A sleek, modern interface that is intelligent and intuitive.
Whether you’re looking for a bite to eat in an unfamiliar neighborhood or simply looking for a new place in your own area, this free app will point you in the right direction.
The personalized app...anticipates your dining needs and summarizes the information you need for a personal recommendation.
It’s surprisingly difficult to stand on a street corner and use your smartphone to find a restaurant you’ll actually like...[Ness] hopes to remedy that.
Ness 2.0 is a really nice update, and I can’t recommend it enough.
...what Ness is up to is really about maximizing the accuracy of personalization.
Now [users] don’t have to launch the app then kick off searches; Ness will just know what they like and make suggestions.
It's kind of like Siri meets Yelp. The theory is the more Ness learns, the better its recommendations.
It should be interesting to see how Ness chooses to incorporate its likeness engine into products in other areas such as news, movies, or even shopping. There’s no doubt that personalization only enhances the discovery experience for users in these categories, and Ness’s entry into these areas could be a win for the company.
Ness will help ensure that you stop wasting time deciding where to eat and find the best place for you.
eHarmony for eaters. Tell Ness what you like by reviewing places you've been, and it'll serve up recommendations based on where you are and what you love.
The appetizing discovery app not only finds restaurants nearby based on your cuisine preference but one-ups the competition by considering your taste preference based on past ratings you’ve given similar venues.
While Ness’ recent addition of Instagram gave it a design advantage over competitors like Yelp and Fondu, its easy-to-use and highly accurate rating system is its true strength.
The Ness Dining Guide for iPhone is a gorgeous way to discover restaurants and cafes that you'll like.
... Ness is the Pandora of restaurant apps. It builds up your "taste" for a place based on your likes, but it can also incorporate friend recommendations.
... a sleek, social food app that recommends what to eat next.
I’m proud to announce that I’ve had a splendid week in terms of dining due to this icon on my home screen.
[Ness] uses machine learning technology, deriving results from a variety of social signals that you provide it from Facebook, Foursquare and Twitter, as well as your behavior and other data, to figure out which places you’ll like the most. The result is often what you’re hoping for — suggestions for great places that you might not have seen on other restaurant discovery apps, or heard about anywhere else for that matter.
Corey Reese, CEO, Ness Computing, 26 Where to go tonight? He created Ness, a personalized search engine that learns your tastes in things like restaurants.
Palo Alto-based Ness Computing launched its dining recommendations app only about three months ago and already it’s being wooed by the likes of Goldman Sachs, was just listed in the Staff Favorites section of Apple’s iTunes App Store, and closed a Series A funding round with some big time investors.
...what Ness does is already special, and getting better with the new version.
...kudos for delivering a colorful and delightfully rich app experience
...these are the 30 or so startups Goldman has designated as potential IPO candidates.
While there are a lot of restaurant discovery apps available for iOS devices, few if any are as beautifully crafted and ambitious as Ness.
Nationally, the hottest mobile application that focuses on restaurant recommendations is the Ness iPhone app.
Ness is aiming to provide much more personalized search results than what exists on sites from Google to Yelp.
Score one for Ness... Could make for one killer, subjective mobile search engine.
[Ness] takes a different approach to restaurant recommendations than Yelp, UrbanSpoon, and the regular tools people usually use... We're impressed by the results so far. If Ness can nail down restaurant recommendations, it has the opportunity to become a new type of mobile search engine that can be used for almost any decision.
Even in a city chock full of great restaurants, it can be really tough to find a new one I'll be sure to like. That's where Ness comes in. Behind the slick user interface, [there's] serious tech muscle.
Several applications help you search for restaurants, movies, places to shop, etc. However, none of these sites make an effort to truly understand your personal preferences... Ness Computing is doing just that.
Sexy, smart, ingenious.
If you use search products today there's plenty of things for solving objective inquiries. But what about things that are more subjective?," Reese says. "What about, 'what's best for me?'. Is there a concert this weekend that I should go to?," he continues. What Ness is building will attempt to answer these inquires.