Cypher
Website and AI-driven identity for data consultancy.
Introduction
Cypher is a data consultancy that helps companies make better decisions through analytics, machine learning, and data infrastructure. They work across industries but are strongest in e-commerce and consumer technology.
Brand, Design, Development
9 weeks
TL;DR
Problem
A data consultancy with real depth but a presence interchangeable with a hundred others. Needed to signal innovation without leaning on the usual data-firm clichés. Their previous site looked like every other analytics agency.
Solution
Generative AI visuals as the visual language — dynamic, data-native, distinct. Commerce-inspired patterns because Cypher's clients think in conversion, not dashboards.
- Used generative AI visuals as a visual language — dynamic, data-native, and distinctly theirs
- Commerce-inspired patterns because Cypher's clients think in conversion, not dashboards
- Avoided the 'dark data' aesthetic trap — chose confident and human over cold and technical
- Built motion into the brand system so it scales across all channels
Preview
What the work looked like
User Research
Three distinct audience groups, same core tension — the existing experience wasn't built for how they actually work.
01
E-commerce Leaders
- Running high-volume Shopify and DTC stores
- Need analytics that connect data to revenue decisions
- Compare Cypher against in-house data teams
02
Growth Teams
- Running experiments and attribution models
- Need a partner who speaks conversion, not just dashboards
- Judge the consultancy by how well their site communicates
03
CTOs & Technical Founders
- Evaluating data infrastructure decisions
- Need to trust the team's technical depth before engaging
- Look for evidence of systems thinking in every touchpoint
Problem Statement
How might we position a data consultancy as distinctly modern without falling into the dark, cold, technical aesthetics every competitor uses?
Cypher's positioning called for a digital presence that feels modern, data-driven, and confident.
Generative AI visuals and commerce-inspired patterns helped communicate innovation clearly, setting the product apart while supporting conversion and usability.
Core Flows
Generative AI visuals as the visual language — dynamic, data-native, distinct. Commerce-inspired patterns because Cypher's clients think in conversion, not dashboards.
Generative AI visuals and commerce-inspired patterns helped communicate innovation clearly, setting the product apart while supporting conversion and usability.
Brand Identity
The generative AI visual system wasn't a gimmick — it was the brand strategy. A data firm that uses AI to make its own identity signals that it thinks in systems, not services. Every asset in the system is generated but governed: coherent, not random.
Impact
9wk
Brand to launch
↑
Inbound quality
3×
Site session time
A digital presence that opens conversations. New clients consistently mention the website during initial calls as the reason they reached out.
Key Learnings
01
For a data firm, the most credible signal is showing that you understand systems visually
The site has to think the way the company thinks.
02
AI-generated assets can be brand assets when they're designed with intent
The generative system we built is consistent, not random.
03
A site that opens conversations is worth more than one that closes them
The job of the brand is to earn the meeting, not replace it.