[music]

Wh why do we need agents to have a

brain? That's that that that's the

question we asked ourselves. Um and kind

of just a quick background on myself. Um

my name is Dvang. I'm the co-founder and

CTO here at Airspeed. Before this, I was

training LLMs in the Gemini team at

Google Deep Mind. And then when we

started airspeed we we were we started

thinking what are the main issues with

building GTM agents today and uh one

thing that we kept coming back to was uh

today's agents they're flying blind it's

and the problem is not the agents it's

the fact that they they don't really

have a brain behind them and and what do

we mean by that we mean that the agents

that are being run today they are just

acting on a surface level context and

really shallow signals. They just don't

understand what it means to for some to

be selling your product to be why do

people actually buy your product? Why

are people churning from your product?

And what makes your what makes it a good

sales process for you? What

differentiates your best sellers from

the rest of the sellers? and and all of

that information, even if you were to be

able to somehow encode it into an agent,

which we see some people try these days,

but it would be this static

representation of of what your sales

process, your sales playbook looks like

today. It would be static. There would

be no feedback loops. You're not really

learning from what's actually happening

in the market and you're not really

updating your agents.

And in today's world, I think we

probably live in the craziest times

where the entire competitive landscape

is just changing every single day. If I

think uh we've uh the market is just

completely different week over week and

we need to make sure that our sales

process reflects that and the correct

and it and the correct information is

being incorporated into our sales

processes. So how do we solve that? So

at airspeed we we said how about we

solve the intelligence layer first. So

let's build the airspeed commercial

brain. So within the airspeed commercial

brain we have we're building this

self-learning intelligence layer that

you don't have to keep it updated. It is

connected to all of your customerf

facing systems. So, it has access to all

of your calls, all of your support

tickets, your product usage information,

everything that paints the full picture

of why people buy your software and uh

and also how they use it, why they churn

from it. Every single piece of

information gets incorporated into this

commercial brain which builds this

really deep understanding of your GTM

strategy and it gets sharper with every

single customer interaction.

And then what happens? Um uh so then we

we combine the commercial brain with our

own agent harness. So the unique thing

about airspeed is that we have both the

commercial brain and intelligence layer

along with the agent harness which can

act on that in intelligence so that you

can build agents that actually execute.

Um so and and that's it. That's the end

of the the slides part of my

presentation. I just want to go and show

you now how we can build a prospecting

agent in under 10 minutes. And the agent

that we will build won't be static. It

would be powered by the commercial brain

which already knows everything about

your product and it will be able to use

that to build the the best uh se the

best sequences out there for your team.

And you can trigger it based on uh

internal signals like deal state

changes, product usage patterns or

external signals like u any intent

signals you might find on the web or

just any custom triggers really. So

let's dive in.

So just uh sharing my screen here.

All right. So let's so we start here on

what we call the agent command center

and uh what this really is is a

centralized place where I can see all

the agents that I'm running and all the

agents that my team is running as well.

So that you know you always have this

situation where you're like I have

people burning so many tokens on u on

cloud code or open claw or something but

what's act what are they actually

running you want to have a centralized

place where everyone can see the agents

that are being run for your company and

uh so that you can go and actually

inspect them and you don't have key

person risk uh in the same way and then

but but what I'm really proud about is

how user friendly we managed to make it,

right? Building agents feels like this

um this very uh thing feels like oh you

would be in in terminals and writing

code or something. No, in airspeed it's

like a super simple command center where

we already give you lots of templates to

start on that you could customize or you

could start from scratch. Um so let's

start with the prospecting agent that we

have already set up here.

Um, within the prospecting agent, you

can see that it's triggered by a deal

state change. So, every time a deal

moves to closed one, this agent gets

triggered. But you can set this up on

anything that you want. Um, and you can

uh

Yeah. And then so, and what happens when

the deal moves to close one, it triggers

essentially this agent which is able to

go and orchestrate your entire GTM tech

stack, right? So everything the whole

point of a GT agent harness is not that

it can do everything but it is able to

orchestrate your entire GTM text stack.

