For data scientists around the world, the goal has always been to deliver highly accurate AI predictions with transparency in ALL operating conditions. However, achieving this in the real world has hardly been a cake walk. The results are clear - AI projects that are stuck in the lab (autonomous vehicles), AI that learns everyday but quickly becomes biased (recommendation systems) and AI that cannot scale (coding co-pilots). 

If we were  to pause and ask, why has this fundamental problem not yet been solved? The answer is simple - In the AI revolution, the past decade has been focused on taking early steps towards proving the feasibility of AI applications and we haven’t focused on breakthroughs to ensure our AI is performant, transparent and ever reliable.

At RagaAI, we’re focused on addressing and solving this problem directly with a first of its kind AI Testing Platform. The RagaAI platform, driven by its RagaAI DNA technology, is the world’s first automated platform to detect AI issues, diagnose them and fix them on the fly. Doing this right is the need of the hour for us to unlock the full potential of the AI revolution.

Introducing RagaAI

The RagaAI Testing Platform is the world’s first automated platform to detect, diagnose and fix AI issues automatically. Key capabilities of the platform as detailed below.  

1. Comprehensive Testing - One Platform To Test It All

We all know that AI can fail in many ways and due to hundreds of problems, ranging from data quality to model training or deployment environment to name a few. This is exactly why the RagaAI Testing Platform carries 300+ tests to detect any possible AI failures. And it does not stop there, the platform helps users triage the issue down to its root cause which can be as varied as poor data labelling quality, bias in the data, poor hyperparameter optimization while training or lack of model robustness to adversarial attacks. 

The RagaAI Platform is designed to provide these insights even before AI is deployed in production systems. Once deployed, the Platform can test AI in production continuously to identify any problems, whether it is running on the edge or the cloud. 

2. Breakthrough RagaAI DNA Technology - The Key to Automation

Many of the tests we talk about above have been done by data scientists on an ad-hoc basis anyways. So what’s new? Well, first of all, executing these tests systematically and continuously is an absolute necessity to ensure AI risk mitigation. 

Second and more importantly, the automation in these tests is powered by the patent pending RagaAI DNA technology. RagaAI DNA represents vertical specific foundational models which are custom trained for testing purposes. This allows RagaAI to automatically add intelligence to the testing workflows like defining the Operational Design Domain (ODD), identify edge cases where to model performs poorly or correlate it with missing or poor quality training data. 

While the AI landscape evolves rapidly, the ability to understand AI issues and fix them automatically represents the frontier of our research efforts. The RagaAI platform ensures users are using state of the art methods to enable robust and continuous AI evaluation.

3. Easy-to-Use, Secure and Customizable Platform

The RagaAI Testing Platform is designed for data scientists - no matter the team size. This means that the platform is easy to set up, customise and integrate irrespective of how your AI stack looks. 

This principle is best reflected in RagaAI’s python client which is distributed via pip. Once installed, it is built to integrate easily with your data stack (Databases, Feature Stores, Versioning Tools), model development stack (Experiment Management, Training Infrastructure) and the deployment stack (CI/CD). The python client also allows for a fully customizable platform, one that standardises tests but accounts for unique pipelines, metrics and processes across industries and AI applications.

Also, as a firm focused on mitigating AI risk, we’ve built our platform from the ground up to be secure. RagaAI is the only AI & MLOps firm in the world that is SOC2, GDPR, CCPA, HIPPA and ISO-27001 compliant. Beyond that, the RagaAI Testing Platform is designed to be deployed on prem or on private clouds (aside from SaaS) which ensures our customer’s data never leaves their premises.  

4. A Truly Multi-Modal Platform - From GenAI to Computer Vision

Last but not least, AI applications in the world we’re living in are becoming more and more multimodal in nature (GPT-4 for example). And so, as the latest product in the market, the RagaAI Testing Platform is designed to handle all data modalities - Text, Images, Videos, Audio, Structured Data and others. This means that we not only support testing AI built on any one of the data modalities but also can detect issues in a single AI application that relies on images, text and audio simultaneously to pinpoint any existing risk and highlight steps to mitigate it. 

5. Towards Fixing AI Issues - Unlocking Impact, not only Insights 

As data scientists ourselves, we’ve been frustrated with tools and products that provide insights into a problem but leave all the heavy lifting to the human in the loop. At RagaAI, we’re bucking this trend by providing our customers actionable recommendations to fix their AI problems. For example, with RagaAI, you can remove poorly labelled datapoints in one click or retrain the model to fix issues with data and concept drift. 

The RagaAI platform brings science to the art of building and maintaining high quality AI products. This is done with RagaAI’s actionable recommendations to assess the impact of each remediation step while explicitly quantifying the associated uncertainty. 

A Product to Test AI so that Data Science teams can focus on building AI

The RagaAI Testing Platform is a unique solution that encompasses all of the key capabilities mentioned above.

This brings structure and automation to several crucial AI tasks:

• Dataset selection and evaluation for a particular use case

• Raw Data and Annotation Quality Check

• Developing Unbiased and Fair Training Datasets

• Model Performance assessment across different scenarios

• Regression testing of newly developed models

• Stress Testing of AI before deployment

• Hardware in the loop Testing

• End-to-end Application Testing and many others

The benefits from the RagaAI Testing Platform are clear - it helps data science teams focus on building the best AI products without  getting bogged down with crucial but massive infrastructure development projects. With the promise of 3x faster AI development cycle and at least 90% reduction in AI failures, we believe RagaAI will unlock the next phase of the AI revolution.