DNSK WORK / Startups We Admire

AI-powered business co-pilot for diagnosing health, risks, and growth opportunities

What We Love

I love how confidently DEEP CLEAR owns the 'business co-pilot' space. The 'health check' concept is a brilliant mental model — quick, actionable, and far less intimidating than your average ops dashboard. Plus, any tool that promises to reduce guesswork gets a gold star from me.

What We'd Improve

I'd love to get a peek inside the actual product. The homepage sets the scene nicely, but I'm left curious about the real interface — what does clarity *look* like in-app? Maybe a sneak preview or mini walkthrough could pull more people in. And selfishly, I'd absolutely be up for a test drive or quick demo if there's a beta invite going 👀.

AI-powered nutrition tracking for individuals and coaches, focused on sustainable health and performance

What We Love

I love how Fueld flips the script on traditional food tracking. The 'snap a photo, get insights' approach feels genuinely user-first, and the whole experience is wrapped in a calm, science-backed vibe that doesn't scream 'diet culture'.

What We'd Improve

I'd be curious to see how the AI handles messy meals or more complex home cooking — always a UX adventure. Also, the homepage is gorgeous, but a little more UI sneak peek (maybe of the food photo-to-data journey?) could help sell the tech side harder. If you've got a beta or coaching portal walkthrough, I'd love to try it or chat about how you're scaling design across both B2C and B2B angles.

AI-powered platform for automating Medical, Legal & Regulatory (MLR) review in pharmaceutical content workflows

What We Love

I love how sharply focused AITHENA is. Cutting through the chaos of MLR review with AI? Yes please. The pharma space isn't exactly known for speed, so anything that helps teams move faster without risking compliance is a winner in my book.

What We'd Improve

I'd be keen to see what the actual review workflow looks like — how collaborative is it? Is there an internal UI for annotating claims or flagging issues? The homepage is clean and to the point, but a touch more product storytelling could go a long way. If you're open to sharing a sneak peek or hopping on a quick call, I'd love to learn how you're designing for such a niche but vital space.

AI-driven software house offering web, mobile, and machine learning solutions for clients across sectors

What We Love

I love that Jagware doesn't just do full-stack — you do full-service. From custom builds to brand visuals, the end-to-end approach is clear. That versatility is gold when working with fast-moving founders.

What We'd Improve

Not so much an improvement — more of a 'what if'. If you're ever up for a creative partner to jump in on UX strategy, tricky product flows, or even just add a visual punch to internal tools, I'd love to collaborate. Could be fun to team up on something where code and craft meet in the middle.

AI-powered technician assistant that layers on top of CMMS/CAFM tools to automate work orders and repairs

What We Love

I love how specific Fixo is. No vague 'AI for operations' pitch — just a laser focus on making work orders clearer, faster, and way less painful. The product marketing is strong, the messaging is sharp, and that dark-mode UI with yellow accents? Chef’s kiss.

What We'd Improve

I'd love to understand how this scales across messy, real-world maintenance environments — especially where data inputs are inconsistent. A live demo or walkthrough of how Fixo guides non-technical users or surfaces context would be brilliant. If you're open to sharing a bit more or want a designer's take on clarity and trust in these flows, I'm keen to chat.

AI-driven longevity startup focused on preventative health and ageing well

What We Love

I love the mission — extending healthy years with AI is ambitious in the best possible way. The branding is calming, the copy's clear, and the positioning is confident without the usual longevity buzzword soup.

What We'd Improve

I'd love to know more about the actual experience — what does the onboarding look like? Are users coached by AI, or is there a human loop involved? If you're open to it, I'd genuinely love a demo or walkthrough. Always curious how mission-driven teams translate big ideas into real UX flows.