So it can access Apollo. It can um it

can use whatever

data sources that you need for contact

information. It can use whatever

sequencing or software that you need to

actually send emails and then it can

actually go and execute for you. So what

does that look like? So here is one of

the sample runs for it. So one of our

deals as soon as it moved into closed

one. It uh it triggered this and uh what

did it do? It looked at all the personas

that were involved in buying our

product. Right? So, so it said okay, it

was

revenue operations, it was uh CRO's, it

was uh head head of sales, and then it

it analyzed from that deal and the rest

of the commercial brain what made those

people buy our platform. And then once

it had all of that information, it

crafted um really detailed sequences for

each one of those people for for each

one of those personas. Then it used

Apollo which is the data data tool that

we use to go in and find similar

companies and find similar people at

those similar companies. All the stuff

that you would have to that your reps

would have to be doing manually or it

would be doing be done in an

inconsistent way in your company. We

would just go and do all of that for you

and the agent is just fully autonomously

executing all of that. At the end of it

all, it would go and it would create a

sequence in outreach and you can and

this is the part where you actually

interact with your customers. So we give

you that choice. So you can either run

this agent fully autonomously where it

says it just goes and enrolls those

people and starts sending them emails or

you can run the this uh

semi-autonomously where uh it would

create the sequence but you go and you

still confirm that you're happy to run

this uh it right now and and the results

have been truly phenomenal. I think the

con because all of these uh sequencers

are so hyper personalized we are getting

with brand with companies that are

actually very similar to the company

that we're reaching out to the

conversion rates are just so much higher

and we uh I will show you some stats and

uh soon but just the conversion rates

are just so much higher as well and uh

and we are built just generating so much

pipeline for oursel but also for our

customers using a agents like this one

and uh but I don't want you to take away

that airspeed is just a platform for

outbound um we we do excellent we we do

an excellent job at top of funnel but we

can also help with strategic questions

and middle of funnel you uh use cases so

here is a CRO cockpit that we created in

our agent and again it's super simple to

create uh we see uh uh the CRO's

creating this themselves without having

to spend do a lot of back and forth with

people. We it's just super a uh easy to

create these agents in our platform. But

if you're really strapped for time, we

also have an incredible forward deployed

engineering team um which are which is a

combination of really talented engineers

and really talented DevOps folks who are

experts in our platform who can come in

and build all of these agents for you to

be fully customized to your processes.

And uh and here this is so what this

agent is doing it is answering the three

biggest questions that we see from CRO

all the time. So number one, what which

ones of my top deals are likely to slip

this quarter? And it's not just looking

at uh [snorts]

you know activity data or something,

right? It can actually go analyze every

single customerf facing interaction and

use that information to tell you which

deals require immediate CRO attention.

