Selected work

Tools built from real data, in real contexts, for real decisions.

Nutrition risk · Humanitarian · Ethiopia · 2025

Local Malnutrition Risk Index — Benishangul-Gumuz

A nutrition coalition in western Ethiopia was coordinating supply decisions across 847 health facilities with fragmented, partially reliable data. No one could see which zones were highest risk or where NGO coverage was absent. The data existed — it wasn't usable. Kanon built a composite risk index and decision map that made the invisible visible.

847
Health facilities analyzed across Benishangul-Gumuz region
78%
Of high-risk facilities had zero active NGO supply coverage
142
High-risk facilities made visible and prioritized for action
0.84
Average LMRI score in uncovered high-risk zones
[ LMRI dashboard — 2 dashboards + 3 GIS maps — visuals to be inserted ]
01 — The problem
The coalition was operating on Excel reports and qualitative meeting discussions. Supply prioritization decisions were made without visibility on where risk was highest or where coverage was absent.
02 — What was built
A composite Local Malnutrition Risk Index (LMRI) combining facility data, stock levels, NGO coverage maps, and intervention history. Output: interactive dashboards and GIS maps showing risk by zone, coverage gaps, and weekly action priorities.
03 — The result
142 high-risk facilities with no NGO supply coverage became visible in a single view. The Head of Mission could see — for the first time — exactly where to send resources on Monday morning.
Relationship intelligence · Commercial · Netherlands · 2026

Rhizome CRM — Relationship Intelligence System for 2Mages

Robert Kluijver, founder of 2Mages (Somaliland essential oils), was launching a commercial operation with a target of 200 customers across B2C and B2B. His commercial model depended on word-of-mouth and relay networks — relationships he had no system to track or activate. Kanon built Rhizome: a custom relationship-intelligence CRM that captures every interaction automatically and maps his network as a living, actionable graph.

4
Channels captured automatically — WooCommerce, Gmail, WhatsApp, Telegram
0
Manual data entry required — the system listens and structures automatically
10d
Delivery time from go-ahead to working system
~10€
Monthly running cost — client owns all infrastructure
[ Rhizome network graph — node visualization — visual to be inserted ]
01 — The problem
A founder with a high-value but fragmented network — customers across WooCommerce, prospects on WhatsApp, relay contacts on Telegram, B2B leads via email. No system to see who to contact, when, or why.
02 — What was built
A custom relationship intelligence system — passive capture across 4 channels, automatic deduplication, relationship scoring (0–100), network graph showing who introduced whom, and a weekly "Activate this week" list. Self-hostable, €10/month running cost.
03 — The result
Every interaction is captured, attributed, and scored automatically. The founder sees which relay contacts drive revenue, which B2B prospects are going cold, and exactly who to contact on Monday morning — without opening a spreadsheet.

Your project

What decision can't you make right now?

Tell us the problem. We'll tell you if we can build the tool that solves it — and what it would look like.

Start a conversation →