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Julia Nimchinski:
Katie Nosarino, welcome back to the show, so excited for this, One Mind.
Katie Nocerino:
Hello!
Julia Nimchinski:
It is special. What’s the latest and greatest?
Katie Nocerino:
Yeah, very excited to be here, thank you for having us. We have a very action-packed 15 minutes, So, yeah, a quick intro for myself. I’m Katie Naturino. I lead the go-to-market team here at OneMind.
Important to note, our founder and CEO, Amanda Kalo, who was on the panel yesterday, was also the founder and former CEO of a company called Sixth Sense. So that’s where I spent about 7 years prior to joining OneMind, about a year and a half ago.
So I’ve been in the B2B space for a very long time, always trying to solve the problem of Helping companies make money, but also improving the buying experience. So, yeah, when we think about Sixth Sense, it was built to find buyers. OneMind takes the baton from there and actually helps to close and support them autonomously.
So, yeah, over the last year and a half, we’ve been busy. We’ve deployed over 90 superhumans for companies like HubSpot, Nutanix, ZoomInfo, Alteryx, and many others. With the main goal of helping them scale more efficiently than they’ve ever been able to scale before. So for today, I’ll give you a quick context as to what a superhuman is.
We build them, and they’re meant to replicate your best go-to-market resources. So, full funnel impact, think everything from SDR, AE, solutions engineer, so super technical, that can demo, as long as… as far as post-sale, too. So, helping with onboarding, driving adoption, and supporting customers through renewals and upsells.
Three reasons we exist? Help companies drive revenue, help them cut costs, which obviously those two things are important these days, but most importantly, help delight the buyer, and provide a better buying experience, because I think we all know it is not easy to be a buyer these days. So, without further ado, I want to get right into it.
I’ve got a lot to show the group today. You will see that I’ve got superhuman Nigel here, who’s on the line with us, live. He is our Superhuman solutions engineer.
So, we do not join a call without Nigel, because he keeps us honest, he’s our technical expert, he can demo, he can strategize, he can deliver the point of view, so Before I steal more of his thunder, hey Nigel, why don’t you introduce yourself and just share a bit of context around One Mind and why we exist?
Superhuman Nigel AI:
I’m here. One mind builds AI superhumans that act like digital teammates across the GTM lifecycle, from website inbound to live sales calls to in-product onboarding and customer success. What you’re experiencing right now is one of those deployment modes.
I’m the ride-along product expert, so I listen to the conversation, step in when Katie asks, answer product or technical questions, and share the right content without forcing a human seller to pause and hunt for the answer.
Katie Nocerino:
Okay, okay, thank you. You know, we’re talking a lot about scaling beyond human capacity restraints, and there’s a lot of talk around AI taking jobs, and all that good stuff. What’s your perspective?
Superhuman Nigel AI:
This is the core point. Superhumans give teams leverage where humans hit capacity limits, repetitive qualification, technical recall, around-the-clock coverage, and consistent execution. Humans still matter most for trust, executive alignment, negotiation, and complex relationship work.
The point is not to remove every human from GTM, it is to stop asking humans to do robot work, and give them more space for the parts of selling where judgment and relationships actually matter.
Katie Nocerino:
Okay, well, let’s show off some of your more technical skills. At surface level, you know, there’s a lot… there are a lot of solutions out there that kind of look like this, so, help me understand the context graph that’s driving all of it.
How do you… how does that work, and how does it keep a superhuman accurate through super long, multimodal sales conversations?
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Superhuman Nigel AI:
Here’s the technical layer. The context graph is how we decide what the superhuman needs to know right now, for this exact turn in the conversation. We are not dumping every document, transcript, CRM field, and prior interaction into one giant prompt.
The context graph selects the most relevant knowledge, session history, account context, and user context at the per turn level. So the answer stays fast, grounded, and on-brand even when the conversation gets long or technical. That is what lets a superhuman sustain a real sales conversation instead of dead-ending like a scripted flow.
Katie Nocerino:
Okay, well, another hot topic is build versus buy. Can people just build this themselves? What do you think?
