Become a data company.Empower your experts.
We enable your key people to solve your toughest problems by collecting, storing, and unifying operational data. With open source tooling and the falling cost of modern data infrastructure, now is the time to build intelligence for industry.
The Problem
You're responsible for results you can't fully see.
You carry accountability for production, uptime, and performance. But the information you need is fragmented across systems, teams, and formats that were never designed to work together.
Data scattered everywhere
Critical information lives in PLCs, historians, MES systems, maintenance logs, and people's heads. There's no single place to look, so getting a complete picture means chasing a dozen sources and hoping nothing falls through the cracks.
Always one step behind
By the time a production issue surfaces in a report or shift meeting, the damage is already done. You spend time reconstructing what happened instead of preventing what comes next.
No shared source of truth
Maintenance has one view. Operations has another. Leadership is working from last week's summary. Decisions get made on incomplete, inconsistent data, and everyone in the room knows it.
The Solution
We unite your data. Your team does the rest.
We connect the systems your plant already runs into a single, coherent data environment your people can actually act on.
Industrial Data Infrastructure
We architect the pipelines, lakehouses, and streaming layers that turn raw operational data into durable, queryable assets — built to scale as your automation ambitions grow.
Delta Lake · Kafka · Spark · dbt · Azure · AWS
Industrial Analytics & BI
We build the dashboards, KPI frameworks, and reporting layers that make operational data consumable by plant managers, logistics coordinators, and executive leadership — not just data engineers.
Power BI · Grafana · dbt · SQL · Python
Industrial Intelligence
We deploy the ML models and agentic systems that learn from your process data — detecting anomalies, predicting failures, and acting on your behalf before problems reach the floor.
Python · PyTorch · MLflow · FastAPI · Edge inference
Your Path Forward
Our Process
Every engagement follows a defined three-phase process, from discovery through delivery, with named deliverables at each stage. You always know what you're getting, when you're getting it, and what it costs.
Discover
We spend the first phase on-site (or remote) mapping your current architecture, understanding your data topology, and identifying where quality breaks down. You'll receive a Current State Assessment before implementation begins.
Design
Our team produces detailed design documentation that your internal team, IT department, and vendors can all work from.
Deliver
Implementation is milestone-based with documented handoffs at each stage. We build for operability, and every integration we deliver comes with documentation your team can maintain.
What You Gain
When your data is unified, your team is always a step ahead.
Catch issues as they happen
Not in the shift report. Not in the morning meeting. When a process deviates, your team knows, with enough lead time to act.
One source of truth
Maintenance, operations, and leadership all work from the same data. No more competing spreadsheets. No more version-of-record arguments.
Intelligence your whole team can use
Not just your data engineers. We build dashboards and alerting layers designed for plant managers and operators, the people closest to the problem.
About the Firm
Built by Practitioners
Signal Industrial Intelligence was founded on a straightforward observation: People do their best work when they are empowered to solve their own problems.
Our team combines manufacturing and logistics operations experience with modern data engineering practice. We've stood on plant floors and built the dbt models that turned that data into P&L-visible outcomes.
We operate as a focused, senior-level advisory and implementation firm. Every engagement is led by experienced practitioners, not passed to junior staff after a sales call.
About the Firm →“We've stood on plant floors and built the dbt models. We don't outsource.”
Industries Served
Our Domains
We've worked inside manufacturing plants, 3PL warehouses, and freight docks. We understand operational rhythms and equipment ecosystems, not just technology stacks.
Discrete & Process
Manufacturing
- Assembly lines · Batch processing
- Quality control · OEE tracking
- Predictive maintenance
Logistics &
Distribution
- 3PL operations · Fleet telematics
- WMS integration · Yard management
- Throughput analytics
Agriculture &
Agribusiness
- Commodity trading · Precision ag
- Process optimization · Data cleansing
- Harvest analytics
If you're still solving production problems after they happen, it's time to change that.
Most engagements start with a 60-minute discovery session. This is an honest conversation about where your operation is today and what digital transformation would actually look like for your team.
Schedule a Discovery Session →Or reach us directly at info@signaliiq.com