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OutcomesAI

A dense clinical-AI platform, translated into something a healthcare buyer understands in 30 seconds.

Role
UI Designer, Pineapple Design Studio
Timeline
3 months, 2025
Team
Studio team
Status
Live · 2025outcomes.ai
Cover. The redesigned homepage, in motion.
Context

What OutcomesAI actually is.

OutcomesAI is a US-based healthcare platform founded by Kuldeep Singh Rajput, the former CEO of Biofourmis. The core product is Glia, an AI engine that combines voice agents with licensed nurses to deliver patient care at scale. Glia handles routine interactions autonomously: triage calls, scheduling, discharge follow-ups, medication adherence. When clinical judgment is needed, it escalates to a licensed nurse, powered by AI-assisted scribing and decision support that makes each nurse 3–5× more productive.

The business case is clear: healthcare systems face a nursing shortage, sky-high triage costs, and 24/7 patient demand that no human team can sustainably meet. Glia is the answer. The problem when we came on board was that nobody could tell that from the website.

Problem

The brand was hiding the product.

The existing OutcomesAI digital presence had a fundamental mismatch: the product was sophisticated, clinically rigorous, and genuinely differentiated. The brand told none of that. It read like every other AI health-tech company: abstract claims, dense jargon, no clear explanation of what Glia actually did or why a healthcare system should trust it with patient calls.

  • 01Glia was buriedThe core product had no clear narrative. Visitors couldn't quickly understand what it did, who it was for, or why it was safer than alternatives.
  • 02Jargon over clarityThe site relied on text-heavy explanations of multi-agent AI systems. Healthcare buyers don't want to decode technology. They want to see outcomes.
  • 03Trust deficitClinical credibility signals (certifications, protocols, nurse testimony) were either absent or deprioritised.
  • 04Brand felt temporaryThe visual identity was inconsistent and couldn't scale. No messaging system, no pattern language.

The site needed to function as a sales tool for enterprise healthcare buyers, CMOs and COOs who typically take 6–18 months to evaluate a vendor. If they couldn't understand the product in 30 seconds, they wouldn't schedule a demo.

After: the redesigned homepage shown in a browser mockup, headline 'AI-enabled Nursing. Human Care at Scale.'
Before: the original outcomes.ai homepage with the headline 'Artificial Medical Intelligence'
BeforeAfter
Drag to compare. Same story, told differently.
Research

What the category was already doing.

Before reframing anything, we audited how other clinical-AI companies were positioning themselves. The pattern was identical across the category: hero metrics, AI-first language, abstract multi-agent diagrams, generic nurse stock photos. None of them led with the people actually doing the work.

That gap was the opening. If every competitor was selling “AI for healthcare,” OutcomesAI could win the buyer in 30 seconds by selling “nurses with their time back.” Same product, opposite shelf.

Narrative

Nurses first, AI second.

We reframed the entire narrative. OutcomesAI isn't an AI company selling to healthcare; it's a nursing company using AI to give nurses their time back. The tagline that shipped, “AI-enabled Nursing. Human Care at Scale,” puts nurses first deliberately, and that word order changed every headline downstream.

Glia

Glia needed its own story.

Glia was the differentiator and it was invisible on the old site. We gave it its own section, a before-and-after workflow narrative, and a scalable pattern system, textured and pixelated, that could represent its presence across surfaces without falling back on generic AI visuals.

Glia's anatomy. AI as architecture, not a black box.
Motion

Motion as explanation, not decoration.

Complex AI workflows don't survive being written as paragraphs. I used motion to show the Glia sequence: a call comes in, the AI triages, a nurse receives a clinical summary, the interaction closes, all in under ten seconds. The constraint: healthcare buyers read slow animation as precision. Every movement was deliberate.

Agents at work, sequenced as workflow.
Solutions

Reframed for the buyer, not the technology.

Each solution leads with the use case (virtual care teams, in-clinic nurses, hospital systems), not the underlying capability. Buyers stopped having to translate technical features into deployment scenarios; the page does the translation for them.

Solutions, sorted by who's using them.
Brand system

A system that scales from screen to stage.

Built as a system, not a logo lockup. The OutcomesAI team could carry it into investor decks, recruiting decks, and conference rigs without touching me again. The same identity holds up on a phone, in a deck, and on a keynote backdrop.

Brand, end to end.
Mobile

Same story, on the phone.

Healthcare procurement still happens in email and browser tabs, and every link a CMO forwards has a 50/50 chance of opening on mobile first. The mobile surface had to land the same model in a smaller frame, with no sacrifice to clarity or trust.

Mobile. Same trust signals, same story, smaller frame.
Outcome

Faster comprehension, stronger trust, $10M seed.

The redesign contributed to OutcomesAI's positioning when they raised a $10M seed round led by Sant Ventures in October 2025. The numbers the site needed to make credible: 50% cost reduction in triage operations, 70% of interactions resolved without human escalation, 3–5× nurse productivity with Glia.

Healthtech Innovation Summit 2025. The brand, at scale.
Reflection

The job wasn't the interface. It was the translation.

The challenge wasn't designing screens. It was making a technically dense system legible to people making slow, high-stakes decisions. Motion became the main tool, not for delight but because sequence is easier to follow than paragraphs. The bigger lesson: reframing the brand narrative from AI to nursing empowerment changed every visual hierarchy decision downstream. Strategy and design were the same thing on this project.