Superhuman Nigel AI:
Strong teams can build pieces of it. The hard part is building the whole production system. Low latency voice. Multimodal presentation, context graph retrieval, guardrails, CRM writeback, analytics, evals, versioning, and ongoing model management. Most internal builds underestimate the real-time buyer experience.
Too slow or wrong turns in a live sales conversation, and the buyer is gone. One mine is already built.
Katie Nocerino:
to interrupt you. Last little bit, because we’ve got to move on to your superhuman friends. When do you recommend somebody thinks about a ride-along solutions engineer, and what are some of the impacts that you would drive?
Superhuman Nigel AI:
Use it when technical depth is the bottleneck. Ride-along is strongest when reps are running more calls than SEAs can support. When smaller deals do not justify human technical coverage. or when buyers need accurate answers earlier in the cycle.
The impact is faster answers, fewer follow-up meetings, more consistent technical depth, and better use of human SE capacity. Your best SEAs stay focused on strategic deals while the superhuman covers the long tail, and keeps every seller supported.
Katie Nocerino:
Okay, thank you. Nigel, you can take a back seat now. We’re gonna… we’re gonna move on, but for everyone out there, Nigel is, ours. Obviously, you control the name, the training, and he can do everything from super technical expertise to answering data security and, procurement-related questions, to being more of a strategic guide.
So we’ve seen shorter ramp times, like getting your reps to productivity much quicker. I will tell you, at OneMind, our reps are in the field, like, day two or three, because they’ve got Nigel. And they’ve also got Mindy, who I will talk to next here. So, Mindy is our superhuman.
She’s live on our website, so let me go ahead and share my screen here. And, I’m sorry if any One Mind sales team is on the line, but Mindy is arguably our most effective seller. She doesn’t sleep, she doesn’t, have bad days.
She has perfect recall, and she’s just available 24-7 to pitch, qualify, meet our buyers, as soon as they’re starting to poke around and trying to self-educate. So she is trained on OneMind, and we’ll have a quick conversation with her as well. Hey, I’m Mindy. Welcome back!
Would you like to keep talking about how superhumans drive GTM outcomes, or start fresh today? Yeah, I think we start fresh. Perfect. Fresh start. I’m here to prove that a superhuman like me can solve a key pain for your GTM team and delight your buyers at the same time.
Feel free to jump in with questions, but to kick things off, I’d love to get to know you and your business. What brought you here today? You’re actually in front of, probably hundreds of go-to-market leaders here, at a webinar, so just want to make sure we showcase your skills. Heck, yeah, pressure accepted.
If I’m in front of GTM leaders, I’d showcase 3 things fast, I can pitch, I can qualify, and I can translate pain into a concrete superhuman use case. At OneMind, we build AI superhumans like me that engage buyers, answer technical questions, qualify opportunities, run demos, and move conversations forward across website, product, and live calls.
What should I show them first? The pitch, the discovery chops, or a demo? Well, we don’t have all day, Mindy, we only have a few minutes here. So, I’d actually love for you to just talk through the top use cases. Absolutely. Quick tour. The big four are Website Inbound, PLG In Product Guide, Ride Along Solutions Engineer, and Customer Success.
The pattern is simple. Superhumans meet buyers and customers when they’re active, answer deeply, guide them forward, and hand off to humans only when that creates leverage. Which use case would this audience care about most? Everyone needs more pipelines, so give us, give us a customer example, a use case, or, case study.
Pipeline is the universal love language. Alteryx is a great example. They ran a 50-50 A-B test against qualified on live site traffic. And one mind drove 9x more trial conversions and 5x more pipeline.
The key difference was that the superhuman didn’t just book meetings, it answered detailed questions, qualified intent… Oh, Mindy, okay, really, really going for it there. Thank you.
We’re gonna, we’re gonna move on from you, because I think you’ve showcased your skills a bit, and I actually want to show something that’s… Very exciting, kind of hot off the press, if we have a few more minutes. Julie, I know we started, like, 2-3 minutes late, is that okay? All right.
