applied throughout the sharing process.
Delivery standards
Getting data in is only half of it —
it must stay trustworthy and usable.
Delivery covers interfaces, data, governance and operating mechanisms; a one-off migration or a dashboard is not our definition of done.
Reliably connected
Interfaces, protocols and sync paths carry status monitoring, error logging and recovery mechanisms.
Interface inventory · Monitoring planClearly defined
Key data and metrics have explicit sources, definitions, owners and quality rules.
Data catalog · Metric definitionsSecurely shared
Data access follows authorization, masking and audit requirements, with usage fully traceable.
Permission matrix · Audit recordsReusable as a service
Standardized APIs, datasets and metric services support later systems and AI applications.
Data services · Usage guideWhy SIHENGTAINUO
We don't just connect systems —
we understand how data supports the business.
We bring field data, enterprise platform and business system experience together, handling the complex integration boundaries between the device layer and the application layer.
Field and enterprise coverage
We span device protocols, real-time data, business databases, video and third-party platforms.
Governance designed alongside integration
Interface work defines data semantics, quality, permissions and ownership at the same time, reducing later rework.
Security without blocking flow
Shareable data services within permission, masking and audit constraints.
Room for what comes next
The data architecture accounts for how analytics, agents and AI applications will call it.
Project consultation
Clarify the business problem first,
then decide how the system should be built.
Tell us the business problem to solve, your existing systems and the outcome you expect — we usually reply within 1 business day.