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AI-nativeEarly Warning System for mid-market manufacturers and distributors

Catch supply chain risks before they become

Axyo continuously monitors your internal data and external signals, quantifies each risk in dollars, and warns you in time to act, with recommended actions.

6×–15× returnPays for itself many times over
Sits above your ERPNo rip and replace, live within a week
SOC 2 Type II certifiedIndependently audited
The problems

Which of these sound familiar?

Four problems we hear again and again from manufacturers and distributors, and the seven Axyo solutions that catch the risks behind them.

Too muchToo littleDemand
Stockouts and lost salesLate and short shipments

We run out of stock, and orders ship late

1 in 4businesses carried excess stock yet still missed sales3
Parts in stockPart short or late
Supplier riskProduction delays

Suppliers slip, and one part stops the build

50%of US manufacturers say supply problems are growing1
Rising total landed costMargin leakage

Costs rise faster than our prices and quotes

83%of US manufacturers name raw material costs a top challenge1
Dead stockOther excess stock
Trapped working capital

Cash is stuck in stock that doesn’t move

24%of excess stock is now dead stock, double the share in 20242

1NAM Manufacturers’ Outlook Survey, second quarter 2026, 215 respondents (NAM).

2Netstock 2026 Supply Chain Planning Benchmark Report, survey of small and mid-sized business customers: dead stock rose from 12% of excess stock in 2024 to 24% (Supply Chain Dive).

3Netstock 2026 Supply Chain Planning Benchmark Report, analysis of its customers (Supply Chain 24/7).

See how Axyo solves them
Why it keeps happening

A loss rarely has a single cause

01

One loss, several risks

A demand surge, an outdated safety stock and a late supplier can all hit one order. Fix one, miss the others, and the loss still happens.

02

Only 15–20% of items reviewed

Planners focus on the items that matter most. The rest run on system settings that drift out of date, so problems surface late.

03

Warning signs stay buried

Early signs sit across items, orders, suppliers and external signals. Nothing pulls them together or says what each will cost and how long you have.

1Planners typically give close attention only to the 15–20% of items that matter most; the rest are left to system settings or rules of thumb (Logility). A third of planning teams spend most of their time firefighting (AIMMS survey of 320+ supply chain professionals, 2020). Axyo checks every item, every day.

2Share of the yearly supply chain loss for a typical $250M business, in dollars, whose loss scenarios can be detected with internal data alone.

The business case

Supply chain risks cost a typical mid-market company ~20% of operating profit a year.
Axyo prevents nearly half of it.

How Axyo's early warnings work

From signal to action, in four steps

Example: a customer order for pump assembliesIllustrative example

Four signals point to one order at risk

InternalOrders for pump assemblies are up 3× in two weeks
InternalSafety stock was last set before the surge
InternalThe supplier’s last five shipments took 5 weeks, not the 3 in your ERP
ExternalSevere weather near the supplier’s plant
4 risks confirmedOne $218,000 customer order at risk

Only one of three is material

Dollars at risk if nothing changes

Your materiality threshold: $25,000
Pump assemblies orderEarly warning case$86,000
Valve kitsAlert only$14,000
Gaskets and sealsAlert only$4,000
What reaches you1 early warning case, 2 alerts for information
Why you can trust it

Numbers you can check, on the systems you already have

Open any numberIllustrative
Dollars at risk$86,000Pump assemblies · $218,000 customer order
Margin$61,000Lost if the order ships short and the customer cancels
Cost$25,000Expedited freight and spot buys to cover 120 units
Evidence4 signals, 12 months of historyEvery number traced to the order line
Same inputs, same answer, every time
Who’s behind Axyo

Built by people who ran risk decisions at enterprise scale

Sandeep BoseFounder & CEO

Ran risk decision systems that had to satisfy auditors, regulators and boards.

Dr. Madhu Sudhan Reddy GudurCo-founder & Chief AI Officer

Ran machine learning in production at enterprise scale.

40+years combined in enterprise risk and AI
30+AI and data patents
How to start

See what supply chain risks are costing you, free

Questions

What buyers ask us first

What is the payback?

Your free Value Assessment answers that in about a week, using 12 months of your history: how much supply chain risks cost you last year, where, and why, and where to focus first. For a typical $250M business, supply chain risks cost about 20% of operating profit a year, and Axyo prevents nearly half of it. That is about 6× to 15× what Axyo costs.

How is Axyo priced?

Annual subscription, billed monthly, cancel anytime. Your Value Assessment shows the payback before you commit.

Do we have to replace our ERP?

No. Axyo sits above your ERP and systems of record. It reads from your ERP and writes approved decisions back to it.

Our data is messy. Will it still work?

Yes. Every file is profiled and checked before it is used. Where data is missing or wrong, Axyo fills the gap with a documented fallback or estimate, and shows you where it did.

How long does it take to get going?

You can start with spreadsheet exports on day one. ERP connectors follow within a week, and value shows up within one or two planning cycles.

Won’t this just mean more alerts?

No. You set the dollar threshold. Only risks above it become early warning cases, each with the dollars at risk, the time left to act and ranked actions. Everything else is an alert in a daily digest.

Is our data secure?

Axyo is SOC 2 Type II certified. Files are encrypted in transit and at rest. Your data trains only the models used for your own business.

Can Axyo watch risks specific to our business?

Yes. 85+ risks come out of the box, and we add risks specific to your business, each in less than a week.

Is this a generative AI tool?

No. Axyo is built on a risk ontology and calculated models. Every number is calculated, not generated, so the same question gets the same answer every time. Generative AI only helps explain results and read emails and documents.