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Overview

Giving an industrial AI engine a product people can actually use

Democritus sits on top of the systems a project already runs on and reads them in place, with nothing copied into a warehouse. The engine worked when we arrived. Everything a person would touch still had to be built.

  • Multiple

    Customers signed following a POC

  • $250k+

    Average contract value

“Exceptional work by Likitha and her team. In industrial AI, few designers bridge technical complexity with simple design, and she did exactly that. She grasped our domain constraints quickly and delivered high-quality branding and product design on time. If you're building something complex, hire her.”

Swaroop GururajCEO, Democritus AI

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Democritus platform prototype: Processing
Democritus platform prototype: Schema
Democritus platform prototype: Analysis
Democritus platform prototype: Answer
Democritus platform prototype: Canvas
Democritus platform prototype: Report
Swipe through the screens.

About the project

A query engine that worked and almost nothing around it. No design system, no real product, and a company still in stealth without a website.

Project-controls teams reportedly spend about 70% of their time checking the same numbers across Excel, Primavera, SAP and a WhatsApp thread. By the time someone decides anything, the numbers behind it can be a month old. That is as much an interface problem as an engineering one.

Services
Branding, Product Design, Web
Industry
Industrial and capital projects
Engagement
12-week sprint, six months in total
Period
October 2025 to April 2026

What we solved

We started with how it looks. Warm neutrals, a lime accent used rarely enough that it still means something, and Geist after trying three other typefaces. The buttons have a bit of weight to them, because these people spend all day in enterprise software and we did not want this to feel like more of it.

Then the product, screen by screen. Two decisions did most of the work. We moved access control to after validation instead of before it — there is no point setting rules on data nobody has checked yet. And we cut the idea of a separate "project" completely, because Primavera already owns that word for these users and two meanings for it made every dashboard harder to read.

Where we stand now

The MVP demo went out in March 2026 and the site went live with the announcement. Democritus has since incorporated in India and the US.

We are still on it, designing roadmap work as it comes up.

What we built

  • Six-stage ingestion

    Profiler, Aligner, Architect, Tagger, Glossary, Context. It works out the schema and what the data means, then asks a person to check it before anything goes live.

  • Analysis and Canvas

    Ask in chat, pin what is useful to a shared Canvas. Changing a chart makes a new version instead of overwriting the old one, so you can always see where an answer came from.

  • Reasoning panel

    The answer, the steps behind it, and sources you can click, in a panel beside the data rather than on top of it. Nobody signs off on a number they cannot trace.

  • Relationship Inspector

    Opens from the arrow between two tables and shows why the system thinks they are related, with sample rows to back it up.