For Consumers
Problem:
Solution: With the netpeople Knowledge Assistant for Automotive, consumers can find exactly what they are looking for in a fraction of the time and in a way that is safe and efficient.
For OEM
Solution: The netpeople Knowledge Assistant highlights your commitment to advanced technology, delivering a safe and superior user experience. Netpeople makes it easy and cost-effective for you to use your product information to build and maintain your own branded assistant solution!
The new netpeople KA
Converting user manuals into
Intelligent Conversational Assistants for a
Simple, safe and fun driving experience!
What's great about theKA
Advanced AI Technology
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State of the art Automotive NLU technology to create high quality Knowledge Assistants that can answer questions more intuitively than previous versions!
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Higher quality Q&A Generation than the standard state-of-the-art models such as BERT, GPT-2, and others
10x more knowledge in 1/10th the time
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Ability to automatically convert a full Automotive manual into thousands of Q&A
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Creating and maintaining assistant content is Quick and Easy!
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Compared to traditional knowledge creation approaches, it showed that 10 times more Q&A knowledge can be created with one tenth the production time.
Deep User Behaviour Analytics
We've upgraded our Analytics services for real-time tracking of user interactions and quality of Assistant responses!
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Better understand user behaviour and the issues they may have
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Ensure that your Knowledge Assistant can be updated quickly and efficiently
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Build a seamless user experience around your vehicle that your customers will love!
Automotive
Integration with car data
Automotive specific NLU
Included trained automotive manuals
Q&A dataset for Automotive
What's New
What Our Users Say
90% of users said that a Knowledge Assistant made them feel more knowledgable about vehicle functions.
70% of users said they would feel safer with a Knowledge Assistant implemented in their vehicle.
The Knowledge Assistant sucessfully answered user queries 92% of the time.
90% of users said that a Knowledge Assistant made them feel more knowledgable about vehicle functions.
Human Systems Lab | University of Windsor hslab.org
What OEMs Say
Major OEM
The netpeople Knowledge Assistant had higher knowledge of user manuals, higher quality of responses, and the automation was much better when compared to their current process (built by a leading Automotive Tech brand)
Major OEM
iNAGO's netpeople had a high accuracy in Q&A, a reduction of effort for additional new manuals, and a highly automated process!
* Goal is Rank of 1 equating to correct answer.
* BERT NOT tuned with iNAGO Automotive corpus
* Hybrid will be in future netpeople version
The netpeople Automotive NLU system answers user questions more accurately and intuitively.
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35% more accurate than BERT
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Independent University Study showed successfully answered driver queries 92% of the time
Major European OEM study showed “significantly higher accuracy than their current solution”
How We Compare to
State-Of-The-Art NLU / Search Systems
netpeople Q&A Generator generates Q&A at an accuracy higher than state of the art models.
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31% higher than T5 with the Squad dataset
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12% higher than custom tuned GPT2 model.
How We Compare to State-Of-The-Art Automotive Q&A Generation
Don’t just believe us, now, you can try it for yourself!
Introducing our New Knowledge Assistant:
mia for Tesla!
An AI Assistant for the
Tesla Model 3
mia for Tesla was built especially for the Tesla Model 3.
mia knows a lot about the Tesla Model 3. In fact, she knows everything from the Owner's Manual, and she's learning more every day!
Special Thanks to our
Academic Partners!
Dr. Aijun An
Academic Partner
Professor, York University
Dept. of Computer Science
Expertise in data mining, machine learning, information retrieval, and artificial intelligence
Dr. Gerald Penn
Academic Partner
Associate Chair, University of Toronto
Dept. of Computer Science
Expertise in NLP, Mathematical Linguistics,
Speech Summarization, Linguistic Visualization, Language parsing,…
Dr. Scot Sanner
Academic Partner
Assistant Professor, University of Toronto
Dept. of Industrial Engineering
Expertise in Recommender systems, Information Retrieval,
Applied Machine Learning