And we need to make sure that they get

that attention so that it the deal

doesn't slip this quarter. Um then we

the second biggest question we see is

which of my top accounts are going to

churn or have some uh high churn risk

and we've seen people try to

um do this in a lot of customer success

platforms but they don't paint a full

picture right to really paint a full

picture we need to orchestrate your

entire tech stack. So that means getting

all of your conversational data, your

product usage data, your ticketing data

and all of that um getting created

directly within airspeed agents to tell

you the complete picture here. So for

instance here you can see that one of

the really large accounts they are uh

experiencing some product issues and

they pro they've opened a lot of tickets

but the but it has not been helping them

and uh they have this critical meeting

coming up with no data to to go off and

uh yeah it's really high concern high

risk for the CRO to get involved with

immediately and uh my favorite part

personally is so So next up, my favorite

part personally is the competitive

intelligence piece. So because as a as a

as a product leader like the tech the

the landscape is just moving so fast and

it's just so important for me to

understand

week on week how my competition is doing

and uh and and not just from from both a

quantitative and qualitative lens. So

what does that mean? Right? So it means

that I want to know how many times an a

uh a competitor is coming up in my calls

right but I also need to know when it

comes up what are the relevant codes so

it's so for instance right this is what

I really loved right like the kind of

subtlety that my that these agents are

able to pick up for us and for our

customers is like one of their biggest

competitors right they are pricing

completely differently within mid-market

and within enterprise and they're being

seen as being priced out, pricing

themselves out at the large enterprise

end, but having really aggressive

pricing on SMB. That's the kind of

critical information that as a CRO you

need to know so that you can go and

change your pricing and packaging to not

start losing deals to this uh to this

competitor. And uh yeah, so that's yeah

and then but also with the that's with

your main competitor, but with your

smaller competitors, you also need to

know what's going on because you don't

want one of your kind of more agile,

nimble competitors to just completely uh

seize the initiative from you as well.

Great. And I'll show you one final agent

um very quickly because you know

forecasting is very close to my heart

and u and what this agent is able to do

is just completely phenomenal. And uh

here so we have this a um within

airspeed each deal that you have we

assign probabil we we assign a close one

probability to it and based on that

probability uh you can build a really

accurate forecast. But wait, LLMs are

just really bad at doing any sort of

math. So how can you actually trust them

to do this for you? So because of that,

we gave LLMs the ability to write code

which we then execute in a really safe

sandbox um so that they can they can

actually do the correct maths. So here

uh what what it did was it it used the

probabilities we assigned to them where

and then it used that information to

kind of say based on the probability

waiting and this is not like all of your

best case 20%. Right? It's it's going to

every deal assigning a really calibrated

probability to each one of them and uh

yeah and then writing code to give you

an aggregate number. [music]

Erh, if you heard about Lucia, so you

probably know us as the place you get

emails and phone numbers. But this is

not why I'm here today. I'm actually

here today to tell you that it isn't

just like contact information that we

provide. It's more than that is a sales

intelligence platform for go to market

teams and for AI agent as well.

So right now it means like we are giving

you all the process from the start to

the end from defining your ICP get the

signals find by find the buying groups

everything you need without doing any

research yourself and

the most exciting thing is that you

don't need to come to Luca for for that

we are coming to your place it means

through API and MCP you can work with us

in your CRM with agent everywhere you

just want and the place that is your

field that comfortable to you working

with us. So I have a lot of use cases

that I could show today but I chose to

because I have limited time and those

two that I actually like the most and I

hope that you like it as well. A quick

heads up I recorded them in advance so

we will not spend watching time on load

screens and we can see the real thing

without the waiting. So the first one I

think is my favorite uh which is uh

picture let's say that you picture your

champions as a rep close deals with them

great communication

uh you know you know their needs you

know how to sell to them and then they

move company stop answering you need to

find out check in what happened get the

contact information again and sometimes

it can be too late and the thing is that

they just got there and they haven't

picked up their tool yet. So, it's a new

place for them. You're a familiar face.

And if you miss this opportunity and

wait few months, they can sign already

with someone else and you're locked out.

That's why you shouldn't wonder if your

champion moved or remembered to go and

check. Lucia tells you right in the

second that it happened and it's run on

its own. So, let me share my screen and

show you what I mean.

Okay. So here you can see like NA10.

This is the automation tool I chose. But

of course you can work with any

automation tools that you have and

working with. And what you can see here

is something interesting.

You have like a web book when tracking

all my agent. The moment one's change it

fires. It enrich a new company. It go to

my ICP qualifier agent. Look if the

company matching the ICP it's enrich the

contact with new email and direct font

for this relevant company. It's update

Salesforce and then is going to the

champion outreach agent that just

sending me in Slack all the information

and even email that ready to send. So at

the time that I get that Slack message

all the work is done. Who is who is the

what's their name? Where they came from

and where they moved, what was the last

interaction with them. That's not a cold

call. It's a relationship call. It means

like once the revops see sets it once

it's run itself and you get all the

notification right at Slack. This is

amazing use case that I like the most.

