Builds

Interactive proofs, dashboards, and case studies that make a new AI capability obvious: what changed, what held up in practice, and the patterns worth borrowing.

Interactive⚡ 1 evening

AI Infrastructure Supply Chain Map

What this proves

The physical AI build-out is a component supply-chain problem, but the user needs context first: choose the data-center type, inspect the blueprint, then map the origins and lead-time risks of each component.

A guided supply-chain explorer for data-center infrastructure. Choose a facility type, inspect the reference blueprint, click components such as transformers, switchgear, batteries, generators, chillers, cooling loops, fiber, and optics, then see origin countries, OEMs, lead times, and bottleneck shape.

supply-chaindata-centerstrade

Interactive⚡ 1 evening

Vetiver Supply Chain Explorer

What this proves

A public-data explorer stops being a dashboard and starts being a conversation the moment you put an LLM with tools between the user and the data. The map reacts to the questions. Tool outputs drive other UI surfaces.

Chat-driven supply chain research for vetiver (khus). India growing regions, 12-18 month crop cycle, chemical vs organic inputs at each stage, and real UN Comtrade trade flows across 5 supply chain stages. The interactive map on the side updates as you ask.

public-datatradeagriculture

Dashboard⚡ 3 hours

India Trade Explorer

What this proves

AI can turn opaque trade datasets into an opportunity surface people can actually navigate instead of leaving them trapped in spreadsheets and PDF summaries.

A public-data explorer that combines India trade flows, partner maps, strategic commodities, and opportunity scoring into one navigable surface for founders, operators, and researchers.

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