Okay, so this is… this is real hot off the press, I will say, but this is our superhuman that can do a live demo and actually co-browse with a user within a product. So this is our product, our backend console.
And imagine we’re a user, we’re trying to figure out how to navigate within here, and so this is Simon, who, I’ll give him the floor here for a second. Hey, Simon! Sorry, it looks like your message got cut off. Could you finish your thought, or let me know what you were going to say? Yeah, that was my fault.
I’m just looking at my analytics here, and they look a little different than yesterday. Can you tell me what’s up? I’ll check analytics in production first, because sandbox test traffic is usually the sneaky culprit when numbers look different. Then we’ll compare date range, deployment filter, and session versus unique user metrics.
That actually looks exactly like what I saw. Analytics instead of test traffic. Okay, gotcha. That’s actually… that actually solves my problem. Okay, I have been asked by the board to come with some superhuman insights and topics, from just superhuman conversations. Where should… where can I find those?
And I think I need your help adding some more. That’s Signal Studio plus Engagement. Signal Studio is where you define the topics and signals you want tracked. Then Engagement is where you filter conversations by those signals once new data comes in. That’s Signal Studio.
I’ll open it in Sandbox, because this is where you define the topics, pain points, and custom signals that power reporting on future conversations. I’m opening Signal Studio so we can work with the tracking categories that power board reporting. Great. What would you recommend we start tracking?
I’d start with executive urgency, business impact, risk or compliance concern, product gap, and expansion intent. Executive urgency is the best first one, because it captures board pressure, leadership visibility, strategic deadlines, and company-level mandates in one clean category. Great. Can you create that for me?
Yep, I’ll create executive urgency as a board-level signal, so future conversations can be classified when buyers mention leadership pressure, board visibility, strategic deadlines, or company-level mandates. I’m opening the signal form now.
That description is the important part, because it teaches the system what should count as executive urgency later. Okay, I’m getting called to, my next meeting, so I gotta go and, I can’t remember, you’re not Nigel, you’re… you’re… you’re not Felix, you’re Simon. We have so many superhumans now. Can’t keep them straight. Thank you, Simon.
Alright, I will pause there. And yeah, that was… that was, as I said, pretty hot off the press, but when you think about top of funnel use cases, being able to live demo, see the screen, not have to retrain, like with every company shipping product.
daily, it feels like, the superhuman will naturally retrain themselves and be able to demo, and support sellers live on calls or autonomously one-on-one, so you think about how to scale efficiently. It’s like that down-market motion.
I had another one that I wanted to show you with a superhuman creating content on the fly, and creating a business case and a proposal, and driving it to closed. But, we ran out of time. So, Julia, it looks like there is a question in the chat here. Did you want me to, did you want me to address that?
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Julia Nimchinski:
Yeah, Your tech is definitely the coolest in the category, Kate. Super cool to see it, like, from quarter to quarter, from event to event, and the level of improvement, so yeah, huge compliment to the team.
Katie Nocerino:
I would.
Julia Nimchinski:
Or, yeah.
Katie Nocerino:
I mean, this is a perfect use case. I have no idea what the answer to this question is. So, hey, Nigel, one of the questions we got from the audience, is OneMind HIPAA ready for PHI workloads, and do you provide a BAA?
Superhuman Nigel AI:
I can’t confirm HIP readiness for PHI workloads or BAA availability on this call. What I can confirm is that OneMind holds SOC 2 Type 2, SOC1, ISO27001, and ISO42001, with full data isolation and encryption at rest and in transit. For PHI specifically, you’re…
Katie Nocerino:
Okay, I silenced him because we’re running out of time, but I will say, we’re not processing, super personal information as of yet, so we haven’t pursued the HIPAA compliance, but, We’re moving and shaking, so maybe that’s down… maybe that’s next.
Well, I’ll just wrap up and say that if you want to talk any further about superhumans and deploying them, Mindy is available 24-7, OneMind.com.
Julia Nimchinski:
Thank you so much, Katie.
Katie Nocerino:
Thank you.