SmartInferVerifiable AI systems for high-value problems.
SmartInfer combines domain-specific science, purpose-built agent infrastructure, and a trust layer to create AI specialists.
We focus on problems where the cost of error is clear and the impact of improvement can be measured.
In private pilots
Galileo — the Marketing Scientist agent
Decision: How should the next marketing budget be allocated?
Galileo combines a marketing mix model with an evidence-grounded AI agent. The model estimates channel response, uncertainty, and budget scenarios from weekly spend and outcome data. Credibility checks flag estimates the data cannot separate and withhold unsupported reallocations. The agent lets teams interrogate computed results and explore model-backed scenarios.
In development
Problems under development
-
Product discovery
Which products should a shopper discover and compare?
Shopping Associate — customer-facing product discovery and guidance across product questions, comparisons, fit, use cases, and policies, toward checkout.
-
Catalog discoverability
How should the catalog change so search systems and AI agents can find, understand, and recommend the right products?
Catalog Enrichment — analyzes and improves product data, attributes, taxonomy, metadata, comparison facts, and catalog relationships.
Founder track record
Built on two decades of production ML and AI
SmartInfer was founded by Anjan Goswami following two decades building and leading production search, ranking, and AI systems at Walmart, eBay, Adobe, Salesforce, Amazon, and Microsoft. Most recently, he led AI for PowerPoint Copilot. He holds a PhD in computer science from UC Davis.
Selected pre-SmartInfer work:
- +23% e-commerce search revenue lift — Walmart
- Replaced a 15-year heuristic ranking system with ML — eBay
- Led AI for PowerPoint Copilot — Microsoft
Selected pre-SmartInfer production work → anjangoswami.com →
Contact
Work with SmartInfer
Galileo pilots, design partnerships, research collaborations, or other questions.