Better Data,
Better Decisions

A tool for Industrial Engineers to
model data & solve business problems with the siloed data they already have.

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How does it work?

Manufacturers have plenty of operational data.

But all that data lives in disconnected systems and relies on institutional expertise to make it useful.

The Fix

Connect siloed systems and turn data into better decisions.

The Fix

Connect siloed systems and turn data into better decisions.

Infohub Makes Your Data Ready To Use

Infohub Makes Data

Ready-To-Use

"Infohub is the standard tool at our breweries to unite systems for information and reporting."
Rowan Ray
ABInBev

Raw data  ➡ trusted information

Most manufacturers have plenty of operational data, but it lives in disconnected systems and rarely arrives in a form that is ready to use.

Engineers and analysts end up rebuilding the same KPIs, calculations, and events every time they need answers.

Empowering World Leading Operations For Over A Decade

Discover How Infohub Can Help

Once trusted operational information is produced and shared, it becomes the perfect foundation to build on.
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Trusted Information Makes AI Useful

AI struggles with raw operational data.

Flow’s AI Gateway connects agents directly to the trusted KPIs, events, and operational information produced by Infohub.

Infohub continuously produces structured, context-rich operational information.

As a result, AI agents can answer plant questions instantly and accurately.

AI hallucination is a deal breaker in our world.

Instead of guessing from raw tags or fragmented data, your
 AI works from the same trusted information your teams and applications depend on.

AI Gateway comes with 20+ prebuilt tools that allow AI to collaborate with Infohub models to deliver reliable answers.

We built them to ensure you would have immediate success.

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Without Infohub, Operational Information Falls Apart

When you try to solve your data-ready problem without the right solution, you create even more pain. Don't make the same mistake.
01
The Data Lake Trap
02
The Historian Limitation
03
It's All In Excel
04
The Custom Platform
Raw Data Without Structure

Sending all raw data to a cloud lake sounds simple, but without structure and governance it quickly becomes a dumping ground.

Analysts waste time searching and reshaping data than producing useful insight.

Missing information management

Historians are excellent at storing time-series data, but operational calculations often live inside individual systems.

As plants grow, maintaining consistent KPIs across sites becomes difficult.

Multiple Versions Of The Truth
Spreadsheet use requires data must be manually exported and refreshed, introducing delays and errors.
Over time different versions of the same KPI appear, each calculated slightly differently, leaving the organization with several competing versions of the truth.
Custom means
Endless projects
Building your own platform seems appealing at first, but quickly becomes a long-term software engineering project.
Managing pipelines, transformations, governance, and integrations becomes a major technical burden.

See Infohub In Action

The fastest way to understand Infohub is to see it in action.
Let us guide you through a private demo of how to build
a unified data solution with Infohub.
Together, In Our Live Demo We Will:
  • Turn raw data into trusted information
  • Build a dashboard that empowers teams
  • Use AI Gateway to answer operational questions
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The strategy behind turning raw data into trusted information.
If you’d rather start with the strategy, you can also download our whitepaper explaining the full framework.
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Level Up Your Historian, Completely Free Forever

We built Timebase's Time Series Data Historian, to ensure you have unrestricted access to your time series data. You heard that right, a completely free data historian just for manufacturing!

It's free because manufacturers deserve a reliable data historian, great trending, and open data access at their fingertips. Download a copy and learn more at www.timebase.com.

Learn More

Data Into Information

With your data sources unified, Flow is ready to turn raw data into contextualized information, putting it in the hands of the men and women that can drive change in your organization.

Create a Model

Build and manage an information model of the key metrics and events that matter to your organization. Govern both the data you care about as well as the engineering and expressions used to turn that data into actionalbe information.

Calculate and Transform

Deploy your model and watch as Flow's data engines go to work, continuously processing thousands of KPIs and events. All the results are stored in the Flow database and will automatically recalculate if any of the underlying data changes.

Distribute the Results

Stream this new information in real time, landing it in your data lake (now rich with context!) in front of your people, or send it to other applications and databases. Flow integrates with your other platforms ensuring your data is available.

Define How Data Is Processed Into Information

These three steps are necessities for turning manufacturing data into shared information. Each is included with every Flow license and is the secret to building analytics architectures that actually scale.

Sound familiar? They should. Flow is the first commercially available Unified Analtyics Framework and follows the best practices as outlined in a UAF.
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Learn more about the UAF here.
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Step One: Create an Information Model

Flow is ideal for building an information model of metrics to improve production efficiency, increase quality, drive maintenance decisions, measure utility or material consumption, understand downtime, and monitor adherence to production plans. Templatized Flow models are centrally managed, honoring enterprise-established business rules and providing governance, while remaining flexible. Operations deploy template instances and add their own site-specific context. Since Flow information models are not hard coded to specific data sources, each deployed instance is adaptable to the site’s environment, regardless of the system architecture.
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Step Two: Deploy Intelligent Execution Engines

Data Engine
Flow’s data engine excels at KPI calculations. It connects operational databases and servers to join data points from different systems, cleanse data, and slice it into context-rich KPIs. The engine handles the rerunning of calculations, versioning results, and allows for KPI interrogation, letting users drill down to examine raw data within the original source. Trust is essential, and with Flow, you can be confident that the information driving your operations is solid.

Message Engine
The message engine seamlessly integrates data into the organization's existing notification and communication tools, such as email, SMS, Microsoft Teams, and Slack. By delivering real-time notifications and updates through these familiar platforms, it ensures that stakeholders receive critical information in a timely and efficient manner, enhancing communication and responsiveness across the organization.

Integration Engine
The integration engine automates data streaming to various databases, data lakes, and BI tools, either on a triggered or scheduled basis. It matches the schema of target systems, facilitating seamless data integration, ensuring that all enterprise systems are synchronized with the latest information, and providing a unified, accurate data flow across the organization.
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Step Three: Provide Universal Information Access

With new calculations and KPIs created, Flow becomes your hub to share contextually rich information with other applications and people at your plants and within the entire enterprise. A corporate Flow instance connects your site deployments, and all underlying data sources, to your data teams and advanced applications. Flow unifies a myriad of operational database formats that can be queried without requiring knowledge of their structure and return results in a single standard schema. As more and more subject matter experts use Flow, their expertise further enriches the information before additional analysis or data warehousing is completed.
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Learn Exactly How Flow Works

HOW FLOW WORKS

A UNS (Unified Namespace) Or A UAF (Unified Analytics Framework)?

Flow Software believes in a Unified Analytics Framework, but you might have read about a Manufacturing Data Hub as well. What is it? It's an architecture that is designed to take your Unified Namespace (UNS) and expand the collection and sharing of real time data to include calculated KPIs and access to historic databases.

Imagine what you could do if you had a scalable platform built specifically to transform OT and IoT data streams into analytics-ready information. A way to connect all of your data producers and consumers, already plugged into your UNS, to all of the raw historical data living in other databases. With Flow's Infohub in your architecture, this is possible today.
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Learn More
Better Data, Better Decisions.

At Flow Software, we exist to give teams decision-making superpowers.

We’re a driven, curious, and dedicated global team, committed to turning raw data into actionable insights since 2011.

Guided by our core values, we empower businesses to elevate their operations, embrace innovation, and achieve lasting success. Remote by design and lean by choice, we deliver solutions that simplify complexity and inspire smarter decisions.

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Building 7, Suite 250
Austin TX 78730
PO Box 161451
Austin TX 78716
(512) 813 7747
information@flow-software.com
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