As voice agents and photorealistic avatars move into enterprise software, the sales call is becoming a test case for whether AI can do more than summarize a conversation after it ends. The pressure point is familiar to anyone who has sat through a software demo: a buyer asks about a security review, integration edge case, migration plan, or competitive tradeoff, and the answer often belongs to a sales engineer who is on another call. 1mind is one company working on that shift. The San Francisco startup builds AI sales agents it calls Superhumans for web, product, email, and live sales conversations. Its Ride-Along product pushes the idea into the most sensitive part of the sales process: a named AI participant that can join a live call and answer the buyer directly.
The first generation of sales automation made sense for the web form era. Capture the visitor. Qualify the account. Book the meeting. Push the lead into a CRM. Give the sales team a cleaner queue.
That helped sellers organize demand, but it did not remove the buyer’s friction. In many cases, it just made the handoff look smoother from the company’s side. A prospect explains the problem to a chatbot, then again to an SDR, then again to an account executive, then waits for a sales engineer when the conversation becomes technical. The company sees process. The buyer feels repetition.
1mind calls this pattern the Handoff Tax. Whatever the label, the underlying friction is one researchers of B2B buying have documented for years: when information does not move cleanly between the people a buyer is handed to, the buyer notices the seams. A delay at the wrong moment can cost momentum, though how much varies widely by deal and is hard to generalize.
The underlying issue is less about the amount of sales software than about what it was designed to do. Much of it was built to help the seller manage the buyer rather than to help the buyer get what they came for. That contrast is visible across consumer technology, where people have grown used to getting an answer, a configuration, or a purchase path in the moment. B2B software still often asks the buyer to wait for the next available human.
The most consequential version of the handoff happens after the buyer has already shown real intent. The meeting is on the calendar. The account executive has context. The buyer is
engaged enough to ask a hard question about security, implementation, integration, compliance, migration, or competitive fit.
Then the rep hits the boundary of their expertise.
A good rep knows not to bluff. The standard answer is familiar: the rep promises to follow up after the call. It is responsible, but it also changes the temperature of the deal. The buyer arrived ready to decide or at least narrow the field. Now the answer moves to another calendar slot, another email thread, another call with a specialist who was unavailable at the moment of need.
There is a structural reason this recurs. Technical depth tends to be unevenly distributed inside sales teams because it has to be. Sales engineers, security specialists, solutions consultants, and product experts are scarce, and few companies can staff every live conversation with every expert a buyer might need. The buyer’s hardest question often arrives when the relevant expert is somewhere else.
That gap is part of what is pushing sales AI beyond note-taking and coaching. A note-taking assistant can summarize the missed question. A coaching tool can suggest how the rep should respond next time. Both can be useful, but neither addresses the buyer’s immediate problem. The buyer does not need the seller to receive better private advice after the moment has passed. The buyer needs a credible answer while the decision is still live.
1mind publicly launched in November 2025 with $40 million in total funding, including a $30 million Series A led by Battery Ventures. TechCrunch reported that the company, founded by Amanda Kahlow, formerly CEO of 6sense, had been used by more than 30 companies, including HubSpot, LinkedIn, and New Relic.
The company’s Ride-Along launch makes the strategic direction clearer. In its announcement, 1mind described Ride-Along as an AI that joins live sales calls as a visible, named sales engineer speaking directly to buyers. That buyer-facing role is the distinction that sets it apart from a private prompt stream for the rep. It is meant to become part of the meeting itself.
The idea is a sales-engineer-style participant that joins the video call beside the AE. It stays out of the conversation until called on, then answers a technical or security question, runs a demo, or pulls up the right slide, and steps back when the rep takes the lead again. It responds when prompted rather than volunteering, and is built to stay within information the company has approved.
The design points to a category difference. Rep-assist software is built to support the seller privately, while a buyer-facing participant is addressed by the buyer directly. In principle, that
