It’s really hard to close a sale. That’s why more than 50% of sales reps miss their quotas, according to Forbes. The problem is traditional sales training is inadequate - in fact, a survey by Training Industry showed that one in four sales reps believes their training is ineffective.
Traditional training just can’t provide what sales reps actually need: real-time, personalized, on-the-call coaching.
What if you knew exactly what your prospects and customers were feeling? What if every member of your team could read the emotional and conversational cues of the client like a book? That’s why we built ChipBrain.
Effective communicators close more deals. Our emotionally intelligent AI assistant supports sales professionals by providing real-time feedback on the emotional response of the client to their messaging, pinpointing key turning points in the conversation when they were particularly effective or ineffective. Over time, our adaptive intelligence platform allows us to deliver tailored recommendations specific to the client, the company, and the representative.
We believe that artificial intelligence can teach people to be more emotionally intelligent, more persuasive, and ultimately more effective in conversation and negotiation. We imagine a world in which our AI can help any human in any company - in any market - sell anything.
ChipBrain empowers sales teams to become better communicators. Our technology enables users to:
- Receive real-time emotional analysis and forecasting
- Identify key turning points in conversations
- Predict the likelihood of success throughout the conversation
- Improve soft skills communications training
- Easily view customer insights
- Get personalized feedback
Our product combines supervised and unsupervised machine learning techniques to provide real-time emotion, tone, and facial expression feedback in live conversations across all modalities of digital communication: text, voice, and video - taking the guesswork out of identifying conversational cues, and enabling sales professionals to see at a glance how they are coming across to customers. Our AI assistant also leverages information about the unique strengths and weaknesses of the individual salesperson to make suggestions about what to say, when to say it, and how to say it in order to close a deal.
In addition to providing live support during customer calls, our product supplies performance reports for each salesperson, including comparisons of their performance to optimal benchmarks set by learning from top performers and specific examples of their previous text, speech, or expressions that led to customer conversion.
ChipBrain’s product comes at a time when more sales teams are going virtual and embracing AI in an already robust sales software market. In fact, MarketsandMarkets Research predicts that the $1.1 billion sales enablement software market will grow at an almost 20% CAGR over the next four years. At the same time, McKinsey estimates that AI technology could generate an additional $2.6 trillion in revenues.
Meanwhile, the use of digital communication in sales has steadily increased, according to Salesforce, with 60% of sales reps reporting that they’ve increased the amount of time spent virtually connecting with customers.
AI is also the top growth area for sales teams, and Salesforce predicts that AI adoption will grow 139% over the next three years.
ChipBrain is a B2B software-as-a-service (SaaS) company. The company distributes its product as a standalone product and as an add-on to existing CRMs via key partnerships.
Revenues are generated through the following avenues:
- Negotiating custom contracts with new customers
- Self-serve subscription model
While entire industries are being transformed by artificial intelligence, the sales profession—which largely relies on intuition, personality, and generalized best practices—remains insulated. ChipBrain’s team is prepared and well-equipped to integrate AI into the sales industry.
ChipBrain is led by MIT, Harvard and London School of Economics graduates, highly experienced in artificial intelligence, software engineering, and sales management.
Lisa Vo holds a bachelor’s degree in Computer Science from Harvard University, with software engineering experience from Microsoft and Palantir Technologies. She created and led a new computer science course while at Harvard, co-founded and led engineering at Bluebonnet Data--a national tech nonprofit with over 200 technical volunteers, and brought to market a political tech startup as co-founder and CTO. Lisa is a first-generation immigrant from Vietnam.
Curtis Northcutt was born and raised in a rural area between Lexington and Athens, Kentucky. His father, grandfather, and great-grandfather worked as mailmen and his mother worked minimum-wage jobs. After graduating valedictorian of Vanderbilt's College of Engineering in 2013, Curtis attended MIT, where he created a cheating detection system used by MITx and HarvardX MicroMasters courses and was awarded the MIT Masters Thesis Award (2017). His PhD at MIT (2017-2021) focuses on AI algorithms to augment human intelligence. Curtis invented confident learning and the Python package 'cleanlab' for weak supervision and finding label errors in datasets. He has a decade of experience in AI and industry, including work with research groups at Google, Oculus, Facebook AI Research, Amazon, Microsoft Research, NASA, MIT, and Harvard, as well as prior startup experience as Chief AI Scientist with Knowledge AI.