And now let's see let's talk about the

second one. And the second one is

maybe the most popular and relevant

today. And why is that? Because every

one of us today working with LLM. If

it's in cloud, if it's in GPT, if it's a

Gemini, it's part of our day-to-day. So

let's say that uh when you're working

with with claude in your daily basis. So

why not to use it also as a tool that

already give you everything you need and

analyze everything for you with all the

power that Lucia can give you. So let's

take a use case like you have a a tool

for training and enablement software

that you're selling. Uh so it means like

your buying group is companies who is HR

and uh learning and development teams uh

is growing fast right. So when they grow

fast the on boarding now for as I can be

three time loads for those companies.

What it means? It means that now one

senior person that needs to walk through

a few people h it just can breaks the

process like when you have a lot of now

you need a lot of capacity to work on

and things slips and if we're talking

about like companies as financial or

healthcare and of course if we're

talking about compliance training slips

is a real risk. That's why

companies like this that have the

problem and they didn't have even time

to gone looking for a tool that will fix

it. That's the window for the person

that sell it. That's the that's the

window that you need to find in order to

find the best opportunity for you. So

how do you find those company uh before

anyone else? You can go and search one

by one, check who is hiring, take times,

forever [snorts]

or you just can, you know, go to Lucia

and get the signal immediately. So you

don't have to be technical here. You

just ask in plain English

exactly on the LLM right away. And let

me show you how it how it looks.

Here

you can see that I'm writing just like

find companies actively growing their HR

pull the signals enrich the top ones

[snorts]

and map the contacts at the at the first

five.

You just hit enter

and what is happening right now

it will start working and thinking now I

have Lucia plug-in installed in my cloud

and what it will do it will just running

look at it like while it work notice

what is doing is going through Lucia

and then reading the real hiring signals

company by company

these things used to be hour of manual

research

Now when is running then is getting you

can see like over 3,000 companies it

picks the top five all with real HR

growth and drill here in the company

priming

up to 24%

and they have like signals of HR surge

and adcount growth now is going and

search me for the buying group

and you can

that I'm getting all the insights in the

buying committee. You can see Lisa Brown

uh which is the chief people officer, my

economic buyer, Christopher Whitaker

which is the VP of training and

development my champion

validate email direct phone LinkedIn and

now is suggesting me also to outreach

those records like those those champions

the champion Christopher now what it

does is give me all the insight for

everyone why I need to to to [snorts]

target those people using Lucia to give

you the full insights about the company

and the champions and the the Biden

committee.

And as you can see here what it does

like let's say I'm want to draft an

outreach to Christopher and just I click

draft outreach and it writes a real

email not a template it leads with an

actual signal in the voice of someone

who did their homework and all I need to

do is just like to send it and that's it

from 3,000 company down to one person

with a reason to reply in two minutes.

[snorts]

This is like the amazing world today

when we can leverage those tools to our

benefit. [snorts] And that's not the end

because Lucia, let me stop sharing.

And that's not the end because Lucia,

it's the

layer for everything else that you

search. So it means like buying signal,

funding, website visit, recommendation,

buying groups, the all intelligence

layer. So every lead has a reason behind

before it's even like a the person pick

up his phone.

So it means like that we are not anymore

the lookup tool that you always thought

in case you heard about us. It's

something that runs in the background

doing the work for you and it's working

in cloud. It's working in your CRM. it's

working in clay. Wherever you work, you

can use Luca now. And that's the amazing

part when you can really leverage that

job and and save so much time in those

cases. So I would just like say three

quick things. If you used this before,

look again because we are different

product now. That's first. If you use

Claude, very important, install the

plug-in first, the connection to Lucia

and log to Lucia to your Lucia account.

