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Nishit Asnani

Co-founder at Sybill

Nishit Asnani is a prominent figure in the tech industry, serving as the Co-founder of Sybill.ai, an innovative AI-powered platform designed to enhance B2B sales and customer interactions. His professional journey is marked by a strong foundation in artificial intelligence and product management, transitioning from a developer role to his current leadership position.

Background and Education

Nishit holds a Bachelor of Technology (B.Tech.) in Computer Science from the Indian Institute of Technology, Kanpur, where he conducted research in Natural Language Understanding and Generation. He furthered his education with a Master of Science in Computer Science at Stanford University, specializing in Artificial Intelligence. During his time at Stanford, he worked on various AI applications, including healthcare research and psychology.34

Career Highlights

Before co-founding Sybill in 2020, Nishit gained significant experience in various roles:

  • Machine Learning Engineer and Product Manager at Moveworks, where he contributed to developing customer-facing solutions.
  • Graduate Student Researcher at the Stanford Artificial Intelligence Laboratory, focusing on deep learning models for medical diagnostics.
  • He also served as a Teaching Assistant at Stanford, helping to run courses related to natural language processing.34

Sybill.ai

At Sybill, Nishit and his team have developed an AI assistant that automates tedious tasks for sales professionals, such as generating call summaries and managing CRM updates. The platform aims to empower sales teams by reducing administrative burdens, allowing them to focus more on closing deals. Under his leadership, Sybill has successfully raised $14.5 million in funding to expand its capabilities and market reach.25

Nishit's vision for Sybill emphasizes leveraging AI not just as a tool but as a means to enhance human capabilities in sales. He believes that by automating routine tasks, sales professionals can better engage with customers and improve their performance.15

In summary, Nishit Asnani is an influential entrepreneur whose work at Sybill represents a significant advancement in the integration of AI within the B2B sales landscape.

Highlights

Jul 31 · morningstar.com
Sybill secures US$11M to accelerate B2B sales with AI-powered ...
Jul 31 · twitter

🚀 Big news! Sybill raised $11M in Series A funding, led by @greycroftvc , with participation from @neotribevc, Powerhouse VC, and Uncorrelated VC.

We're building a personal assistant for every sales rep.

The market is getting heated, and for good reason...

1/10

Jul 30 · forbes.com
How Sybill Uses AI To Give Sales Reps More Time To Spend On ...
How Sybill Uses AI To Give Sales Reps More Time To Spend On ...
Jun 26 · youtube.com
Mastering B2B Sales with Sybill: The Most Accurate AI Sales Assistant
Mastering B2B Sales with Sybill: The Most Accurate AI Sales Assistant
Jun 28 · youtube.com
Sybill CoFounder Nishit Asnani On Leveraging Artificial Intelligence
Sybill CoFounder Nishit Asnani On Leveraging Artificial Intelligence
Apr 1 · NPR
Black-Box Algorithms: Ready For Medical Use? : Shots - Health News - NPR
How Can Doctors Be Sure A Self-Taught Computer Is Making The Right Diagnosis? - KUOW News and Information

Related Questions

What inspired Nishit Asnani to transition from technical roles to product management?
How did Nishit Asnani's background influence the development of Sybill?
What are some key challenges Nishit Asnani faced while launching Sybill?
How does Sybill's AI assistant differ from other B2B sales tools?
What niche markets has Sybill specifically targeted with its AI solutions?
Nishit Asnani
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Experience

Co-founder at Sybill (September 2020 - Present), San Francisco Bay Area
Member at HYPCCCYCL (October 2021 - Present), Teaching Assistant at Stanford University (April 2020 - June 2020), Product Manager at Moveworks (September 2019 - December 2019), Machine Learning Engineer at Moveworks (June 2019 - September 2019), Co-founder at Wordsmith (October 2018 - June 2019), Graduate Student Researcher at Stanford Artificial Intelligence Laboratory (September 2018 - March 2019), Instructor at IIT Kanpur (May 2018 - June 2018), Software Engineering Intern at Google (May 2017 - July 2017), Machine Learning/NLP Intern at Stride.ai Inc (December 2016), Machine Learning Intern at New York Office, IIT Kanpur (May 2016 - December 2016)

Education

Master of Science - MS, Computer Science at Stanford University (2018 - 2020), Bachelor of Technology (B.Tech.), Computer Science at Indian Institute of Technology, Kanpur (2014 - 2018), Campion School (2000 - 2014)

Location

San Francisco Bay Area