John Fanning is the former CEO and founding chairman of Napster, with over 30 years of experience leading and investing in top technology companies. He has introduced such internet innovations as client-server gameplay, voice over IP, and auto-upgrading and authentication. He has founded numerous successful ventures, including NetGames and NetMovies.
John graduated from MIT with both bachelor's and master's degrees in Computer Science, with a strong concentration in Artificial Intelligence. He has worked on various research projects within MIT's department of Physics; his master's thesis involved using machine learning techniques to infer the characteristics of point source populations in the X-ray sky. John taught the introductory machine learning course at MIT for multiple semesters, and spent the summer of 2020 sharing his passion for AI by teaching high schoolers from around the world as an instructor for the Inspirit AI Scholars program. Additionally, he has spent a significant amount of time in industry within the Amazon Alexa AI organization.
Harry Rein is a full stack software engineer who specializes in front end technologies and interaction design. He graduated with a bachelor's in Computer Science from MIT in 2015 and a master's in Computer Science with a focus in Human-Computer Interaction in 2016, also from MIT. He has architected multiple websites and mobile apps from the ground up and helps design and implement the UX for ChipBrain’s consumer facing web and mobile applications.
Harrison was born and raised in the heart of Manhattan in New York City. He attended MIT where he earned a Bachelor’s degree in Computer Science in 2017 and a Master’s degree in Computer Science with a focus on Computer Graphics in 2019. Harrison previously worked as a full-stack engineer at Appboy (now Braze), DoorDash, and Qume, a cryptocurrency exchange. His recent efforts have been primarily centered around the field of computational design and manufacturing, including the development of data-driven algorithms to improve the digital fabrication process and 3D printing.
Ken has experience building visualization systems for large datasets at Visa, consumer mobile products at Nasdaq and Google, and causal inference analytics tools at Microsoft Research, IBM Watson, and MIT CSAIL. He graduated from MIT with a B.S. in Computer Science and a B.S. in Mathematical Economics.
With over thirty years experience in sales and sales training, Pat Cahill is a Managing Director at the MAC Venture Group. His primary focus is training and developing sales teams, implementing appropriate managerial tools to track and monitor progress, and instilling the discipline necessary to create a scalable and successful sales and marketing program. Previously, he was the Senior Vice President of Sales and Marketing at IntelliSpace, where he took the company from startup phase to an annual revenue of $66M. He also led Sales and New Business Development for seven years at Don Aux Associates. Pat holds an MBA from the London School of Economics.
Use of Proceeds
If the offering's maximum amount of $248,845 is raised:
|Use||Value||% of Proceeds|
|Engineering & Development||$141,991||57.1%|
This is an offering of Common Units, under registration exemption 4(a)(6), in ChipBrain LLC. This offering must raise at least $10,000 by October 26, 2020 at 11:59pm ET. If this offering doesn’t reach its target, then your money will be refunded. ChipBrain may issue additional securities to raise up to $248,845, the offering’s maximum.
If the offering is successful at raising the maximum amount, then the company’s implied valuation after the offering (sometimes called its post-money valuation) will be:
This offering is being conducted on an expedited basis due to circumstances relating to COVID-19 and pursuant to the SEC’s temporary COVID-19 regulatory relief set out in Regulation Crowdfunding §227.201(z).
In reliance on this relief, financial information certified by the principal executive officer of the issuer has been provided instead of financial statements reviewed by a public accountant that is independent of the issuer, in setting the offering maximum of $250,000.
The Offering Statement is a formal description of the company and this transaction. It’s filed with the SEC to comply with the requirements of exemption 4(a)(6) of the Securities Act of 1933.
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