Companies are increasingly using Artificial Intelligence (AI) services, especially when it comes to automating internal processes or improving their customers experience. The strong development of AI makes it a commodity.
These functionalities can be found in several fields: health, human resources, tech, etc. These AI technologies come in various forms:
The major players in the cloud space (Amazon Web Services, Microsoft Azure, or Google Cloud) offer solutions that give users access to this kind of service, but there are also smaller providers like Mindee, Dataleon, Deepgram, AssemblyAI, Rev.AI, Speechmatics, Lettria, etc. who are already in competition with them. They frequently manage to provide very effective solutions as a result of their specialization.
There are numerous suppliers offering a wide range of solutions in the AI industry. As a result, choosing the optimal option for your purposes might be challenging because performance is dependent on user data. The conversion of audio to text won't always be the same whether you use AssemblyAI or Google Cloud, for instance. In fact, if Spanish is being utilized, one service may produce a better transcription than the other.
Here are a few additional comprehensive analyses that illustrate how various providers perform differently, along with specific statistics for: vision, OCR, prediction, object detection, speech-to-text and facial recognition. An AI comparator also provides quick access to public benchmarks between vendors based on public data.
In order to deal with the complexities of this market, Eden AI is creating an API that will provide consumers access to whatever AI engine they choose. The business unites various engines and offers a solitary point of entry for using, evaluating, and comparing them. This is where Eden AI shines out because to its distinctive, multi-vendor strategy, offering various levels of performance, pricing, and response quality based on the data processed.
The company's ambition is to democratize the use of AI to make it easily accessible to all developers. To achieve this promise, Eden AI focuses on three main axes:
1. The company describes itself as an aggregator that operates on a standard: it offers the ability to use multiple engines at once, as well as to replace and combine them with the greatest ease. Eden AI handles cost centralization so that users can save time.
2. The business also creates the "Genius" feature, which generates recommendations automatically and dynamically based on the data of each user. Eden AI switches to the most suitable options and engines for the user.
3. Finally, the user will presumably mix a variety of AI engines for various purposes. The "Pipelines" tool enables the direct creation of a data processing pipeline that enables the instantaneous combination of AI solutions between them.
To succeed in its project, Eden AI recently raised $1.6 million in a round of financing supported by the French accelerator of 50 Partners, and also by renowned business angels: Olivier Pomel (Datadog), Nicolas Dessaigne (Algolia), Sébastien Pahl (Docker), Julien Lemoine (Algolia), Benjamin Fabre (DataDome), Laurent Letourmy (Ysance), Jean-Baptiste Aviat (Sqreen), Georges Gomes (Div Riots) and Thomas Grange (Botify):
Eden AI is therefore developing in a booming market, with the ambition to make AI accessible to all developers and no coders. Eden AI platform is easy to use and can be customised with thrid party developers.