Triniti

APIs forConversational AI

Build simple secure natural conversational experience for Mobile, Web and IOT.

Active Intelligence Workflow
Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot Active.Ai Chat Bot

Powerful Deep AI Stack

Built for Developers

Triniti APIs empowers financial institutions with cutting-edge capabilities to offer their customers a natural, personalised, intelligent and low-cost channel of engagement via voice and text.

Triniti’s state-of-the-art AI algorithms enables it to identify and understand intent, interpret discourse and reactions, extract entities and recognize values, analyse sentiments and emotions in conversations and much more, transforming access to financial services to be more natural, seamless and invisible.

Built for Fintech Developers

The All-in-One Enterprise grade AI Engine that thinks for you.

Our ability to craft intelligent micro conversations is due to the fact that we tuned our AI engine specifically for banking and finance and pre-trained relevant ontology that is build with preprocessor, NLP, NLU, NLG and Machine Comprehension in mind.

Pre-Process Input

Context Sensitive Spelling Correction & Acronym Expansion

Context Sensitive Spelling Correction & Acronym Expansion

Corrects misspelt words based on user’s input. Knows not to correct names, nicknames etc. Expand and normalises acronyms like “acc” to account, “xfer” to transfer. Able to standardise forms like “CreditCard” to Credit Card.

Temporal Entity Processor

Temporal Entity Processor

Advanced algorithm to convert “Yesterday”, “1st Sunday of next month”, “last 4 weeks”, etc to standardised date formats.

Number Processor

Number Processor

Convert numbers expressed in words like “five hundred and twenty thousand” into numerical form 520000.

Process Conversation & Context

Query Splitter

Query Splitter

Can detect up to two instructions in a sentence and separate them to inherit required entities. For example, “Pay 500 to Jack and Jill” becomes “pay 500 to Jack” and “pay 500 to Jill”.

Context Detection

Context Detection

Detects if the user’s utterance is in context of the current conversation. Also detects implied cancellations, confirmations and negation requests.

Sentiment & Profanity Detection

Sentiment & Profanity Detection

Able to detect if the user’s current input is positive, neutral or negative. Detects if the user is being abusive and able to respond appropriately.

Classify & Extract

Fragment Detection

Fragment Detection

Detects and provides options when user’s input is a fragment and is not expandable. For example, “Show..” could mean “show balance, show due bills, show transactions”.

Intent Classification

Intent Classification

Auto Calibrating Classifier that is tolerant to differences in instances of training data across intents, able to differentiate between FAQ and non-FAQ intelligently and detect adversity.

Entity & Modifier Extraction

Entity & Modifier Extraction

Highly Trainable with trainable entity linking and Auto Calibrating features. Able to extract entities with high precision and confidence. Extracts and links Modifiers like "from" and “to” to related entities. Able to extract modifiers that modify the complete intent, such as “minimum” in “Minimum Balance”.

Understand

Response Type and Grain Detection

Response Type and Grain Detection

Provides the response type (“Numeric”) that the user is expecting and its grain (“Count”). It helps bots respond with more precise answer than giving generic response.

Tense Detection

Tense Detection

Detects if the sentence is in past tense or not, in order to help bots interpret the request correctly. For example, “How many EMIs have I paid” vs “How many EMIs do I have to pay”.

Sentence Parsing

Sentence Parsing

Extracts relationship between entities thus enabling bots to handle much more complex requests with multiple entities, constraints, and more.

Respond

Smalltalk

Smalltalk

Responds to most commonly-used ‘small-talk’ or ‘chit-chat’ that users have with bots.

Search Knowledge Base

Search Knowledge Base

Trained with a large corpus of Q&As with variants, providing direct responses to general product/process related queries from the user.

Suggest Related

Suggest Related

Guide the user with related queries or transactions when user’s input is not clear, or whenever appropriate, to enhance user’s experience.

Triniti Demonstration

Why Triniti

Designed and Trained for Financial Conversations

Triniti is designed and built ground up to deliver conversational AI for the financial domain.

Pre-Trained Financial Domain Models Conversational AI Cutting Edge Algorithms Banking-grade security and compliance

Ready to Craft Intelligent Microconversations

Request a Demo

Contact Us






Request a Demo