The four best SaaS solutions for AI

Artificial intelligence SaaS solutions!

These solutions work through API requests. Basically, you “ask” the algorithm a question via the API, and the algorithm gives you an answer. For example :

• I give you a picture of a dog, and I want you to tell me if it is indeed a dog
• the API returns the answer “true” or “false” with a confidence score

It’s a small revolution: you don’t even have to worry about training your algorithm or putting it into production: you call it and receive the result.

The other point of view? The tool is not free because this type of request generates a large volume of calculations and, therefore, a lot of computer resources.

But isn’t artificial intelligence at the service of the most significant number worth it?

AI SaaS Solution #1: Google Cloud AI Products

Google Cloud is the first artificial intelligence SaaS tool I propose to you. There are many uses:

• Auto Machine Learning, or auto ML: object detection, classification, scoring
• Conversational AI: intelligent translation or transcription, chatbots…
• Vision OCR: extracting text from a PDF
• Natural Language Parsing: language analysis

Do not redo everything by hand if you encounter this type of problem. As long as your request volumes are not too high, this solution remains inexpensive.

AI SaaS Solutions #2 – Hugging Face

Hugging Face is the original chatbot solution to fall in love with.

The developers capitalized on what they had already developed and decided to make their work available. The community can thus continue training, imagine new problems, and create a large panel of state-of-the-art algorithms.

Their AI SaaS product is therefore called Inference API and allows any trained algorithm, using the latest Transformers models and calling them with a simple API request.

The solution is very accessible: the first package costs $9 per month, and you don’t even have to take care of the IT infrastructure. It’s also an easy-to-use tool that you can integrate into Zapier or n8n.

Here are three examples of use cases:

• identify recurring issues on your Zendesk tickets
• enrich leads with scoring
• determine the emotional streak of someone leaving comments about your brand

AI SaaS Solution #3 – Synthesia

This third solution uses the GAN method, or Generative Adversarial Network, in which the judge and the artist are distinguished.

• The artist tries to produce the most realistic images possible.
• The judge refuses images that are not realistic enough.

The parallel work of these two entities leads to a level of production of images of such high quality that it is no longer possible to determine whether they are true or false.

Here is an example of concrete use with Synthesia:

• You write a text.
• You choose an avatar.
• The latter will move his lips according to the text.

Therefore, this use case is very popular in video games or cinema: no more need to do dubbing! As part of prospecting, the company sends a personalized message to the prospect using the person he met during the product demonstration.

AI SaaS Solution #4 – Teachable Machine

This latest artificial intelligence SaaS solution is particularly fun; you can even use it with children. The idea is to train a computer to recognize your images, sounds, and postures using Machine Learning.

For it :

• stand in front of your camera and reproduce a posture several times
• the next time you turn on your camera, the algorithm will tell you what posture you are performing

You can then export your model and import it into an application or software you are developing. 

These four tools are particularly easy to use and allow you to integrate the first layer of artificial intelligence into your products.