We help distributors and manufacturers apply AI and machine learning in practical, measurable ways—from pricing and forecasting to automation and customer intelligence.
We don’t chase trends—we deliver tools that solve real problems. Our AI and machine learning solutions are designed to improve profit, accelerate decisions, and enhance performance.
Our AI and ML solutions combine strategic advisory, data engineering, and model deployment—helping you go from proof of concept to measurable performance.
Identify where AI can drive results in your business, assess data quality, and prioritize quick wins that align with your performance goals.
Build predictive, prescriptive, and classification models for pricing, forecasting, and operations—turning data into daily decision power.
Reduce manual effort and errors by embedding AI-driven automation across workflows, freeing teams to focus on higher-value work.
Integrate AI directly into your existing tools or build custom applications powered by Catalyst™ to unlock new levels of performance.
Catalyst™ enables faster AI deployment by combining reusable components with flexible customization. It reduces complexity and shortens the path from concept to production.
Catalyst™ provides a library of pre-engineered AI components—data pipelines, workflows, and model integrations—designed to plug into your systems.
Catalyst™ allows our teams to deliver working AI applications faster, while ensuring every model fits your data and your business.
Distributors and manufacturers have no shortage of data—but the challenge is knowing where and how AI adds value. We focus on practical, high-impact applications that make sense for your business.
Our clients trust us to make AI make sense—delivering measurable outcomes that strengthen profit, precision, and performance.
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Practical guidance and real-world examples of how AI is driving measurable impact across the industry.
We start with a readiness assessment. It identifies where AI can make the biggest difference—and what foundational work is needed to get there.
No. We often help clients improve data quality as part of the engagement. Our engineering team can clean and prepare your data to support accurate, reliable models.
That depends on the use case. Many clients start with 60–90 day pilots that deliver measurable outcomes before scaling organization-wide.
Automation executes rules; AI learns from data to improve outcomes over time. We design solutions that use both, depending on your needs.
Every model we build is fully transparent. You’ll understand what’s driving the recommendations and have control over how it’s applied—so AI becomes a trusted advisor, not a black box.
From strategy to implementation, we’ll help you apply AI and machine learning to improve profit, performance, and decision-making.