The AI & Analytics Engine empowers everyone, regardless of data science expertise, to leverage their data and build machine learning models to predict future events and make better decisions, all without needing to code.
Hi Product Hunt community,
My name is Quan, and I’m the founder of PI.EXCHANGE. A huge thanks to everyone in the community for checking out the AI & Analytics Engine.
It has been a wild ride. Over the last 18 months, the team at PI.EXCHANGE has been working tirelessly to deliver this launch. Countless number of hours for designing, coding, getting feedback, trying, failing, and trying again. We have a deep appreciation to all our users, early adopters, and anyone who has supported us along the way.
We created the Engine from the real need to make machine learning easy, simple and affordable. We know companies are noticing the power of machine learning, yet 65% of SME’s are holding back from using this tech.
We’ve seen that starting a data science or machine learning project can be really daunting - and out of reach for those without the data background, deep pockets and lots of time. Which means only a select few benefit from ML. We want to make ML more accessible so more people benefit, so we made the Engine.
The AI and Analytics Engine unlocks the value from your data, allowing you to build predictive machine learning models - without needing to code. The Engine is designed for analysts, developers, marketers and data scientists across sectors, especially in businesses where resources are limited.
The Engine acts as your end-to-end data science and ML assistant guiding you from raw data to deployable models. Some of my favourite features are:
- Smart data preparation: If you’re data isn’t quite ML-ready just yet, the Engine can look at your dataset and provide a meaningful set of data wrangling actions (we call it recipe, because its repeatable - just like cooking) to make your dataset ready for modelling.
- Unique model recommender: The Engine tells you in advance the expected performance of the most optimal models before training, based on criteria such as predictive performance, training time, or training cost.
- Model insights: Sometimes you might want more than just the outcome, and to dig deeper into the data. Our what-if tool, feature importance and prediction explanation features help you understand your data, and why the model behaves as it does.
- Extensive integrations: It’s so important for any product to fit nicely into your techstack, so the Engine allows you to send your predictions anywhere with ease - Apps, dashboards and databases.
The dream started some 3 years ago, with the vision to democratize access and empower people to use ML, today feels like a huge milestone.
We know, for sure, there are still lots of things to improve - and we are committed to do so. Your feedback, good or bad fuels us bringing better products to market in an effort to make ML more accessible. And love it or hate it, we always love to hear from you.
Thank you for your support!
@quanpham
Hello! Your dream has come true and you have launched a product with analytics. I congratulate you and your team! Everything has already turned out - forecasts will help all your users.🤝
I run marketing for PI.EXCHANGE and am by no means a data scientist. The Engine really can be used by your marketing, sales, and business teams to pivot from reporting on historical data to predictive analytics - it ain't rocket science (just streamlined data science, woohooo!)
Any questions yell out!
I have had the opportunity to explore and utilize the AI and Analytics Engine, and I must say that it has truly exceeded my expectations. This remarkable tool has proven to be an invaluable asset for unlocking the hidden potential within our data, all without requiring extensive coding knowledge. As a [analyst/developer/marketer/data scientist] working in a resource-constrained environment, the Engine has become an indispensable ally in my pursuit of predictive machine learning models.
One of the standout features that I've come to rely on is the smart data preparation functionality. The Engine's ability to intuitively assess and enhance the readiness of my datasets for machine learning is simply outstanding. The concept of "recipes" for data wrangling is not only clever but also highly practical, as it allows me to consistently and efficiently transform raw data into a format suitable for modeling.
The model recommender feature has been a game-changer in my workflow. Being able to foresee the potential performance of different models before investing time and resources into training is a level of insight that significantly enhances decision-making. The consideration of criteria like predictive performance, training time, and cost empowers me to make informed choices that align with our goals and constraints.
What truly sets this Engine apart is its commitment to enabling deeper understanding. The model insights tools, including the what-if tool, feature importance analysis, and prediction explanation features, provide an unprecedented level of transparency into the inner workings of the models. This not only enhances my confidence in the model's outputs but also aids in identifying valuable insights that might otherwise go unnoticed.
Furthermore, the extensive integration capabilities of the Engine are worth commending. Seamlessly integrating with our existing tech stack is essential, and the Engine excels in this aspect by effortlessly allowing us to deploy predictions to various platforms, be it apps, dashboards, or databases. This versatility ensures that the value derived from our models can be readily utilized across the organization.
In conclusion, the AI and Analytics Engine has significantly elevated our data science and machine learning endeavors. It has not only streamlined our processes but has also enriched our understanding of the data and models. The dedication to user-friendly functionality, insightful recommendations, and seamless integration is truly commendable. I look forward to further exploring and harnessing the power of this remarkable tool in our ongoing pursuit of data-driven excellence.
It's inspiring to see the hard work and dedication your team has put into this project over the past 18 months. The Engine's mission to make machine learning more accessible, simple, and affordable is truly commendable.
I completely agree that starting a data science or machine learning project can be intimidating, especially for those without a strong background in data. BUT, the Engine's ability to guide users from raw data to deployable models without the need for coding is truly a game-changer.
@charliee1122 Many thanks Charlie. Pls give it a try and also give us some feedback. Registration is easy and no credit card required. If you need any help, pls do reach out via our website or our community slack (https://piexchange-community.sla...)
As someone who interacts with many startups on a daily basis, Pi-exchange has always stood out for their ingenuity and authenticity. Pi-exchange, led by Quan, is truly a first-class team. Today's AI & Analytics Engine product launch is a great testament to that. Well deserved and all the best!
I can see this empowering businesses and individuals alike to make more informed decisions. Can't wait to explore how it can benefit my own work. Fantastic job!
Just watched your video, this is certainly intriguing. Can you offer a few bullet points explaining the step where you build the model in a bit more detail?
Thanks!
Sebastian
@sebwebb Hi Sebastian, after building your predictive application (and specifying the problem type), you train the model either by using the Engine's recommended feature set, or your own. It gives you a list of models to choose, with estimated predictive performance and training time, and the Engine takes care of the rest.
Impressive! With the AI & Analytics Engine, anyone can use predictive analytics to get ahead of future events and improve decision-making. Can't wait to try it out!
PI.EXCHANGE