Skip to main content

Engineer.ai launches its Builder Now platform for rapid app prototyping and building

Engineer.ai combines AI with crowdsourced teams of designers and developers to build bespoke digital products faster that it would take to create a team.At least that’s what they say. Last year it raised one of Europe’s largest Series A investments at $29.5 million, led by Lakestar and Jungle Ventures, with participation from SoftBank’s DeepCore. So far it’s been used to create products like BBC, DiditFor, Manscore and ZikTruck.

Now, while it’s pretty common to have platforms claiming to build your apps faster than a team, actually experiencing it in real-life makes a huge difference. So when I swung by the Builder.ai booth at the Slush conference last Friday, I was a lot more impressed than I predicted I would be.

At the conference, the company launched Builder Now, an instant prototyping tool that helps anyone design an app in as little as 10 minutes. I honestly did not believe it was possible until I saw it. But, to build an MVP, or even a more sophisticated app, it’s far faster than I could have imagined.

Take building an app like Uber. You select ‘Uber’ on the site and it instantly gives you the 36 features it would take to build a gig-economy app like Uber. Then you go ahead and add other features.

The modern issue is that all founders have a ‘project’. But then they go from a project to ‘hours of engineering’. Which is totally different.

Builder’s CEO and Co-founder, Sachin Dev Duggal, says they found that 20% of all app features make up 80% of all apps. So by categorizing those and putting them into what is effectively a pick-and-mix store, they could massively increase the time to build an app.

Builder Now lets a founder explore ideas and show how they can work, before investing time and money into development. It’s fast (I can attest to this having sen it), free to prototype and trims out hours of specification writing and meetings, by letting you try out user journeys.

Dev Duggal, says: “We’re removing one of the biggest bottlenecks, developing a prototype, which enables people to build confidence in their idea before they invest significant time and money.”

As a user builds an app, they see their costs right in front of their face. More features equal higher costs to build, of course. But they can slow down the development to make it cheaper to build.

That spec then goes out to engineers who can see what the client wants, build it and voila!

At a certain level it competes with Gigster, albeit it buys in excess capacity from over 100 Dev shops in 10 timezones, as opposed to being a modern-day consulting shop.
 
It certainly beats building a team, waiting to be assigned a product expert and a design team, sorting out the user flow and creating designs from scratch. The click and play system also lets you sharing a link to the prototype to gather early feedback.



from TechCrunch https://ift.tt/37DHVzE
via IFTTT

Comments

Popular posts from this blog

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

RIP to FTX?

Image Credits: TechCrunch We had to talk about the news that rocked the crypto world this week in our  Thursday episode :  the Binance/FTX deal that never was . To begin, we gave you a rundown of WTF just happened with the beef between two of the largest crypto exchanges in the world and how Sam Bankman-Fried’s storied exchange  fell so far so fast , bringing down investors, cryptocurrencies and other companies in the space tumbling down with it. Welcome to  Chain Reaction , where we unpack and explain the latest in crypto news, drama and trends, breaking things down block by block for the crypto curious. You can listen to the episode below: Once we ran through the background behind the situation that’s been unfolding in real-time this week, we shared our thoughts on the massive implications this fiasco might have for the rest of the crypto industry, from  venture capitalists and startups  to  regulation across the globe . It’s a fascinating ...