About

A3 Analytics is building the reasoning layer for complex physical systems. We develop AI-powered software that helps engineers, technicians, and support teams diagnose and resolve issues faster by combining structured data, unstructured knowledge, and hypothesis-driven reasoning.

Modern industrial systems—ranging from manufacturing equipment to laboratory instruments—are increasingly complex. Troubleshooting these systems requires integrating information from logs, technical documentation, historical service records, and human expertise. In most organizations, this knowledge is fragmented across systems and individuals, leading to slow resolution times, repeated failures, and costly downtime.

A3’s platform addresses this problem by unifying knowledge and data into a single intelligent system. Our software enables users to search across documents, query structured data using natural language, generate visualizations, and run analyses—all within a single interface. At the core of the platform is an industrial reasoning engine that can generate and test hypotheses, helping users move from symptoms to root cause in a structured and repeatable way.

Key capabilities include:

Knowledge Search: Retrieve and synthesize information from technical documents, manuals, and prior cases
Data Query: Use natural language to analyze structured data (text-to-SQL and code execution)
Data Visualization: Automatically generate charts and summaries to support analysis
Hypothesis Generation and Testing: Systematically explore possible causes and validate them against data
Report Generation: Produce structured summaries of findings and recommended actions

By embedding these capabilities into day-to-day workflows, A3 enables organizations to scale expertise across teams. Field service engineers and support staff can resolve issues more quickly and consistently, reducing the need for escalation and minimizing repeat service events. The result is lower operational cost, improved system uptime, and a better customer experience.

A3 Analytics was founded by Matt Gordon, PhD, a physicist and former Palantir Forward Deployed Engineer who later led AI development for manufacturing quality control at Toyota Research Institute. His experience working across real-world industrial systems shaped A3’s approach: combining deep technical reasoning with practical, on-the-ground workflows.

The company is backed by experienced technology leaders, including Bob McGrew, former Director at Palantir and former Chief Research Officer at OpenAI, and Asher Sinensky, a senior executive at Palantir.

A3’s mission is to bring advanced AI reasoning into the physical world—helping organizations reduce downtime, accelerate root cause analysis, and unlock the full value of their data and expertise.