Sensa Unity — Industrial data platform for high-frequency operational data
Sensa Unity turns time-series, event, and video data into trusted, user-centric data products that domain experts can use directly and that downstream analytics and AI systems can consume reliably, at scale across assets, sites, and teams.
What Sensa Unity delivers
High-frequency operational data is difficult to use for real value because it is hard to trust, hard to use, and hard to scale beyond local initiatives. Sensa Unity addresses these prerequisites end-to-end, from capture to reusable data products, so valuable use cases can move from first deployment to organization-wide capability.
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
Data Capture and edge processing
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)
Create new data products (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
Data Processing and Enrichment
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
Data Storage
Built for volume, retention and isolation
Sensa Unity supports multiple consumption paths depending on role and workflow.
For domain experts and operational teams
Fully managed Grafana environment, pre-connected and prepopulated with standard dashboards
Supports exploration, operational follow-up, alerting, and annotation
Enables lightweight extraction (e.g., to Excel) where needed
For data engineers and power users
Python SDK for use in Jupyter notebooks or IDE workflows
DataOps pipelines for systematic development and deployment of data products
For integrators and developers
High-performance REST APIs for integrating data products into downstream systems and applications
Data access
For domain experts, engineers, and downstream systems
Context and governance (built for industrial reality)
Industrial environments change continuously, assets are modified, sensors drift, and processes evolve. Sensa Unity preserves operational context through metadata and a dynamic model so data remains interpretable over time and reusable across teams and use cases.
Sensa Unity continuously monitors and exposes data quality signals to establish Trusted Data from raw signals through to curated data products.
Built to integrate with your existing stack
Most capable organizations already have strong tooling for low-frequency relational data, reporting, and business intelligence. Sensa Unity is often deployed as a complementary layer that closes the gap for high-frequency operational data and provides trusted, reusable data products without forcing a rip-and-replace of existing investments.
AI enablement (restrained, production-oriented)
Sensa Unity is designed to enable reliable analytics and AI by providing trusted, contextualized data products and consistent interfaces that downstream AI solutions can consume safely. We focus on the foundations required for production usage: data quality, context over time, access control, and repeatability across assets and teams.
Easy to start. Built to scale. Built to integrate.
Many organizations are unsure where to start with high-frequency operational data or lack dedicated capacity to work with these data types. Because Sensa Unity is end-to-end, we support onboarding, data setup, and identification of initial high-value use cases, so customers move quickly from data to operational impact.
As adoption grows, the same platform supports production-grade operations, governance, and scalable rollout across assets, sites, and teams.
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
Quality signals and context preserved over time
User-centric data products
Intuitive for domain experts and consumable by downstream systems
Scalable by design
Repeatable rollout across assets, sites, and teams
Integrates with existing platforms
Complements relational stacks and enterprise analytics investments
