ChatAible

Main Features

ChatAible leverages a well-proven explainable AI to automatically ask millions of questions of the data, finds the key insights, and uses Generative AI to summarize and double-check the key insights in a way a business executive could easily consume.

Core Advantages & Features

1. Finds Top Insights Automatically: Leveraging Aible’s augmented data engineering and analytics capabilities, ChatAible uses an AI-first approach to ask millions of questions and prioritizes the best answers.
2. Brings Enterprise Context Securely: Generative AI on its own lacks enterprise context. ChatAible leverages prompt augmentation to pass curated metadata to the Generative AI and generates insights based on the enterprise context. Aible does not send raw data to the Generative AI, and because Aible has already asked all of the possible questions of the raw data, it knows exactly the right amount of context to provide to the Generative AI given the constraints of prompt length. Aible restricts the Generative AI to speak business language by default.
3. Validates and Augments Summary: Generative AI ‘hallucinates’ or makes up facts over 20% of the time. ChatAible automatically double-checks the responses of the Generative AI using an explainable AI that confirms the generated summary against the raw data and metadata. ChatAible can even auto generate dashboards in popular analytics applications and embed the ChatAible experience in them.
4. Easy Triple-Check: ChatAible makes it easier for users to triple-check the system by simply tooltipping over the generated text and seeing the corresponding charts based on the underlying data (If it's blue, it's true).
5. Incredibly Low Compute Cost: In the time and cost it takes for a user to manually ask a handful of questions, Aible can ask a million questions and prioritize the answers. A joint Fortune 500 customer with Google Cloud evaluated 75 datasets with 100 million+ rows, prioritizing and saving patterns for 150 million+ variable combinations, for only $80 in total compute cost. Cisco analyzed a 164 million row, 120 column dataset across 4.6 Million variable combinations with just one click in under 5 minutes and for a total compute cost of $15.
6. Protects Enterprise Data: Aible never transmits raw data to Generative AI - only anonymized metadata. ChatAible enforces k-anonymity so that an individual's data never leaves the enterprise. From a data residency perspective, analysis is conducted where the data already is, in the customer’s own Virtual Private Cloud.

Typical Use Cases & Workflow

Workflow:

• Step 1: ChatAible finds the top insights by asking millions of questions on your behalf.
• Step 2: Brings enterprise context to the Generative AI, Securely.
• Step 3: Validates and augments the summary from the Generative AI.

Typical Use Cases: Sales, Logistics Optimization, Customer Retention, Marketing Optimization, Collections, Customer Experience, Health Analytics. Industries: CPG Manufacturing, Healthcare, Education, Software / Technology, Food and Beverage, Construction, Distribution, Retail, Legal, Transportation.

Target Users

For business executives, IT departments, and business teams. Major customers like UnitedHealthcare, Cisco, and NYC Health+Hospitals have used Aible. The customer advisory board for ChatAible includes three Fortune 100 companies.

Pricing Information

The page offers a free trial (Try ChatAible for Free), while specific paid plans require contacting for pricing. Users can get started with sample datasets to try the experience and confirm what metadata is shared with the generative AI, adjusting user experience and data security settings.