We are pleased to announce that NLP Cloud’s Text Technologies have been integrated into Eden AI API.
NLP Cloud is an advanced AI platform that prioritizes data privacy, enabling businesses to utilize cutting-edge AI engines and train their own models while safeguarding data confidentiality.
Their platform supports multilingual capabilities, simplifies text processing, and allows for custom model deployment, streamlining AI project delivery. They offer a range of AI engines at affordable rates, including spell check, keyword extraction, sentiment analysis, ner, and code generation.
We want our users to have access to multiple AI engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs.
There are many reasons for using multiple AI APIs :
You need to set up an AI API that is requested if and only if the main AI API does not perform well (or is down). You can use the confidence score returned or other methods to check provider accuracy.
After the testing phase, you will be able to build a mapping of AI vendors' performance that depends on the criteria that you chose. Each data that you need to process will be then sent to the best API.
This method allows you to choose the cheapest provider that performs well for your data. Let's imagine that you choose Google Cloud API for customer "A" because they all perform well and this is the cheapest. You will then choose Microsoft Azure for customer "B", a more expensive API but Google performances are not satisfying for customer "B". (this is a random example)
This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because AI APIs will validate and invalidate each other for each piece of data.
We had the chance to talk to Julien Salinas, NLP Cloud’s Founder and CTO, who agreed to answer some of our questions:
NLP Cloud is an AI platform that serves many advanced models through a simple API (generative models, speech recognition, summarization, classification, NER, and much more.). Customers can also fine-tune their own model on NLP Cloud.
We created the company in early 2020 when we realized, as full-stack developers, that a lot of progress was made in the Natural Language Processing field, but that deploying these models was a challenge.
We are mainly competing against OpenAI.
Many customers are switching from OpenAI to NLP Cloud for several reasons. Many are looking for a privacy focused alternative (at NLP Cloud we do not store and reuse our customers' data and we offer several solutions for applications that require an advanced level of privacy, like on-premise models).
Most of them are also looking for a better level of support (at NLP Cloud you get timely and quality responses to your questions). And last of all many customers are in need of a more robust service with no disruption (while OpenAI regularly experiences outages, we very rarely do).
Our customers are extremely diverse, from cutting-edge AI startups to agencies and large corporate customers. Most of them are using NLP Cloud in their business for privacy reasons, quality of support reasons, and infrastructure reliability reasons.
We are going to propose many new AI models in the coming months. Stay tuned!
You'll need some documentation to use NLP Cloud API on Eden AI.
Eden AI is the future of AI usage in companies. Our platform not only allows you to call multiple AI APIs but also gives you :
You can see Eden AI documentation here.