Industrial Data Acquisition & Analytics

From Industrial Data to Actionable Intelligence.

We connect industrial equipment, acquire operational data, and transform it into dashboards, analytics, and insight.

Optimize and secure your industrial control systems using AI, cloud and cyber — from root cause identification to predictive maintenance.

Industrial motors streaming data into live analytics dashboards
DEVICE ⟶ EDGE ⟶ CLOUD ⟶ INSIGHT● STREAMING

Problems we solve

Your equipment knows more than your dashboards do.

Equipment that isn't connected

Motors, drives and controllers hold valuable data that never leaves the shop floor.

No real-time visibility

Downtime, energy use and quality issues are discovered too late to act.

Reactive maintenance

Failures drive the schedule instead of data-driven, predictive planning.

Capabilities & deliverables

From the sensor to the decision.

All solutions →

Industrial connectivity

Connect a broad variety of industrial assets and systems to a unified data repository.

OPC UA, Modbus RTU/TCP, 250+ protocols

Data acquisition & edge

Private, secure, low-cost edge-to-cloud connections for telemetry and image data.

Edge gateways, acquisition pipelines

Data contextualization

Normalize and enrich factory data into a common data model and lakehouse.

Data model, contextualized storage

Dashboards & reporting

Interactive dashboards to monitor trends, generate reports and set alarms.

Dashboards, PDF reports, mobile apps

Example: water utility

From pump data to operational insight.

Pump

Run status, vibration and bearing temperature from every pump station.

Flow

Flow rate per district zone, trended around the clock.

Pressure

Pressure at network junctions, sampled in near real time.

What the data tells you

  • Find leaks in hours, not weeks. A 3 AM pressure drop in one zone points crews to the likely leak location.
  • Service pumps before they fail. Rising vibration trends schedule maintenance on your terms, not the pump's.
  • Cut energy waste. Comparing flow against power draw reveals pumps running outside their best efficiency point.

Industrial data architecture

Five layers. One connected data flow.

Data pathStreaming
Device
Edge
Cloud
Insight

Activities

Survey assets and protocols; connect motors, drives, contactors and PLCs via OPC UA, Modbus RTU/TCP and 250+ machine protocols.

Deliverables

Connectivity map, edge gateway configuration.

Outcome

Equipment is online and streaming.

AI-driven operation optimization

Use cases that pay back.

01

Root Cause Identification

Quickly identify root causes of quality fluctuations and defects to increase quality and consistency, eliminate sources of defects, optimize maintenance schedules, improve machine calibration, and offer targeted operator training.

02

Machine-Level Anomaly Detection

Tap into a real-time stream of machine sensor data to detect trends and anomalies as they unfold across multiple sensor dimensions such as noise, vibration and temperature.

03

Predictive Maintenance

Deploy a solution in weeks using pre-built ML models with live and historic data — and shift from facility-by-facility maintenance to a global view of machine health.

04

In-line Quality Control

Monitor production in real time to detect quality deviations as they happen, before defects reach the end of the line.

Explore use cases →

Business benefits

Data that changes how you operate.

Fuel team productivity

Turn manufacturing engineers into data scientists with easy-to-use implementations.

Drive data transformation

Real-time, edge-to-cloud data access and visibility across manufacturing operations.

Deploy AI in production

Help factories run faster and smoother by using AI and data to optimize cost and production.

Why SPS

An industrial data partner.

  • 01End-to-end delivery: connectivity, data platform, dashboards and analytics
  • 02Hands-on experience with ABB devices, OPC UA and Modbus
  • 03Built on proven platforms: Google Manufacturing Data Engine and AppSheet
  • 04From proof of concept to multi-site rollout

Company overview

Software Productivity Strategists, Inc.

Founded
1993
Headquarters
Rockville, Maryland, USA
Team
75+ engineers, security, cloud and AI specialists

History. SPS began as a software engineering firm, consulting on software development productivity for federal and commercial clients. In the late 1990s it extended that expertise into cybersecurity and web infrastructure, and today it builds industry solutions using AI, cloud and connected technologies.

Expertise. Industrial connectivity, data platforms, dashboards, analytics and cybersecurity — applied to helping manufacturers turn operational data into decisions.

Not the SPS exhibition.

Software Productivity Strategists, Inc. is an independent engineering company. We are not the organizer of, or affiliated with, the SPS – smart production solutions trade fair.

Industrial data questionnaire

Tell us about your equipment and data.

Step 1

What do you want to connect?

Step 2

Where is your data today?

Step 3

Primary outcome

Answer the three questions to continue to your data assessment request.