Antinuous

Origins

In enterprise sales, there are four bottlenecks: Pipeline generation: how can I do effective outreach to more people. Execution: how can I boost deal win rate. Internal: how can I make CPQ, deal-desk, approvals, and negotiations fast. Post-sale: how can I get new customers onboarded smoothly and quickly to avoid clawback. We were working on execution first, because we solved that internally at Mintlify using an in-house revenue agent. However, after we started tackling pipeline generation, we realized that pipeline generation tools make great primitives for all research. To build pipeline, you essentially need to create tables of people and companies that you want to sell into. What if you want to do deeper research? Learn the industry that your pipeline is built on, map vertical bottlenecks to your solution, go deep on each person to see how they relate to you? Now, you’re going the extra mile to partner on a solution to a business problem with each client, not just features. But what if you expand this past sales? What if you’re in manufacturing and want to map supply chain bottlenecks to do better capacity planning? What if you’re in finance and want to see what data-center construction is doing to grid prices in Texas and Louisiana? What if you’re in R&D at a biotech and want to run virtual simulations overnight without hooking it up to your lab equipment. This tool that we built for a niche use case of account research and pipeline generation turns out to be the perfect primitive for all research. As much of a meme Excel has become over decades, it’s an app that runs much of the world. What if we built tools for agents to be able to use sheets just as efficiently as humans: build datasets, jot down notes, log results, correlate trends, have an intuitive way to give humans info they can digest. And use a swarm of persistent agents in the background to do work autonomously for any hard problem that gets thrown its way. We quickly went from asking how good can we make sales outreach more effective to asking how many people can we reach who have a question they can’t answer because they don’t have the tools or knowhow. We’re building the tools to give agents the ability to test any theory and humans the power to answer hard questions.