LakeFusion.AI

Overview

LakeFusion.AI is a Master Data Management and AI platform built natively on Databricks Lakehouse. I designed their full marketing website — taking an existing design system and building it out into a complete multi-page site.

The design challenge was translating a technically complex product — entity resolution, deduplication, data quality at scale — into pages that a non-technical business buyer could understand and act on quickly. Every page needed to answer "why does this matter to my business" before getting into how it works.

The brand uses a strong red-on-dark palette that signals authority and precision — appropriate for a data infrastructure product where trust and accuracy are the entire value proposition. The site adapts this into four distinct page contexts without losing visual cohesion.

Brand System

Built from an
existing system.

LakeFusion.AI came with established brand foundations — logo, primary palette, and typographic direction. My role was to extend that system into a full web context: establishing page templates, section patterns, CTA hierarchies, and responsive behaviour across four core pages.

LakeFusion Red#C0272D

Near Black#1A1A1A

Section Dark#2C2C2C

Off-White#F5F0EF

White#FFFFFF

Page 01

Homepage —
data you can trust.

The homepage leads with the core value proposition: "Data You Can Trust, Solutions That Scale." The above-the-fold section establishes the Databricks-native positioning immediately — important for an audience that already knows the ecosystem and wants to understand where LakeFusion.AI fits.

The page architecture moves from platform overview → key features → use cases by vertical → CTA. The tabbed use case section (Banking, Retail, Healthcare) lets buyers self-select their industry without leaving the homepage.

lakefusion.ai

Homepage lakefusion.ai

Homepagelakefusion.ai

Page 02

Data Quality —
elevate your data.

The Data Quality page addresses the pain point before the product — poor data leads to bad decisions, operational inefficiency, and compliance risk. The page opens by validating that problem, then positions LakeFusion.AI as the solution to the four core data quality challenges: duplicates, inconsistencies, missing values, and data silos.

The dark "how it works" section mid-page uses a carousel to step through LakeFusion.AI's matching and deduplication approach — keeping a complex technical process digestible without oversimplifying it.

lakefusion.ai/data-quality

Data Quality lakefusion.ai/data-quality

Data Qualitylakefusion.ai/data-quality

Pages 03 & 04

Customer360 &
Use Cases.

The Customer360 page focuses on the unified customer profile use case — the most immediately legible business value for a non-technical buyer. "Achieve a complete view of your customers" is a concrete, outcome-oriented headline that leads the page before getting into how MDM enables it.

The Use Cases page maps LakeFusion.AI's capabilities to four verticals — Retail & E-Commerce, Financial Services, Telecommunications, and Manufacturing — giving the sales team a page they can send directly to a vertical-specific prospect.

lakefusion.ai/customer360

Customer360lakefusion.ai/customer360

lakefusion.ai/use-cases

Use Caseslakefusion.ai/use-cases

Approach

Technical product,
business-first pages.

The consistent design challenge across all four pages was hierarchy: LakeFusion.AI's product is technically sophisticated, but the marketing audience skews toward business decision-makers rather than engineers. Every page had to earn the technical detail by establishing business value first.

Page Structure

Problem before product

Each page opens by validating the buyer's pain point before introducing LakeFusion.AI as the answer. This is especially important for a data infrastructure product where the problem (bad data) is more universally understood than the solution (MDM).

Visual System

Dark sections as authority signals

The dark "how it works" mid-page sections create a visual rhythm that also signals technical depth — the product detail lives in a different register than the business benefit sections above and below it.

CTAs

Single action per section

Each major section ends with one clear CTA — no competing buttons. The demo request CTA appears at page bottom and in the nav, keeping the conversion path clean without being aggressive.

Navigation

Audience self-selection

The nav structure (Data Quality, Customer360, Use Cases) maps to buyer use cases rather than product features — letting visitors immediately route to the most relevant page for their problem.

Hi-Fi Mockups

Full hi-fidelity
mockups in Figma.

The complete hi-fidelity designs for all four pages — homepage, data quality, Customer360, and use cases — are in the Figma file below. Includes all responsive states, hover interactions, and final asset specifications.

LakeFusion.AI Website — Hi-Fi Mockups (Figma)

Built from anexisting system.

Homepage —data you can trust.

Data Quality —elevate your data.

Customer360 &Use Cases.

Technical product,business-first pages.