David Anderson is the founding partner of Beat Ventures, an early-stage venture fund that invests in startups reshaping the future of work. Prior to this, he was an investor at Toyota Ventures, and the co-founder of Bamboo, Detroit’s first co-working space for entrepreneurs. He holds an MB...read more
Available tomorrow
Chris is an expert in taking startup ideas from zero to one and in turning around underperforming corporate innovation teams. He has built product portfolios and SaaS platforms generating $750M ARR across disparate industries and technologies including AI/ML in Health Care, NLP, IoT and vi...read more
Available tomorrow
Liz Tsai is the founder and CEO of HiOperator, a customer service-as-a-service solution company that allows businesses to handle client customer service tickets faster and more accurately through AI, backed by Y Combinator, 43North and HearstLab. Liz spent several years working in the phys...read more
Available tomorrow
Colin Rogister is the founding partner of Beat Ventures, an early-stage venture fund that invests in startups reshaping the future of work. Prior to Beat Ventures, Colin was an investor at Maven Ventures and served as a technology advisor in the Obama White House’s National Economic Counci...read more
Available on Thursday
Praful Mathur is the founder and CEO of Sarama, a deeptech startup that uses AI to determine intent from barks i.e. crude translation. He was previously the co-founder and CEO of Shotput, a Y Combinator-backed startup that built APIs for instant logistics. He raised capital from Nexus Ven...read more
Available on Friday
Roy Chung is the co-founder and former COO of Apollo.io, a $1.6B unicorn sales automation startup backed by Sequoia Capital, Y Combinator, and Bain Capital, among others. Roy is also a General Partner at JoyFund and LP in multiple VC funds like Pioneer, GTM, and LionHeart. Before founding ...read more
Available tomorrow
Amit Garg's career in technology spans over 20+ years in Silicon Valley. As a venture capitalist he has focused on seed-stage applied AI investments in digital health, automation and enterprises. Some of his key successes are nuTonomy (seed, sold for $450M) at Samsung NEXT Ventures and Mis...read more
Available on October 13
Mahsa Rostami is the founder and CEO of Revero, a digital health startup backed by a16z and Goodwater Capital. Her personal health transformation inspired her to found Revero. Prior to founding Revero, Mahsa worked as an AI engineer in Silicon Valley, specializing in the development of AI ...read more
Available on November 2
Carl Carell is the Co-founder and CRO of GetAccept, an all-in-one digital sales room platform helps salespeople win more B2B deals. GetAccept has raised more than $30M in venture funding from Bessemer Venture Partners, Y Combinator, Amino Capital and DN Capital. Carl has co-founded several...read more
Available tomorrow
The steps required to build an AI startup are similar to the steps required to develop any kind of startup:
Start by conducting thorough market research to identify specific pain points that you could solve using AI technology. You can validate demand for your AI solution by surveying potential users and analyzing competitors in your startup’s market space. You can also seek feedback from mentors, AI startup advisors, industry experts, and online AI communities to help you refine your idea.
Form a multidisciplinary founding team consisting of AI experts, data scientists, and domain specialists. Collaborating with individuals who understand the industry you're targeting will help you achieve a more comprehensive understanding of the problem your solution aims to solve.
It’s important to develop a functional prototype that showcases your solution’s core AI-based capabilities. You can use real or simulated data to demonstrate how your AI product or service will address the target problem. Then, iterate on your AI prototype based on user feedback and continue to enhance.
Next, you’ll need to develop a targeted marketing strategy to attract customers for your AI product or service. Emphasize the unique value proposition of your AI solution and its potential impact on users lives or businesses. Engage with industry influencers, attend relevant conferences, and participate in AI-focused events to raise awareness and generate interest. You can also leverage case studies from early adopters to build credibility.
AI startups typically require significant resources — though costs are trending lower than they were at the outset of the AI startup boom. To secure adequate funding for your AI startup, seek out investors who are familiar with AI technologies or venture capital firms that are known to focus on AI startups. When you pitch your AI solution, be sure to highlight its competitive advantages and present a roadmap for effective market penetration. Since AI is currently such a popular field, competition is fierce, and you’ll need to go above and beyond to make your startup stand out to investors. One way to achieve this early differentiation and generate buzz among investors is to create a waiting list to show demand for your AI product.
While AI presents a great deal of emerging potential, building a successful AI startup can be immensely challenging. Market demand, competition, technological complexity, and execution strategy all play crucial parts in the success of an AI startup.
Some well-known generative AI startups like OpenAI have already achieved remarkable success with products like ChatGPT, while other well-established organizations like Google have thrown their hats in the ring with AI offerings like Google Bard. These emerging AI innovations have exploded in popularity practically overnight, and are already turning numerous industries on their heads.
So far, founders from diverse professional backgrounds have found success with AI solutions in a wide variety of industries, including AI healthcare startups and legal AI startups. However, the AI startup landscape is also plagued by a high failure rate — even more so than other startup landscapes — as many burgeoning AI companies face steep hurdles in critical areas like technology implementation, market adoption, and scalability. Recent surveys estimate the failure rate of AI startups to be as high as 80 - 90%.
Having a mentor can significantly accelerate your learning curve as you develop both your AI product and your company. A mentor with experience in AI or AI-related disciplines can act as a valuable sounding board for your AI startup ideas, and their guidance can help you make more informed business decisions.
Mentorship from someone who knows what’s required for success in the AI startup market is one of the most valuable assets for new founders. Through Mentorcam, you can find an AI mentor for your startup who will help you position your startup to make a major impact on this rapidly evolving and highly competitive industry.