Squark is an Explainable AI and MLOps platform for marketing, business, and data science teams. Immediately prioritize the decisions and actions that drive growth by automating and operationalizing AI using no-code or an API.

Activate data you already have and integrate forecasts and prediction to and from any system and into operational business processes.

Use Squark's automated AI power to identify growth opportunities, mitigate customer and campaign risk, and know what will happen next in your business so you can maximize your business potential by making confident AI-informed decisions.

Squark’s powerful no code predictive capabilities and ease of use make it the top choice of many businesses.

Squark automatically cleans, prepares, engineers, and selects your data. The software then creates 1000’s of models to find the best one to answer your business question.  Squark also tells you “why” outcomes have occurred historically using Explainable AI so you know you can trust the fair and unbiased results.  Think of it as algorithmic attribution on any data for any outcome not only historically but the attribution is applied to predictions too. It’s that powerful.

From data science perspective, the software automatically creates an entire ML/AI pipeline for you automatically from raw data to interpretable results to model code exports and API endpoints.  Functionality includes automated data cleaning, data preparation, featuring engineering including NLP, feature selection, and automodeling across binary and multinomial classification, advanced regression including neural networks, univariate and multivariate time series forecasting, and deeply explainable AI (using permutation importance and SHAP) for any data type, including explainable NLP.   Squark supports the biggest of data and the smallest of data and can run on GPUs.

Squark is an award-winning and industry recognized AI platform that has made AI as simple as spreadsheet, while still providing world-class results that can compete with any hand-coded model.  Humans, however, can’t code, validate, and test thousands of models across dozens of algorithms like Squark can.

 

1.

Create a project and select the type of question you’d like to predict

Create a new project or select a previous project to rerun. Select which type of prediction that best suits your question.

Project Types:

  • Binary
  • Multi-Class
  • Regression
  • Time-Series Forecast

2.

Connect your data to Squark to learn and predict

Use Squark’s Connectors or simply drag and drop your csv, excel, or zip to begin the automated data preparation and machine learning process. Select the column that contains the data you want to predict or analyze so Squark knows what data to train on. You have the option to exclude columns of data that aren’t necessary, making it easier for you to upload whatever data formats you have. Squark automatically removes columns that aren’t helpful for the prediction (it’s part of the secret sauce). The final information that is provided is what Squark learns from (hence the name machine learning).

3.

Provide a production file to predict an outcome OR only run training data

Add your production file or skip this step and simply run the training data that you previously connected or uploaded. Squark will prepare the training data by automatically engineering, enhancing, and improving it for analysis. Then Squark will create, tune, select, and apply the best predictive model (out of hundreds) for your data from today’s leading algorithms. With the most cutting edge algorithms applied – from deep learning to natural language processing, this process is where the machine learning magic happens.

4.

Evaluate your results

All in a matter of minutes your data is cleaned, prepared, enhanced, and analyzed. The best customized algorithmic model is selected for use with your data to deliver accurate predictive results. In the case above, where Squark predicts the outcome of two classes (yes, or no), the dark blue columns showcase the results of your prediction and allows you to view the probabilities for each record.

5.

Analyze, Action & Integrate

Wondering how your data influenced your results? Check out different models and graphs to visually see why the prediction occurred. Understand the specific data (columns and values) that caused the outcomes. You can view Squark’s Explainable AI for each individual record or see a summary of the drivers for the predictive outcome across your entire dataset. It is important to not only understand your predictive results, but what is causing them, so that you can make quick and decisive decisions to power your business.

You and your team can take immediate action on your newly created predictive data by sending it back into the system of origin with Squark’s REST API.

Connectors support Any Data in Any System, including:

Don’t see the one you’re looking for? We likely have it built already are always creating new connectors; let’s chat.

Security is the Core of Squark

Squark no-code AI SaaS platform is the most flexible, fastest, and easy-to-use automation of AI on the planet.  Use clicks (not code) to automatically find AI-insights in the data you already have. Prioritize decisions and know what actions to take using any data from any system. Drive growth and expansion by forecasting customer outcomes over time, understanding attribution & media mix, predicting lifetime value, and improving retention .  Squark’s no-code AI is as simple and easy-to-use as a spreadsheet. It’s built for analysts yet our award-winning software is more powerful, accurate, scalable, and feature-rich than many other AI systems deployed in business today.  

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