← All series
6-part series · Robotics · Builder Center

FaultForge: Synthetic Failure Data for Robot Fleets

Robot fleets fail in ways single-robot datasets never show, and the benchmarks meant to catch those failures can be passed without any reasoning. FaultForge generates rare fleet-wide failures with known causes, then audits the data so no shortcut can pass.

How it's built

Two halves across six parts: a generator for rare fleet-wide failures, and an auditor that stops shortcuts passing

Who it's for

Robotics & fleet-operations leaders, Physical AI teams, ML engineers

Reading paths

Start at Part 1; Parts 2-6 publishing in sequence

Start with Part 1: Why robot fleet benchmarks can be gamed →

Reading path

Start at Part 1, or jump to the part you need
01

Why robot fleet benchmarks can be gamed

A firmware update reaches six Wi-Fi access points at 02:10; six minutes later about 30 robots are slowing, re-localising and queueing for the same chargers. Which alert was the cause?

Builder Center
02

Part 2

Publishing soon on AWS Builder Center.

Coming soon
03

Part 3

Publishing soon on AWS Builder Center.

Coming soon
04

Part 4

Publishing soon on AWS Builder Center.

Coming soon
05

Part 5

Publishing soon on AWS Builder Center.

Coming soon
06

Part 6

Publishing soon on AWS Builder Center.

Coming soon
Don't miss the next series

Follow on LinkedIn to see each new article and series as it is published.

Other series

12-part series · Builder Center

The Autonomous NOC

47 alarms to one root cause in under 90 seconds, safely enough to act on a live network. Twelve articles on how, why, and what it costs.

Telco
4-part series · Builder Center

Bank Foundation Models

Why a bank should train a foundation model on its own event data, and how: from privacy-first data to production and Nova Forge.

Financial Services
2-part series · Builder Center

GAD-P: Governed data access

Let every business user ask your data questions in plain English, with governance enforced by code rather than by prompt.

Cross-industry
3-part series · Builder Center

Dark Web Fraud Signals

Catch fraud techniques on dark-web forums weeks before they hit your transaction monitoring.

Financial Services
2-part series · Builder Center

Real-time Fraud with TGNs

Graph-based fraud detection in under 100 ms that keeps working when you move to a new payment domain.

Financial Services
2-part series · Builder Center

The Fast Path

Cut bank loan decisions from about 10 days to minutes, in six weeks.

Financial Services
7-part series · LinkedIn

AI Value Strategy

95% of AI projects never reach production. A seven-part guide to making sure yours delivers value you can measure.

Cross-industry
2-part series · AWS Blog

Synthetic Data

How to trust synthetic data, and how to use it where real data is restricted.

Cross-industry
10-part series · LinkedIn

Startup AI Readiness

Every AI readiness framework was built for enterprises. This 10-part, research-grounded one is for startups and teams under 50: assess where you stand, decide build vs buy, ship your first agent, measure it, govern it and price it.

Cross-industry
8-part series · Builder Center

Containing the Agent, Counting the Value

By 2026, enterprise AI agents stopped advising and started acting. Eight articles on containment: when an agent does the wrong thing, can you stop it, can you prove it, and is it even worth running, ending in a value-and-risk ledger that tests every workload six ways and never blends them into one comforting score.

Cross-industry