So Claude will be able to connect to uh

to that tool and to your account and use

Lucia. Also, if you work in GPT, same

thing, any place you can connect our

MCP. [snorts]

And the last thing, the most important,

if you're new to Lucia and you never

heard about us, sign up for free. You

can use us for free and test it. Go to

lucia.com and just try it.

>> [music]

>> uh what consensus can do and how our

platform works. Uh before I jump fully

into my uh demo with you today, I'd love

to just ask uh in the chat if you could

put your answer uh of of this question.

How much of a buyer's journey do you

think is done on their own? When we look

at B2B world, how much of their journey

do you believe is done on their own? 80%

70% seen some comments coming in. That's

great. We're going to get to that in a

minute, but I'm going to start by

sharing my screen with you all and we're

going to dive right in. So, we're going

to talk about consensus and what our

product experience platform can do for

you and your teams. Uh so, first I want

to start with just a view from the past.

Not long ago, sellers hel they held all

the cards and they controlled all the

information, the processes and the flow

and pace of the deal.

and they have more control and fewer

unknown unknowns in this world. But

times have certainly changed. Go to

market teams are facing new challenges

like they never have before. Uh here you

can see in this graphical

representation. You can see the new

sales processes where uh if you take a

good look at it, it's enlightening to

see how buyers hold all the cards now.

They hold all the power of knowledge.

Meanwhile, go to market teams are

typically overwhelmed by tools and

processes, slower cycles, more

stakeholders, misaligned content and

demos, and pressure to perform, of

course, under budget constraints. So,

it's safe to say that control, at least

for the the seller, has left the

building. And there are two huge changes

in that motion today and why that's

happening. Number one, we all know it,

we talk about it all the time. It's AI,

right? That's a given. But also, there's

a second massive change that's often not

discussed, at least not yet. And we

believe that it's a huge thing that we

should take notice of. And that's all

about buyer behavior and how buyers buy.

It's about them and themselves as

humans, not just someone behind a screen

that works for a company you're trying

to sell to. And today's buyers want to

know many different things. They want to

research, they want to self-educate, and

they even do their own demos. They're

absolutely using LLMs to develop their

own opinions before your first call. In

fact, most of them come to the call with

a preferred vendor already in mind and

their pace and expectations for

something that's personalized to them

have outgrown today's sales solutions.

But there's a caveat to that. They're

increas they're increasingly frustrated

with how this process is slowing them

down. If you look at these stats here,

you'll see that 77% of the their last

purchase was difficult. You see deals

were lost due to friction and a majority

of them are dissatisfied with the

vendors that they choose. And there's a

reason for this. It's easy to see their

frustration. So if you guessed 90% of

the buyer's journey was done async and

by themsel, you were correct. So

congratulations if that was you. Uh but

if you look at this pattern, it's

continuing to go up, right? 5 years ago,

50% of a buyer's journey was done

asynchronously. Uh two years ago,

Gartner told us it was 83. And now that

number we believe is at about 90% of

their journey. So that's a lot of time

that's done on their own research and

syncing uh up with your content trying

to figure out if your brand, if your

product does what they need it to do.

And oftentimes wondering, left guessing

because it's frustrating.

Consensus really does change all that

and we fix it both for the buyer and for

the seller. We create these experiences

that span really three modes. There's

the try, which is an interactive product

tour. That's a self-guided exploration.

There's watch, which is on demand video

demos that allow you to help the buying

group find alignment. And then there's

prove, which you'll see with our sale

solution, where you can give live demos

with tailored high impact product

experiences. And of course all of these

different modalities they span across a

conversational AI layer. So you see we

have our appeal what we call talkable

conversational AI layer that goes across

all of them. And the differentiator

really is the data. Every interaction

generates different signals that

continuously refine the next experience.

