Smartstorify
Smartstorify is an AI platform for intelligent unstructured data management, with a patent-pending LLM at its core. Its AI engine analyses application data — hot and cold objects, duplication rates, orphaned items — and turns that into automated storage and compliance strategies, on-premises or in the cloud (GDPR, HIPAA, SOX).
Product design + Frontend
Visit live projectThis case study is being filled in — process, artefacts and outcomes are added as I write them up.
- Year
- 2025
- Industry
- Enterprise data / AI
- Contribution
- Product design + Frontend
- Status
- In development
The product problem
Enterprise data teams need to understand enormous volumes of unstructured information across on-prem and cloud storage. The challenge was to make petabyte-scale classification, cost, and compliance signals clear enough to act on.
Ownership & contribution
I joined when the product was a command-line prototype and led the design side of taking it 0→1, working with the CEO and the engineering team: information architecture, design system, the AI product and the marketing site, and the frontend build for both. The site took a week; the product's first working prototype came together over four months, and the first MVP by month six. Beyond the interface I take the product to a level it can be demonstrated at and build the materials that explain it — argument as well as visuals —.
- Product design
- Frontend
- Design system
How the experience took shape.
Discovery
Learn the domain before drawing it
Storage, classification and compliance are somebody's daily job before they are a product. I ran discovery sessions with people from that world — how the work is really done, what buyers expect to see, and which words mean something to them.
Analysis
Make complexity conversational
The conversational analysis interface gives teams a direct way into dense infrastructure questions instead of forcing them to begin with filters, tables, and taxonomy.
Operations
Show the work while it happens
Real-time streaming-job views make long-running analysis legible: teams can understand progress, status, and what the platform is doing at each stage.
Decisions
Turn data risk into action
Dashboards organize storage cost, duplication, orphaned data, and compliance signals so teams can move from a technical finding to a clear next decision.
Work that moved the product forward.
Joined when the product was a command-line prototype and led the design side of taking it 0→1 — architecture, design system, product and site.
Ran discovery sessions with people from the storage and compliance world so the product speaks the language of the work it serves.
Help with hiring decisions — I join candidate interviews, developers and AI specialists included.
Designed both the marketing site and the AI product itself.
Vibecoded the frontend for both the site and the product, working with the engineering team on the platform behind it.
Build the materials that explain the product — content and argument, not only slides.
Designed the conversational analysis UI, real-time streaming jobs, and dashboards.
Shaped the design system end to end.
- Year
- 2025
- Contribution
- Product design + Frontend
- Industry
- Enterprise data / AI
In development