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Active.ai (i2tutorials)

Active.ai

1. Category : Artificial Intelligence, Financial Services, FinTech, Information Technology

2. Domain : Artificial Intelligence

3. Founders : Parikshit Paspulati, Ravi Shankar, Shankar Narayanan

4. Established : Feb 16, 2016

5. Number of Employees : 51-100

6. Operating Status : Active

7. Funding status : Not disclosed

8. Website : active.ai

9. Country : Central Region, Singapore

10. Latest in News: Conversational AI platform provider to showcase its app, One, by Active.Ai, at Finastra Universe New York

Active.ai is an Artificial Intelligence platform that can be easily deployed for financial institutions, insurance companies and capital markets. Built from the ground up to specifically meet the needs of financial institutions, insurance companies, and capital markets, utilizing Machine Learning, Natural Language Processing, and Natural Language Generation.

Active.ai pre-process unit Corrects misspelled words based on the user’s input. Knows not to correct names, nicknames, etc. Expand and normalizes acronyms like “acc” to account, “xfer” to transfer and able to standardize forms like “CreditCard” to Credit Card. Advanced algorithm to convert “Yesterday”, “1st Sunday of next month”, “last 4 weeks”, etc to standardized data formats. It Convert numbers expressed in words like “five hundred and twenty thousand” into numerical form 520000.

Active.ai process conversation and context can detect up to two instructions in a sentence and separate them to inherit required entities. It detects if the user’s utterance is in the context of the current conversation. It also detects implied cancellations, confirmations and negation requests and able to detect if the user’s current input is positive, neutral or negative.

Active.ai classifies and extracts fragment detection by detecting options when the user’s input is a fragment and is not expandable and Auto Calibrating Classifier that is tolerant of differences in instances of training data across intents.

fragment detection by detecting options when the user’s input is a fragment and is not expandable and Auto Calibrating Classifier that is tolerant of differences in instances of training data across intents.

Active.ai easily understands the response type (“Numeric”) that the user is expecting and its grain (“Count”) and helps bots respond with a more precise answer than giving a generic response.

At the same time it responds to most commonly-used ‘small-talk’ or ‘chit-chat’ that users have with bots and guide the user with related queries or transactions when the user’s input is not clear.

Products of Active.Ai are Morfeus and Triniti

  • Morfeus is Active Ai’s middleware engine that runs as the Java app on a typical web server. It provides a web interface for configuration and management, connecting front-end channels that help banks to engage with their customers over unstructured micro-conversations via mobile, chat or voice-enabled IOT devices using artificial intelligence.
  • Triniti is an AI engine composed of natural language processing and natural language generation elements enabling financial institutions to connect with customers in a natural format over messaging, voice and IOT devices.

It is also designed for banks to automate certain functions including transactions and customer service between customers and other banks and chatbots are able to save banks time, allowing human employees to focus on higher-level tasks, money and manpower by engaging customers to try and solve their queries.

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