Where intelligence meets industry
Two products live and used daily. Two more sectors in active development. Here is what each one does, how it works, and where it is headed.
AI-powered personal styling
Dress In Style is an AI stylist that organizes your wardrobe, generates daily outfits tailored to your aesthetic, and joins you when you shop — detecting duplicates, finding gaps, and enabling virtual try-on before you buy.
Everyone gets expert styling — not just people who can afford a stylist.
set your aesthetics, preferences, size, and palette in minutes so the app starts with your taste instead of generic fashion rules
snap your clothes once and let AI auto-categorize every piece with color, season, and category metadata
mix and match pieces from your wardrobe, compose full looks, and preview combinations before you wear them
get fresh outfit recommendations each morning based on your style identity, season, and occasion
detect duplicates, find wardrobe gaps, and try new pieces on virtually before you buy
shape every recommendation around your evolving aesthetic, with curated palettes and light or dark modes
Autonomous AI testing and QA intelligence
Selora gives QA teams one AI workspace for coverage planning, multi-framework execution, failure investigation, visual review, flaky control, and release readiness — without stitching together five separate tools.
QA teams ship with confidence instead of stitching tools together.
record sessions, import automation, define API flows, or let AI explore your app
run across frameworks with logs, screenshots, videos, traces, and execution context attached
repair selector drift and contain unstable automation before it damages release confidence
manage UI diffs, baseline review, and service validation inside the same operating layer
dashboards, reporting, and leadership signals for every QA cycle
GitHub, Jira, Slack, CI, and runner controls without extra admin sprawl
Adaptive AI for learning and institutions
Personalized content engines, AI tutor assistants, and institution dashboards that adapt to how students actually learn — while relieving teacher workload and surfacing performance intelligence.
Students learn at their own pace without falling through the cracks.
Currently in design and early prototyping. Looking for pilot partners.
We are designing AI systems for adaptive learning, assessment feedback, and educator support. Expect a dedicated product in this space.
Clinical AI without losing trust
Clinical copilots, triage workflows, and patient-facing intelligence that reduce friction in care delivery — designed with human-in-the-loop governance at every critical step.
Patients get faster, clearer, less frightening care experiences.
Currently in design and early prototyping. Looking for pilot partners.
Healthcare AI requires unusually careful design. We are working on clinical copilots and patient-facing systems built around privacy, safety, and measurable outcomes.
Interested in what we're building next?
Follow along as we expand into education and health. Or reach out if you want to talk about our products, a partnership, or what we're seeing in a sector.
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