Fuzzy.ai

Build smarter software. An AI decision-making API.

20 followers

Build smarter software. An AI decision-making API.

20 followers

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Unified API

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Predictive AI

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AI Infrastructure Tools

Fuzzy.ai is an API that takes a unique approach to AI. It lets developers start building AI-powered intelligent behaviour without training data or data science expertise.

Launch tags:API•Developer Tools•Artificial Intelligence

Launch Team

AWS Startup AdvisorPersonalized AWS guidance that meets you where you’re already building

Promoted

This is awesome! Congrats @evanpro and @mattfogel it's an exciting space and I love the approach you're taking with it. How long before it can be used by non-developer in a conversational manner?

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10yr ago

Maker

@pedram92d Thanks Pedram! We've already seen some non-developers getting the initial rules set up and then handing things off to their engineering team, which is really exciting, and is a first step to making it possible for just about anyone to do. The challenging part is making it easy for a non-technical user to integrate our API into their product. I'd love to find some good ways to make that happen!

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10yr ago

@mattfogel I love the approach if having a middle point handling the connection / translation like how Zapier works. I'm personally super interested in seeing AI leveraged by non-developers like business owners or marketers, we should continue the convo.

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10yr ago

Maker

@pedram92d absolutely. any time!

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10yr ago

Hi Evan - exciting product! Will you be planning a self-hosted version? Outsourcing business-critical decision making structures might be somehow scary to some companies (especially in Germany)

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10yr ago

Maker

@valerioneri Great question! Our customers so far have been comfortable with using a remote API. If we have someone who really wants to use the product on-prem, we would probably be willing to pilot it. (Never say never, right?) But for right now we'd like to minimize the complexity for the majority of developers.

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10yr ago

@evanpro is it possible to have the feedback apply to only a given end user? So that individual end users are essentially training their own logic?

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10yr ago

Maker

@seanpaley Hey Sean, you can totally do that. All you need to do is take your base set of rules and create multiple agents (one per user or bucket of users in this case). They all start from the same point but can then diverge based on feedback. Make sense?

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10yr ago

@mattfogel makes sense, thanks

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10yr ago

@evanpro So essentially you are allowing users to train their own machine learning algorithm? How long does that usually take on the dev side?

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10yr ago

Maker

@j_r_wi11iams Hi Jesse, that's exactly right. We've had some users get up and running with just a few hours of work. The main way we differ from some of the other ML-as-a-service offerings is that we try to address the fact that lots of devs are in situations where they know roughly how they want a decision-making system to behave based on past experience (for example, you know what factors tend to indicate a fraudulent transaction if you're using Fuzzy.ai for fraud detection) but don't have the hundreds of thousands of rows of historic data to train a purely statistical model. With Fuzzy.ai, you can start by defining the basic behavior you're looking for with a set of rules, and then as you use the system and provide feedback, it learns and improves automatically over time. In situations where our users know roughly how they want things to work, we've seen them go from signup to working agent in a few hours. Does that make sense? Happy to go in more depth if you'd like!

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10yr ago

@mattfogel wow - that's really amazing. Thanks for putting this together, it's long over due. Current ML services are painfully unable to scale ... it makes sense that by limiting the scope of behavior with pre defined rules you can dictate the proper response faster.

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10yr ago

Maker

Hey everyone! I’m Evan, co-founder and CTO of Fuzzy.ai. Our team is very excited to be opening our doors for new registration today. We’re taking a different approach to artificial intelligence. Fuzzy.ai lets developers implement optimizing, intelligent behaviour in their Web and mobile apps without having tons of training data or requiring a statistics Ph.D. We do this using rules based on your knowledge of your business domain. These rules are optimized over time due to feedback from production use. We’ve applied this technique to a number of interesting business cases -- fraud detection, recommendations, content optimization, and dynamic pricing. Our Web-based developer environment makes it easy to design an agent quickly, and our SDKs for different programming languages make integrating with our REST API pretty painless. We hope the Product Hunt community enjoys the app and we look forward to your questions and comments.

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10yr ago

Maker

And I'm @evanpro's cofounder. Happy to answer any questions you may have. We'll be on here all day!

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10yr ago

Fuzzy.ai

Maker

Hello Product Hunt! We're excited to share what we've been building. As a thank you for all the love and support, we've set up a coupon code "PRODUCTHUNT" to use when you sign up - it'll give you 3 months free on on our standard plan when you upgrade!

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10yr ago

Maker

@walkah Gonna be great!

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10yr ago

Seems exciting. First small things: the "confirm your address" email comes from help@fuzzy.ai you might want to change it to something more welcoming. Also there is no clear examples of what the product does on your website (before signing up) The second thing is that the onboarding is not engaging, it needs more personality, it's not very clear who you are targeting as an audience (devs or more mainstream) thus your message is sitting in between. If you're looking for technical people just get to the code part (less documentation), if it's for a more mainstream audience you might want to make your onboarding more friendly (images, videos, ton of voice etc...)

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10yr ago

Maker

@azizmorsly Thanks for the feedback! We've tried a lot of different options for the onboarding process, and for our target market (developers) the current interactive tutorial seems to perform best for getting users activated. Video seems to stall developers out, and we really want to get people working on their own first agent. But I like the idea of using it as an alternative flow for less technical users -- I'm going to see what we can do there. As for examples: we have some on our blog at https://blog.fuzzy.ai/ but I agree that we could bring that more forward in our pre-signup experience. All good stuff -- appreciate the deep analysis.

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10yr ago

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