Sensa Unity
The platform for trusted operational data, context, and intuitive data products
Sensa Unity helps industrial teams turn fragmented time-series, event, and video data into trusted data products that people, applications, and Industrial AI can use across assets, sites, and teams.
What Sensa Unity delivers
Industrial data is difficult to turn into value when teams cannot trust it, understand what it represents, or use it in their daily work.
Sensa Unity solves these blockers end-to-end. It captures operational data, makes it trustworthy, connects it to the real operation, and turns it into intuitive data products for people, applications, and AI.
Sensa Edge runs locally as containerized agents or on dedicated Linux servers. It supports high-frequency industrial data types, including dedicated agents for cameras. Time-series and event ingestion supports 300+ plugins, including OPC-UA.
High-performance ingest API: stateless and horizontally scalable (tested to 100k records/ms burst load on a single instance)
Async Python SDK for ingestion, including file-based ingestion support
Edge mapping and preprocessing: basic mapping and edge processing can be performed before data is written to the raw data layer in the cloud
Sensa Edge
Capture operational data close to the source
Sensa Edge connects to industrial data sources and captures high-frequency operational data locally, including time-series, event, and video data.
It is built for industrial environments where data volumes are high, sources vary, and parts of the data need to be mapped or prepared before reaching the cloud.
Sensa Unity supports modern DataOps workflows with pipelines as code and a low-code user experience designed for repeatability and operational control. The orchestration layer is built to scale to thousands of pipelines.
Typical pipeline patterns include:
Clean and validate data
Transform data products (aggregation, unit conversions, normalization)
Enrich with metadata (ERP/context enrichment, mapping facilities to standards)
Anomaly detection and alerting (single/multivariate detection, early event signals, statistical quality measures)
Build new new data products for specific roles, workflows, and decisions (combining datasets and processing workflows, including image extraction/segmentation where relevant)
The objective is to make valuable use cases repeatable and production-grade, not stuck as MVPs.
DataOps Module
Turn raw data into trusted data products
Sensa Unity supports repeatable DataOps workflows that clean, validate, enrich, transform, and combine operational data into reusable data products.
The objective is to make valuable use cases production-grade and scalable, not stuck as one-off dashboards or MVPs.
Data Storage
Built for volume, retention and isolation
Sensa Unity is built to handle large volumes of industrial time-series, event, and video data reliably and cost-efficiently.
Data services use proven cloud and database providers, with tenant isolation and storage patterns designed for uptime, retention, and scale.
Sensa Unity uses leading cloud and database providers for key data services, leveraging proven operational maturity for uptime, reliability, and retention requirements.
Tenant isolation: data stores and stateful services run in fully isolated environments per client
Cost-efficient at high volumes: time-series and video storage optimized with blob storage and compression technologies
Sensa Unity supports multiple consumption paths depending on role and workflow.
For domain experts and operational teams
Operational views and dashboards
Exploration, operational follow-up, alerting, and annotation
Lightweight extraction where needed
For data engineers and power users
Python SDK for notebooks or IDE workflows
DataOps pipelines for developing and deploying data products
For integrators and developers
High-performance REST APIs for integrating data products into downstream systems and applications
Data access
Make data intuitive for every user
Different users need operational data in different forms.
Sensa Unity turns trusted and connected data into data products shaped around each role, workflow, and decision. Domain experts need intuitive operational views. Engineers need APIs and SDKs. Applications and AI need reliable, contextualized data products.
Context and governance (built for industrial reality)
Industrial data only becomes useful when teams know what it represents.
Sensa Unity connects data to the real-world equipment, sensors, systems, locations, processes, and situations it belongs to. As operations change, Unity keeps context connected over time, so data remains meaningful and reusable across teams, applications, and AI workflows.
Sensa Unity also monitors and exposes data quality signals from raw signals through curated data products, so teams know when data can be trusted.
Built to integrate with your existing stack
Sensa Unity does not require a rip-and-replace of existing systems.
Most industrial companies already have historians, control systems, reporting tools, BI platforms, and enterprise data infrastructure. Unity complements these investments by closing the gap for high-frequency operational data and turning raw signals into trusted, reusable data products.
Industrial AI
AI that works from trusted data and real context
Industrial AI is only useful when it understands the data it works with.
Sensa Unity gives AI access to trusted, contextualized data products and consistent interfaces, so it can support exploration, analysis, and workflows without guessing from disconnected raw signals.
With Unity AI in the Data Explorer and AI-assisted onboarding, Unity is moving toward a more guided, self-serve experience for creating, adapting, and scaling data products over time.
Easy to start. Built to scale. Built to integrate.
Many industrial teams know their operational data could create more value, but they do not always know where to start.
Sensa Unity provides a guided path from fragmented data to the first trusted data products, without requiring a large internal data team or a long bespoke project.
With AI-assisted onboarding and Unity AI in the Data Explorer, this journey is becoming easier, faster, and more self-serve over time. From the first data product, the same foundation can scale across assets, sites, teams, and use cases.
Want to learn more?
Book a demo and let us know who’s joining. We’ll tailor the session to your team, whether you want an operational walkthrough, a technical deep dive (APIs/SDK, DataOps, security), or both.
Why Sensa Unity
Trusted Data
Know where data comes from, whether it is reliable, and when something has changed
Operational context
Connect data to the equipment, sensors, systems, locations, and processes it represents
Intuitive data products
Shape and present data around each role, workflow, and decision
Scalable by design
Reuse trusted data, context, and data products across assets, sites, teams, applications, and AI workflows
