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For leaders in distribution, manufacturing, and CPG

Stop defending
numbers you
don't trust.

Mined XAI's decision intelligence platform identifies signals in fragmented data and turns them into decisions you can champion, showing the drivers and confidence behind them so you walk into the meeting already knowing what to do and why.

Enterprise Forecasting · Supply Chain Intelligence · Item Master Integrity

FROM CLIENT ENGAGEMENTS
95+%
Forecast accuracy at 90 days, above published benchmarks for AI-driven demand forecasting.
$3.4M
In quarterly volume-incentive rebates captured at the account level.
5,500
Duplicate SKUs (1 in 9) found in a 50,000-item catalog on the first pass.
$120M
In at-risk demand uncovered in a single distributor's data, invisible before we looked.
WHERE THIS COMES FROM

Most AI hands you a number and asks you to trust it. Ours shows its work.

Our Deep Topological Modeling was born out of a DARPA program and refined to solve some of the U.S. Air Force's hardest problems, in rooms where a recommendation nobody could question simply didn't get used. When getting it wrong costs more than money, “the system says so” isn't an answer. We brought that standard to the commercial world. The bigger the decision, the more you should be able to interrogate it before cash moves.

With Mined XAI
Here's why.
New construction permits
+8%
Heating degree days
+5%
Late-season slowdown
−3%
Forecast: 1,240 units · 94% confidence
What you see today
Just Trust it.
Forecast: 1,240 units
The number. Not the reason.
Slide
WHERE PLANNING RISK STARTS

The forecast can be right, and you still own the stockout.

You know this one. One region runs dry while another sits on a quarter's cover of the same SKU. The data to see it usually exists; what's missing is the reasoning to tie it together in time to move.

The Engine

We model the structure beneath the numbers.

Deep Topological Modeling reveals the signals and relationships beneath your data that conventional methods often miss.

BEYOND SUPPLY CHAIN

The math doesn't care what the data is about.

The same engine reads structure in any complex dataset, not just supply chains. Higher-education, non-profit, quality, and research teams also bring us their toughest problems.

Higher education & nonprofit

Enrollment, giving, and program data — the same engine, applied where the stakes are mission, not margin.

Process & quality intelligence

Connects chemistry, automation, and quality data to reveal variations and emerging issues, delivering improved operational consistency.

Sponsored research

Complex, high-dimensional datasets where the finding has to survive scientific review.

LOW RISK, FAST

Start with one decision.

You don't need an enterprise rollout to find out if this works. Pick something you're second-guessing: a replenishment you keep delaying, a slow SKU you can't read, an item master you suspect is dirty. We'll run it against your data and hand back the why in 30 to 60 days.

START HERE
Day 1

Pick a high-impact problem

One decision where timing and confidence matter: demand, inventory allocation, or customer and channel volatility.

DayS 14-21

Connect the data, set a baseline

Map the relevant demand, inventory, operational, and commercial inputs, launch the initial model, and agree how we will measure the lift.

DAY 30–60

Ranked actions, measured

Give teams a live view of what changed, why it changed, and where to act first, with clear results and a practical path to expansion.

START HERE

New to explainable AI? Start with our guides.

Explainable AI for supply chain cornerstone guide
~6 MIN READ
CORNERSTONE GUIDE

Explainable AI for supply chain: why your forecast needs to show its work

What explainable AI actually means for demand and inventory decisions, and how to tell real reasoning from a story told after the fact.

READ THE GUIDE
Other Guides to Read
01 Enterprise Forecasting Transforming a Number Into Action at the Seller, SKU, and Customer Level
How granular forecasts become prioritized action for brand, partner, and sales teams, through dashboards, rebate tracking, opportunity lists, divergence analysis, and incentive design.
02 Item Master Data Integrity The Tax on Forecasting, Inventory, and Deals
What item master data integrity actually means, how duplicate and incomplete records can drain procurement, inventory, forecasting, and M&A synergies, and how to fix the records that matter without cleaning everything.
03 AI Readiness Why Most AI Pilots Stall Before They Ever Scale
What AI readiness actually means, why most pilots die between proof-of-concept and production, and the four things — data, decisions, governance, people — that decide whether yours pays off.
Answered

The questions that come up first.

Straight answers about what the models see, what drives the results, how they hold up, and where they plug into your workflow.

STILL HAVE QUESTIONS? TALK TO US
What does Mined XAI help organizations do?
Mined XAI is an explainable AI decision intelligence layer that uncovers and connects signals scattered across the enterprise to show what is changing, why it matters and where action is needed. It provides defensible recommendations and enterprise context that help teams protect customer service, working capital and margin.
Does Mined XAI replace our ERP, BI, Planning systems?
No. ERPs integrate and manage core business processes, resources, transactions, and plans. Power BI and planning tools help teams monitor performance and execute within specific workflows. Mined XAI fills the gap between seeing what is happening and deciding how to respond by augmenting intelligence across those existing systems and tools.
How does Mined XAI explain its recommendations?
Every recommendation includes its key drivers, supporting evidence, and a confidence understanding that compiles across enterprise knowledge. Where applicable, teams can also see what could change the result. This allows planners and analysts to inspect the reasoning, apply their operational knowledge, and defend the decision.
Can Mined XAI work with our existing data and technology environment?
Yes. Mined XAI builds on your current tech environment without requiring a wholesale system replacement. Depending on your preferred architecture and security requirements, we can connect to approved data through secure APIs or work within your firewall.
How does Mined XAI access, store, and use our data?
Mined XAI accesses only the data you authorize and supports deployment through secure APIs, within your firewall, or in our protected hosting environment. Client environments remain logically isolated. Your data is never pooled with another client’s data, used to train another client’s models, or incorporated into shared models. Data access, processing, storage, and retention are governed by engagement-specific security controls and contract terms. Our current security controls comply with applicable NIST standards and requirements, and we are projecting full CMMC certification by the end of 2026.
What is required from our team and how soon do we see something useful?
Our client engagements require access to the relevant data, agreement on the decision and success measures, and working sessions with the people who understand the processes. Initial findings can typically be produced within 60 days of launch, with your decision owners involved throughout validation.
How do we prove value before committing to a broader deployment?
We’ll establish a performance baseline and measurable success criteria for a focused business problem. Mined XAI’s recommendations are then compared with your current methods using your own data. You expand only when the desired improvement supports a broader deployment path.
LET’S TALK

If you’re weighing something worth more than a hunch, send us the numbers.

Give us twelve months of history and the choice in front of you; we’ll show you the signals that matter for making better decisions.

Set up the call