Train Your Bot on 1000’s of Pages in Minutes

Sounds impossible, right? Its not. All you have to do is connect our platform with your knowledge base and let our NLP models intelligently generate questions, understand intent, extract answers and Voila! Your FAQ bot is ready.

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50K+

Answers extracted

<5

Minutes to launch the bot

20%

Additional queries served

Precise & relevant search from thousands of
knowledge sources

Use power of AI to point your users to the exact sentence in your documents

Our cognitive search algorithm uses ML models like BERT & Transformer to ensure that search results are always precise & contextual to your user’s query

Enable business users to curate thousands of auto-generated FAQs

Automatically generated questions save you hundreds of hours of FAQ creation effort. Your business users can curate these FAQs right from the platform before training the bot

Cut across silos with a contextual search interface

Be it your website, support portal or internal knowledge, the Insights Interface helps users find information from across departments & repositories, all in a single place, based on the context of their query

Deploy with 20+ knowledge sources in a matter of minutes

It’s no-code, quick and simple to deploy. Just connect your knowledge base & we take care of syncing & auto-indexing your documents as they change.

Take control to boost the quality and
relevance of your searches

Active-learning through in-widget user feedback

Our document viewer allows users to give quick & easy feedback on the results shown which is then put to work to improve your search results better through self learning

Use labelling studio to test & train the model

Enable your business teams to curate results and give direct feedback to the model for improved search accuracy & better control

Get detailed insights on query topics & document quality

See what kind of queries your users are asking, what is their satisfaction level and the documents or topics that need your team’s attention

Add your organisation’s taxonomy for more relevant results

Every organisation and industry has a specific terminology. You can add synonyms and stop words related to your industry to improve the model further

Try our native knowledge base connectors for
faster deployment

Google drive

Conflunece

Amazon cloud services

Microsoft Sharepoint

Service now

How is document cognition better?

Natural Language Processing (NLP)

Gone are the days of keyword-based search. Document cognition uses transformer learning & neural networks to ensure that the results are always contextual & relevant.

Active Learning & feedback loop

Document search is complex to optimise because of the huge search space. Our model uses feedback on previous suggestions offered to improve the Mean Reciprocal Rank (MRR), thereby improving results with time.

Optical Character Recognition (OCR)

The engine can go beyond textual data to also index images & tables with Optical character recognition (OCR). This ensures we can read docuemnts with complex structures as well.