Better Decisions. Made Faster.

We're building the decision-first digital twin for supply chain leaders who need to navigate complex trade-offs with confidence.

Our Mission

Supply chain decisions are getting harder, not simpler. Every major decision now touches more variables, more teams, and more downstream consequences. Cost, service, risk, and time are tightly coupled, optimizing one often degrades another.

Yet most decisions are still made with static models, partial views, or gut instinct under pressure. The result is slower alignment, unintended consequences, and missed opportunities that only show up after it's too late.

Hylios exists to change that. We give supply chain leaders a shared, objective foundation for making better decisions under pressure.

The Problem We're Solving

Static Tools

Spreadsheets and consulting models are slow to update and expensive to change. They can't keep up with the pace of decisions.

Local Optimization

Execution systems optimize locally but can't evaluate network-wide trade-offs. They miss the big picture.

Limited What-If

Planning tools struggle to answer "what happens if..." across an entire supply chain. Scenarios are hard to create and compare.

Our Approach

Hylios creates a digital twin of your supply chain using available data, inferred structure, and operational assumptions. From there, teams can run fast what-if scenarios to evaluate how changes affect cost, service, risk, and time across the entire network.

Starts in hours

No integration project to start

Gets more exact

Add your files, then connect SAP or Oracle (coming soon)

Shows its sources

Every number says where it came from

What We Believe

Decision-First

We build for real decisions, not dashboards. Every feature exists to help teams make better choices with confidence.

Clarity Over Complexity

Supply chains are complex enough. We focus on making trade-offs visible and understandable, not adding more noise.

Human Judgment

Technology should support judgment, not replace it. We give teams the information they need to make the call.

Hylios at a glance

What it does: Models your supply network and shows how a change moves cost, service, risk, and time before you commit. It does not tell you what to decide; it makes the trade-offs explicit and leaves judgment with people.
Plans: Intelligence (free daily brief on your company and role), Intelligence Pro ($19.99 per month or $199.99 per year), Twin (a digital twin of your own network, started with a working session), and Enterprise (custom).
Network diagnostic: A fixed-fee, 4 to 8 week engagement ($50,000 to $100,000) that builds a twin of a shipper's network from public data and trues it up against its actuals.
Deal Intelligence: Outside-in, pre-LOI supply chain diligence packs for private equity and corporate development, $15k to $60k per pack.
Supply Chain Pulse: A daily index of global supply chain stress from 0 (calm) to 100 (severe), with its full history free to download.
Data: Starts from public sources (filings, earnings transcripts, facility footprints, news, port and customs data, freight-rate indexes), then adds the files a customer shares and, coming soon, direct connections to SAP S/4HANA Cloud and Oracle Fusion Cloud SCM. Every number is labelled with where it came from. Customer data is never used to train shared models.
Case study: Jaguar Land Rover, Supply Chain Innovation Challenge: Hylios mapped an N-tier aluminum supply network and assessed its risk, emissions, and regulatory exposure.
Headquarters: Phoenix, Arizona.
Founder: Andrew O'Hara, Founder & CEO.
Contact: sales@hylios.com

Meet the Founder

Andrew O'Hara

Founder & CEO

Andrew brings years of experience in supply chain strategy and technology. He founded Hylios after seeing firsthand how difficult it is for teams to make confident decisions when trade-offs are hidden in spreadsheets and siloed systems. His mission is to give every supply chain leader the tools to see consequences before they happen.

Want to Work with Us?

We're building something new and looking for partners who want to shape the future of supply chain decision-making.

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