Victoria

Today we're launching the the first ever GTM AI Platform. Before we started copy.ai in 2020, my cofounder @chris__lu and I were helping our founder friends grow their early stage startups. We quickly realized that great products and engineering did not automatically lead to sales. Founders had to "figure out" marketing and sales. Some would hire people and buy sales and marketing tools to try to solve the growth problem, but most of the time those investments didn't pay off and the companies would fail. Investors did not want to invest in companies with low sales efficiency and low growth rates. We also noted that the same "world-class" tooling startups we were investing in as VCs were not delivering the promised ROI. These tools required users to spend time manually operating the tool, making decisions and moving data from one tool to another. Their own case studies did not factor in the cost of the user's time into a Total Cost of Ownership. The end result was that sales professionals currently spend just 20% of their time with customers and the other 80% on administrative tasks. And that's according to Salesforce's own report. We were trying to figure out how you might be able to just copy and paste entire business processes that are world-class right into your company. We considered consulting approaches, Web3 approaches, bounty programs and then we saw the power of generative ai emerge with the release of insane early GPT-3 demos here on Twitter. Shoutout @sharifshameem and @jsngr! We launched some of the earliest GPT-3 applications here but overall the first wave of generative ai use cases were still tool specific, where you had to use the tool to get value from it, think chat interfaces. These products help unblock us while we work but the tasks we're doing still don't allow us to scale. In order to scale that value while we sleep, we need the ai systems to have more context about its use cases and also be data centric end-to-end. This has only become possible in the past few months given advancements in large language models. Being ahead of the curve has allowed us to learn and understand the deep pain points of go-to-market teams and connect them with use cases that solve their problems directly without needing their team to spend hours of their days working inside of different tools. What's crazy about this ai wave, is that its not just early stage startups who are the early adopters but instead, large Fortune 1000 organizations. The reason is they feel the GTM bloat problem the most. In the past few months we've closed platform sales to over a dozen public companies and the feedback we're hearing from our customers is all the same, "how can we consolidate and replace all of these different tools so that our teams can spend more time with customers?" There are bundling moments, and there are unbundling moments. This is a bundling moment led by a platform shift, caused by long term secular trends around ai adoption that's driving the market overall. AI is going to be taking over manual task based workloads and moving them to platforms that are data driven end-to-end and can drive fundamentally better GTM unit economics, greater sales capacity, ultimately leading to real GTM velocity and efficient company growth. We're excited for the opportunity to help customers transition to AI native go-to-market operations and we're launching a newly reimagined website today at copy.ai