Viso Now - Build computer vision applications with AI

Hey everyone 👋 I'm Talia, member of the viso.ai team!

So, why Viso Now. As we've been in the computer vision space for quite some time, we saw that our customers kept running into the same annoying gap on their projects: the model does its job and flags something, but then what? In practice, that "then what" turns into someone hacking together a script to dump detections somewhere, a human squinting at a spreadsheet, and alerts that either don't exist or exist in someone's inbox filter that nobody trusts. We got tired of rebuilding that glue every time, so we built it once, properly.

What that looks like in practice: you point Viso Now at your footage or images, it routes anything flagged into a review queue that's actually built for a person to move through quickly (not a data scientist, an actual ops or QA person), and it pings you the moment something crosses whatever threshold matters to you.

The part I like most is that it doesn't care what your "something" is. We've had early users piloting it for things as different as catching defects on a production line and, genuinely one of my favorite examples, a small marine biology team using it to track coral bleaching across reef survey footage. Same review-and-alert loop underneath, wildly different Tuesday for the person using it.

If you're running or experimenting with a CV model and have hit that same "okay but who actually looks at this" wall, I'd love to hear about it. Drop a comment, and I'll be in touch today!

Making computer vision more accessible is exciting. Doing it while building a second product at our stage is the harder part.

That’s what makes Viso Now meaningful to me. It lowers the barrier for others to experiment with computer vision, while also representing a pretty significant step for us as a Seed-stage company.

Traditional computer vision often depends on specialist talent, complex infrastructure, and a lot of upfront investment just to get an idea off the ground. Those same constraints show up inside a startup too, with limited resources, constant prioritisation, and the challenge of deciding where every dollar of investment should go.

Working across finance and operations at viso.ai, I see those trade-offs first-hand. Proud of the team 🚀

Hi Product Hunt! I'm Gerard the CTO at viso.ai.

As CTO, this launch is especially meaningful to me because Viso Now changes something fundamental about how computer vision software gets built.

For years, the hard part of computer vision was the model. Turning a camera feed into a useful application meant model selection, dataset generation and model training pipelines all of which require time and technical experitse - often before you can validate whether the requirements of the use case can be sufficiently met.

The hard part now is everything around the model: routing observations into a workflow a human can actually act on, reviewing outcomes at speed, setting thresholds that mean somethings and visualising the results for the business.

With Viso Now, we wanted to invert the workflow: start with the problem you want to solve in the physical world, describe it, and let the system build the vision logic around it. You can connect cameras, iterate on the behavior, and get to a working application dramatically faster.

But this ins't all value truly lands when someone can act on it. Viso Now automatically turns that logic into live dashboards: detections become charts, trends, and metrics that speak the language of the business. And through connectors, relevant outputs are sent straight into the tools your team already use.

Under the hood, making something feel this simple required solving a lot of hard engineering problems around vision reasoning, video processing, orchestration, and turning ambiguous natural-language intent into reliable application logic.

That’s been the fun part for our engineering team!

We’re still early, and I’d love feedback from builders here - especially on the kinds of real-world problems you wish to solve and the challenges you face.

Happy to answer any questions about the product or where we’re taking it next. 🚀

Hi Product Hunt!

The very first company we showed Viso Now to was a prospect we'd initially only been able to offer a traditional computer vision solution to. That would have meant months of development and $30,000 in investment before they even had real data, and the question they needed answered was simple: how do people actually interact with our new machine? It runs on its own, so do people still try to engage with it? Do they stand around watching, or just walk away and let it do its thing?

Two weeks later we gave them pre-beta access to Viso Now. They solved it in minutes, then kept refining the logic themselves. Now they have a fully shipped solution that took them hours to perfect, and instead of manually reviewing footage clip by clip, they get the answer through charts and dashboards.

Their first reaction was to call it "magic." We actually had to cut that line from our slides because it sounded too much like marketing copy. But it's genuinely how it felt to watch.

Don't take our word for it. Try Viso Now today, it's free.

Really interesting. Can I integrate cctv cameras to viso now? Getting data from the physical world sounds good

Can I connect viso now to other agents?? or how does the output integrations works? Looks great btw ❤️❤️

Been an exciting journey building @Viso Now from the frontend side.

Seeing everything come together into a platform that makes computer vision more accessible and actually useful has been really rewarding.

A lot of thought, iteration, and teamwork has gone into this.

Really proud of what the team has built.

Hey Product Hunt! Daniela here from the Go-to-Market team at viso.ai 👋

I’ve been at viso.ai for a year now, and seeing Viso Now come to life has been incredible. It genuinely feels like we’re witnessing a huge shift in how people can use computer vision.

A big part of my role is hosting events, building communities and getting Viso Now in front of people. My favorite part is seeing their reaction when they try it for the first time. The idea that you can analyze and understand the physical world simply by writing a prompt still gets a lot of “wait... that’s it?” reactions. 🤯

Viso Now has become a real showstopper at our events, especially within the ML and AI communities in London and Milan.

Very proud to be part of the team bringing this to the world. 🚀

Hi everyone! 👋 I’m Hammas, the backend developer at viso.ai

Viso Now makes building real-world computer vision applications as simple as chatting with AI. You describe what you want to build, add supporting images or videos if needed, and the platform generates the application and dashboard for you.

Whether it’s factory safety monitoring, event detection, or another CV use case, what traditionally takes months can now be built and refined in hours.

You can also chat with your application to customise dashboards exactly to your needs, generate custom reports, and schedule those reports to be delivered at defined intervals — all without needing to build it yourself.

We also connect to cloud providers to automatically fetch and process data, and can send results to platforms like Slack, Teams, email and more.

We’re constantly working to make Viso Now more powerful, efficient and easier to use. 🚀

Really excited to see what everyone builds with it!

Hey Product Hunt! Katie here 👋 I've watched @Viso Now go from a whiteboard idea to launching today

I speak with prospects and clients everyday, usually explaining computer vision rather than building it. Coming from an economics background, no ML experience, I still put together a defect detection setup and a logistics truck turnaround monitor, just by describing what I wanted to track 👀

What's stuck with me most is how fast the gap closes between "I have an idea" and "I have something working." That's usually the hardest, slowest part. Viso Now compresses it into minutes

Proud to be part of the team bringing this out today 💙