Presti is the #1 solution for high-quality product photos. Our mission is to transform the way companies create and utilize their product imagery. We bring a new way to stage your products at scale using AI. If you are a furniture company, it is time to use Presti. Presti is renowned as the leading AI platform for generating high-quality product photos Try it yourself !
Lien externe pour Presti (YC S24)
75015
Paris, FR
New batch for our Beta Program! 🚀🚀Reach us out!
NEW! You can now create great photos of your products in a matter of seconds. We're opening our beta to a new batch of companies. If you are a furniture company in need of high quality visuals, get in touch with us . PRESTI makes AI-powered photoshoots seems like magic 🪄 !
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🛋️ Hamza Bennis from Presti (YC S24): ''It's the ChatGPT moment for the furniture industry. Within seconds, Presti generates realistic scene images, saving time and money compared to traditional photography or 3D visualisation. Read the article here: https://lnkd.in/eKqtNTbm
My favourite Presti (YC S24) use case? Without a second of doubt Outdoor Furniture – Furniture Today agrees (Link in comments). “We pretty much rented out most luxury villas on the West Coast over the last couple of years." That’s what a prospect in the outdoor furniture space recently told me. Since they’re doing all their lifestyle imagery with photography, finding new locations can really become a bottleneck – one of the reasons they’ve been exploring AI instead. I did a quick search online to see how much renting a beach side villa in California costs for a day, and at the high end it can easily be a couple thousand $$$$. Now imagine this: - You pay $1000 to rent a beach side villa for a day - You pay $6000 for a team of creatives (photographer, set designer, etc.) - You spend days bringing all your furniture to the location (or paid someone to do it)... Just to find out that the weather forecast for that day was wrong and it’s cloudy all day. All your money and time just went to waste. Is this a risk worth taking? Some say it’s a risk inherent to outdoor, but with Presti (YC S24)'s AI you don’t have to worry about that, since you can just dictate what kind of weather you want, and, unlike 3D rendering, AI is *seriously* good at rendering outdoor details like trees, leaves, etc. (the best part: you can try it for free). Furniture Today featured us in an article about the difficulties outdoor furniture struggle with specifically, and why AI is one of the obvious solutions many marketing teams are looking at. Link in the comments!
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"We spend a lot of time playing around with AI. I need to understand what we're not going to do and what it is capable of." — Alex Bernhardt, Jr., CEO of Bernhardt Furniture Bernhardt Furniture has been around for 135 years, making it one of the leading (and oldest) brands in the furniture world—and they’ve started testing AI for imagery. In a recent episode of the Business of Home Podcast with (awesome) host Dennis Scully, their CEO Alexander Bernhardt shared insights on the company’s AI experiments. The furniture industry isn’t exactly known for being on the cutting edge when it comes to tech, but when a legacy brand like Bernhardt starts exploring AI, you know things are changing. It’s a sign of where we’re headed—and it makes me optimistic. Oh, and those dressers with feathers and female heads? If you’re using Presti (YC S24) AI, you won’t have to worry about that. 😉 Link to the full episode in the first comment 👇
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One of our customers just forwarded me an email thread between him and the CGI agency he used to work with, and I was shocked 🤯 ! "On the roomset, I have a couple of small amends myself, I have added these below. We can jump on a call to run through. - Could we add some décor to the dining table—maybe a vase or some plates? - Add more texture to the walls - Shift the camera slightly to capture more of the dining chairs and less of the sofa - Soften the wall color—perhaps a warmer cream instead of bright white - Ceiling feels a bit dark—lighten if possible - The outside view might be too bright/distracting - Consider adding wall art in the gap between the two doorways - Add a bit of dust to the windows for realism" You get the idea… he was basically describing to a human something he could just have described to Presti (YC S24) and get done is a few prompts rather than wasting weeks of back and forth for revisions. Is this an email you could have written? If so, I have something for you in the first comment of this post – check it out!
Was it worth travelling 6,500 kilometres (~4,000 miles) to High Point Market? Well let's see: (1) We met with +500 new potential Presti (YC S24) partners (2) We connected with some of our existing users (👋 Phillips Collection, Dovetail Furniture, Armen Living and many others) (3) We had an awesome time at Hooker Furnishings Corporation's showroom together with our friend Spencer Musick over at Furniture Today Our thoughts on our first time at High Point Market Authority now to be read in Furniture Today (thanks Spencer!) – Link in the first comment of Damir Babacic below👇
Every High Point Market, someone will tell you how AI will disrupt the furniture industry, but it still hasn't… until now. Over +100 brands already use Presti to generate photorealistic lifestyle images of their furniture in seconds. Curious to learn why they choose us over other players? Then get a free demo at your showroom at Market this week at hpm.presti.ai
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To everyone saying that 'AI photos aren't realistic enough'... Tell that to our friends at Sketch Design Maroc using them on billboards. You heard right, billboards! 🤯 And guess what? Customers can’t tell the difference. It’s 2024–AI-generated visuals are everywhere, you probably don't even realize. Furniture brands that are still spending thousands on photoshoots and waiting weeks for images, you're falling behind. AI does it in minutes, and more than 100 visionary brands like Sketch understand this and decided to work with Presti (YC S24). Curious how? Let's get in touch 👀 --- Shoutout to Youness Mouhyi and the Sketch team for pushing the limits of AI imagery 🔥
If you're in furniture, and are still relying 100% on photography, you're literally burning money and time. Let me break it down step by step 👇 The Traditional Photoshoot Process: 1️⃣ Wait for your product to arrive from the manufacturer to start 2️⃣ Start the planning of the photoshoot with your team 3️⃣ Find a (good) photographer that is available 4️⃣ Find a location that is available and close 5️⃣ Find a good set designer and props 6️⃣ Transport everything to the set 7️⃣ Shoot, rearrange, iterate 8️⃣ Editing and selection 9️⃣ Review + feedback 🔟 Get final images 🧮 The Bottom Line? 👉 Total time? At least 2-3 weeks 👉 Total cost? $5,000 - $30,000 depending on the scale 👉 Total photos? Typically ~100-500 unique photos Now, the AI Way with Presti (YC S24): 1️⃣ Don’t wait for the product – Just use the pack shots you already have 2️⃣ Upload to Presti – Generate literally hundreds of images 3️⃣ Edit photos – Relight, Accessorize, Enhance to 4K, ... And you're done! 🤯 👉 Total time? 1-2 hours 👉 Total cost? A few $ 👉 Total Photos? ∞ of unique photos Compare that with traditional photography, and it’s clear… You’re burning time and money if you’re not leveraging AI. --------- "But Hamza what's the ROI?" I’ve built a calculator to show you exactly how much you could save by switching to AI (link in the first comment).
Can You Spot the Difference Between AI and Not AI? 🤖 vs. 📸 I hear it every day: "But Hamza, AI-generated images can’t match the quality of real, human-made visuals." But how true is that? 🤔 At Presti (YC S24), we decided to put this idea to the test—literally. We created an online test to see if you can spot the difference between AI-generated images and traditional ones (Spoiler alert: It’s harder than you think 👀) Why does it matter? 1️⃣ AI is faster and more scalable 2️⃣ Cost savings are massive 3️⃣ Better conversion rates Think you can tell the difference 10/10 times? Take the test and find out: https://game.presti.ai Share your results in the comments! 👇
Dernier round
Mise de fonds initiale3 488 670,00 $US