About Axyo

Axyo was born from risk management.

Supply chains are financial systems in motion. A supplier delay, a forecast shift, a freight disruption, a quality issue, an input-cost change — none of these is only an operational event. Each one moves service, margin, cash, working capital, and customer trust.

40+
Years across enterprise risk, data, and AI
30+
Patents and published applications
30+
Publications
Why we built Axyo

Nobody acts on a number they can’t check.

An AI assistant works because a person reads every answer. Planning does not work that way — tens of thousands of decisions a cycle, far too many to read. If they are not trustworthy by construction, the planner goes back to their own number and the AI is worth nothing.

01

The number has to come from somewhere you can point at

Agents are only as safe as the limits someone builds around them, and those limits take experts who know your business. Built decision by decision, that is a custom project every time.

Generative AI explains the number. It should not be where the number comes from.
02

Trust has to come out of the pipeline

Lineage, the model and its score, the evidence, the same answer tomorrow — assembling that by hand is a year of work to earn trust once, for one use case.

So the Axyo AutoML and Super KPI Pipeline produce it: raw data to insight in one config-driven run.
03

Plans drift, and no one is monitoring them

Every plan is wrong somewhere the day it is made, and more wrong every week after. Large enterprises buy their way around it with people and tools.

The mid-market has nothing that monitors the plan and warns while there is still time to prevent the loss.
×What an answer looks like
“Order about 1,200 units of PLT-CLE — you are running low.”
Fluent. Nothing to check.
✓What a decision looks like
Order 1,200 units of PLT-CLE-0442 into Cleveland.
  • On hand 610 · safety stock 380 · open orders 0
  • Lead time 46 days, up from 28 across the last 3 shipments
  • Cover ends 12 Oct · reorder by 24 Sep
  • Forecast: XGBoost champion, MAPE 11.4%, run 2026-08-19
Every figure traceable to the record it came from.
The founders

Enterprise risk, production AI, and governed data — in one founding team.

Both founders spent their careers building the three things Axyo depends on: risk intelligence at scale, machine learning in production, and enterprise data architecture.

Sandeep Bose
Founder & CEO

Sandeep Bose

  • Chief Data, Privacy & Analytics Officer, Silicon Valley Bank
  • CIO, Credit & Fraud Risk, American Express
  • Delivery Project Executive, IBM
Built and ran risk-decisioning systems in institutions where every recommendation has to survive an auditor, a regulator, and a board.
Dr. Madhu Sudhan Gudur
Co-Founder & Chief AI Officer

Dr. Madhu Sudhan Gudur

  • Director of Machine Learning, American Express
  • Post-doctorate, Stanford University
  • Masters & Ph.D., University of Michigan
Machine learning in production at consumer scale — models that are monitored, challenged, and retrained, not demonstrated once.
Invention record

Deep invention experience in the systems Axyo depends on.

30+
Axyo’s founders are named inventors on 30+ patents and published applications across machine learning, data lineage, entity resolution, network intelligence, and governed enterprise data systems.
Machine learning
Decision trees with missing data, data-of-interest identification, model-driven classification.
Governed data
Lineage data for records, big-data querying, enterprise data architecture.
Network intelligence
Node consolidation, entity matching, name and address resolution.
Risk signals
Relevant notifications, corroboration patterns, evidence assembly.
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