AI should be natural. AI should be explainable.
Deep neural networks are not the only way to do AI.
Try the Alpes approach and see the difference.
Introduce AI into your product for the cost of a single AI engineer.
We can help you introduce AI into your stack in days.
Alpes has the fastest learning algorithm with O(NlogN) time complexity. This will allow you to iterate training with your data fast to find the right feature set.
Algorithm can perform incremental learning. When fed with new training data you don't need to run the whole training process again. This will allow your products to imbibe new data on the fly while making decisions.
Clear understanding of why the system is learning or not learning. AI is not a blackbox anymore. This will allow you to fine tune your data and get the right data to make your product learn better.
Well defined generic train and test APIs for all kinds of data. Specific APIs for speech, vision and text problems. Easily integrate into your developer stack.
Host the trained models yourself so that your data never leaves you. Or run the trained models from the Alpes cloud.
Challenge: Build a personalized wakeword detection system to allow integration into mobile and web apps.
Solution: Collected 1000 utterances of wakeword and helped in identifying the right features. The features were mapped to the voice space using our patented Alpes algorithm.
Challenge: Improve agent productivity suggesting right answers to customer questions.
Solution: Collected 650 tickets and applied NLP techniques like stemming, lemmatization to extract the core of the tickets. The core sentences were classified using Alpes algorithm to form the base model. This model learns incrementally every day.
Challenge: Build a background removal tool from photos.
Solution: Using image processing techniques we identify the main object in focus. The object pixel co ordinates are identified and the remaining pixels are converted to white.
If you have user behaviour data like buying information, liked products, page views etc we can use our algorithm to group similar patterns and provide recommendations. Unlike other algorithms in the market, our system can perform incremental learning on the fly. This means that your recommendation engine will always be learning and will adapt to new user behaviour. The recommendation engine can also be used to power your notifications.
Alpes algorithm has provided very good results for a variety of NLP tasks including text classification, summarization and sentiment analysis. If you have a good dataset of documents, tickets, chat or other textual data, we can use the Alpes algorithm directly or use it in combination with BERT,GPT-2 language models. We have had especially good results with chat bots and smart reply systems.
CEO, M.S. (IIT Kanpur), Ph.D (University of Madras)
Vice President, Ph.D University of Cambridge
We at Alpes are striving hard, to apply our research for real-world impact in health, science, energy and many more domains. Alpes is one of the world leaders in artificial intelligence research and its application for positive impact. Our motivation in all we do is to maximise the positive and transformative impact of AI. We believe that AI should ultimately belong to the world, in order to benefit the many and not the few, and we’ll continue to research, publish and implement our work to that end.