So your buyer gets the answers that they

want and the seller you get the

structured intelligence that improves

your next interaction. So, let's take a

look at how this is done today inside of

consensus. First from the buyer side,

we'll take a quick look at the creator

side of things when you're making some

of these different platform experiences

and then we'll dive into the seller side

where you get that data. So, we'll jump

right into my email here because you'll

notice that Adam has sent me an email

that shows me exactly what he wants me

to watch. He's saying, "Hey, I've got a

demo for you to check out. You should

see it. I think this might be something

we could use." Now, this was sent from a

seller to Adam who's now sending it to

me. So, go ahead and click watch the

demo,

and it's going to bring us directly to

the the demo that Adam was sent. So,

we'll go over to our

screen here. And you'll see we have it

here. And I've got my name. I click on

the video.

And then I can choose what's important

to me. Well, let's say that I'm

interested in this. I'm interested in

this. Not really the creation side, but

I'm also interested in this. And you'll

see on the right, it's stitched together

a demo that's about 14 minutes long

directly for me. And I can start

watching my demo here.

Now, you notice not only can I watch

this, I can react to it and respond. So,

I can like it. I can leave a comment. Or

if I'm confused or have a question about

it that I don't necessarily like or

dislike, I can go in and hit that thumbs

down button. We like it when people

don't, but that's going to happen,

right? And we can watch this demo all

the way through and discover exactly how

it works for us and for our needs.

Meanwhile, on the back end, as the

seller, you're getting all of this

information. So, I can now see that

somebody watched my demo in its entirety

and I get a notification that they did.

You can also see that I got a

notification that someone else watched

it and someone left a reaction on it.

So, I'm getting all this this

information on the back end.

From there, you can actually go in and

see how they're interacting with your

content. So, here is what we call a demo

board, which is a link demo that you

send to a customer. and I can see just

who's interacted with it and how much

time they spent watching it and what was

of interest to them. So here you can see

I've got uh these different important,

somewhat important and not important se

selections from each of these people. So

if I wanted to dive in a little deeper,

I could. So I'll go ahead and click on

this one

and I want to see how this person is

interacting at a personal level for

them. So, I could at the top select a

different person. I could choose which

demo I wanted to to view. If they had

been sent multiple demos, they could see

them here. And I could choose the

session. So, if they've watched it more

than once, they'll have a session that

you can choose from. But we'll just keep

it on this first session here. And

you'll notice as I scroll down, uh, you

can see what's very important and

ranking what's important to them,

somewhat important, and if there's

anything not important, that would show

up as well. And just as this person

ranked these features, you can see that

they went in and watched it. In this

case, they watched this section right

here, then they watched this section

twice and went back and watched it for

that second time. So, this was of

importance to them or maybe they didn't

quite understand it and we need to help

them understand it. And then you can see

they finished it here. There they also

left a reaction. So, I can go in and

click on this and see where they reacted

and what it was. this and I can play

video back

and that helps us to see what was of

interest to them, how they interacted

with it, and where and when it made

sense to them as a user. And I can see

all the way through each of their

reactions like this. And I'm starting to

tell the story of how this individual

user uh uses the product. So this is a

great way for us to dive into more of

that detail and understand how someone

is async working in in our product,

using our product, engaging with our

product so that we can also go into our

next meeting or even selling between our

meetings or when we're not in the room

and get that information of what's

important to this buying team. So you

can start to see what they need and how

they want to interact with your your

content. Now again, I could go back to

the feature ratings and I could see how

each of these people interacted with it

as it loads up here.

And now I'm telling a story, as you can

see, of everything that's important to

them, knowing what their different roles

are and who I need to speak to and get

alignment with in the buying journey.

