Initializing core — 0%
KineticNucleusKineticNucleus
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A recall intelligence platform, built in the open on our own site

Client — In-house product (RecallRadar)Industry — GovTech / Public DataYear — 2025–present
Overview

The situation

Government recall notices are public but scattered across agencies and formats, which means the people affected by a recall often never see it. We're building a platform that collects that public data continuously and turns it into timely, relevant notifications.

Challenge

What we were solving for

Recall data is published by multiple agencies in inconsistent formats and update cadences. Turning that into something a consumer or business can actually act on — matched to what they own, before it becomes a safety issue — is the core problem.

Solution

What we built

We built automated pipelines that collect and normalize publicly available recall data, an admin panel for oversight, and a matching and notification layer that surfaces the recalls relevant to each user. We're keeping the matching logic itself under wraps while it's still our active product.

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A closer look

This is our own product, built with the same standards we hold client work to — which is exactly the point.
Engineering TeamKineticNucleus

Results

Actively in development

Status

Public U.S. government recall data

Data source

Ingest → classify → match → notify

Core loop

Technologies

JavaSpring BootPythonPostgreSQLAWS
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