And that allows you again to see how

everyone's interacting with this content

inside of this demo board. Now, in

addition to that, there's some pretty

great things that you can create inside

the tool. I know we showed you the video

features already, uh, when someone

clicks on a video, but there's deeper

interactive things like the product tour

that we mentioned. So, I'm going to show

you how that works from a creator

standpoint. And how I'm going to do that

is I'm going to build a tour with you

here, but I'm also going to build the

tour of how to go through adding a video

to your demo library. So, let me show

you how that works. First and foremost,

we're going to go up to here to our

extensions and we're going to click on

the dynamic tour capture button. We'll

click on this. We can choose our window

size. We could choose to do a just a

record of our screen or an HTML tour if

we wanted to. For the sake of this,

we're going to do the screen tour. And

I'm going to hit capture.

And in a moment here, it's going to

allow me to do a countdown and start

capturing my screen and my clicks with

me. So, we're going to make a single

experience demo. We could make a

discovery demo, which pulls in multiple

demos, or what you saw previously, a

standard personalization demo, which

builds a feature set that's important,

somewhat important, and not important.

But we'll do single for this experience.

I would go in here and I would add a

title if I wanted to. On my next screen,

I can choose my demo settings. So, what

this looks like when somebody goes in

and and views the demo. How does the

color appear? What does it look like?

We'll keep with our main theme. I can go

to my demo content where I could add my

video if I wanted to upload it or if I

wanted to add a dynamic tour. We'll hit

continue again and go to stakeholder

actions. So, we can give them a share

prompt. So, as you saw, Adam shared this

with me. We can choose where this is

started at uh whether it's the beginning

of the demo or at the end of the demo or

not at all. And we can hit continue and

move on to our additional interactions

where we can give them other things like

a lead gate or sidebar options here that

would show up on our screen in this

section with different call to actions.

And then we need to finalize our demo

where we publish it. We can add tags to

it and we can choose where it sits

inside the demo library and who has

access to it. Maybe we want one vertical

to have access to a certain type of demo

and not the other. But that's what we

would do there. we would click finish

and then we'd be done. So, we just built

our tour. So, I'm going to go back up to

my extension and I'm going to stop it

and it's going to finalize my experience

for me. Now, it pulls up this new screen

where it then offers me the ability to

build out my tour, finish finalize

everything. Now, we can let Consensus AI

write this with us. So, let's go ahead

and do that. We're going to try it out.

And I'm going to say this is a tour on

creating a demo in the demo wizard.

And then when I hit write,

it's going to build this out for us.

And I'll show you what it looks like on

the back end. Here we've got our tour.

On the bottom here, I have all my clicks

that it goes through. And you'll notice

that it has built-in call outs which I

can change to add a button next to with

steps. I can change the text if I want

to. And I can even add a voice recording

for these if I go through them and want

to do that. But let's play this out. See

what it looks like.

Sure, that looks great.

Great. Maybe this one I want to add a

step to.

And you can see you've built out a tour

just like that. So that is one of the

ways you can use the R tool to build out

the content that you want to build. So

again, we have these three different

things that you can do. Try, watch, and

prove.

With consensus and peel and salo all as

one product, you're no longer optimizing

a single stage. You're plugging into the

entire funnel as one connected system.

So you'll see here in this bow tie

funnel here that peel helps capture the

surface and surface real buyer behavior

across digital touch points while

consensus turns that intent into

interactive buyerled experiences.

whether it's through video demos, tours,

or conversational content. And then with

our sale tool, you can take it further

with these high stakes moments powering

live demos, fully contextual and exactly

what you need to get the deal across the

the finish line.

And the results that you saw in those

funnel, they don't just convert, it also

learns, adapts, and then compounds with

every interaction. And every experience

generates signals. Every click and every

question, share and conversation, they

contribute to a richer understanding of

your buyer. And each interaction informs

the next experience, making it more

relevant and personalized.

In essence, in today's market, your

product is the pitch. It's not

supporting the pitch. Buyers don't want

to be told how your product works. They

want to experience it and they want to

interact with it. And now every

interaction they make becomes more

intuitive for you and allows you as a

seller to sell faster, make faster

decisions that are more educated and

help your deals move with less friction.

So that's what I have for you today.

Thank you so much for joining us and it

was nice to be with you all.