HomeVideos

How one terrible trip inspired a tech IPO: Navan Co-Founder

Now Playing

How one terrible trip inspired a tech IPO: Navan Co-Founder

Transcript

669 segments

0:00

What employee wants to put their expense

0:02

into a system after a business trip? Oh,

0:04

wait, hold on a second. That would be

0:06

nobody. Nobody loves doing this. Uh, but

0:08

there's a new software player in town.

0:10

It's called Non. They went public in

0:11

October of 2025. I caught up with the

0:13

co-founder and CEO, Ariel Cohen, on how

0:16

he's changing the business expense

0:19

travel game. Take a look.

0:25

For those not familiar with your story,

0:27

why why did you found this company? I

0:29

love traveling uh both for business and

0:32

for a personal and the reason is I like

0:34

this. I like to meet people. I like to

0:36

see cultures. I like to I think this is

0:38

how you understand life both in business

0:40

and in a personal and I was traveling a

0:44

lot in previous companies and the stuff

0:46

that you have is so bad. The service is

0:48

not good and in travel things happen.

0:50

You get stuck in the airport like you

0:52

show up in the hotel and the hotel is

0:54

not there. Where's the hotel?

0:56

>> I'm not kidding. I had this story in

0:57

Ukraine actually. I used to actually I

0:59

was the one of the first ones to create

1:02

an offshore operation in Odessa,

1:03

Ukraine. Like I'm talking about in 01.

1:05

I'm old. So like back then

1:07

>> you said that.

1:08

>> Yeah. Know I'm old. And and and you know

1:11

I I came to this hotel at like 11 p.m.

1:15

And there was some up with the uh

1:17

TN system. The credit card didn't work.

1:20

Uh they marked me as non-show and no

1:21

rooms are there and I'm trying to call

1:24

the travel agency. Nobody is picking it

1:26

up. It was actually in the winter, so

1:28

I'm like freezing. And they tell me,

1:30

"Okay, go down the street, the hotel."

1:32

So, I'm going between one hotel to the

1:34

other. Eventually found this hotel. I

1:36

took the presidential suite. It was

1:38

actually It cost Exactly. It cost my

1:40

employer a lot of money. But the thing

1:43

is all of these stories are so real and

1:46

both Elan my co-founder and I we thought

1:49

that like there has to be better

1:51

service, better way to book your trip.

1:54

Uh better way to actually think about

1:56

your loyalty and optimize it. Uh now we

2:00

are getting more into even destination.

2:01

What happens in the destination, the

2:03

restaurant, the events? I I have a you

2:06

know a free night I want to go to the I

2:09

don't know to a show or to the uh Knicks

2:11

game. So all of these things and when we

2:14

started Noan or back then it was

2:16

straight actions. It was not there. It

2:18

was like an hour or two to book. I need

2:20

to send an email. I need to beg. I need

2:22

to call some agent.

2:23

>> Yeah. I go to hotel. I I look I booked

2:25

the room. Here's my credit card. Like no

2:28

you didn't get the room Mr. Sazi. Like

2:30

it's

2:30

>> what did I It's exactly that. So we

2:33

thought it has to be different and we

2:35

are very passionate about it because we

2:38

like to be there in person. And so

2:40

that's what led to starting Nan. The

2:42

crazy story, both of us, we didn't know

2:45

anything about the travel industry. I

2:47

mean, like nothing.

2:48

>> She didn't work at Expedia.

2:49

>> It was crazy. It was like we met some

2:52

airlines at the beginning and hotel

2:53

chains and we told them we're going to

2:55

change the travel industry and then then

2:57

they ask us some simple question. I

3:00

remember the first question was are you

3:03

going to connect to us through a GDS

3:05

which is a very basic system in the in

3:07

the driver space and I was what's GDS

3:10

what the hell is that so we didn't know

3:12

anything but we didn't know one thing

3:14

and I think probably you see it as a

3:16

user that the user is the most important

3:18

thing the traveler is really the focus

3:21

where we need to focus and we need to

3:23

maniacally focus on the experience and

3:26

making sure that it's so so good that

3:28

then you can just focus on being there.

3:30

That's something that we knew from day.

3:31

>> How did you get up to speed so quick on

3:33

a topic and a subject that I mean you

3:36

just I mean you weren't involved in

3:38

before.

3:38

>> We made a lot of mistakes at the

3:41

beginning but we are learning fast. I

3:43

think really our culture is like we are

3:46

uh we are not shy of doing stuff of

3:49

getting to areas that we don't fully

3:51

understand uh going for it and then

3:55

fixing it and once we are fixing it it's

3:57

really really good. This is how we got

3:59

into fintech, right? We didn't know I

4:01

didn't know anything about credit cards

4:03

or how do you finance credit cards?

4:05

>> Yeah, cuz your business really touches

4:07

everything. Cards, travel.

4:09

>> It's it's a fairly complex business.

4:11

It's a two heavily regulated industries,

4:14

travel and fintech. Um it is very you

4:18

have to be global and to be global you

4:22

need to invest a lot of money. You need

4:24

to incorporate all over the world. You

4:26

need to get licensed. You need to do

4:27

deals with airlines, hotel, chains,

4:30

rail. You know people are traveling so

4:33

differently all over the world. So I'm

4:35

always telling this story like in India

4:38

people will use the bus for a business

4:40

trip. So you need to be to be connected

4:42

to the bus system. Uh rail all over the

4:45

world the lowcost carriers which in the

4:47

US you know it's less of a thing in

4:50

Europe it's the main way that you're

4:51

going to travel even for business. So

4:53

you need to be so informed and and you

4:56

need to get obsessed about like what the

4:58

travelers, what companies like Yahoo

5:00

wants. So it's obsession.

5:02

>> You um you're going up against some like

5:04

heavyweights. I mean I think about

5:05

Workday. I think about SAP which may own

5:08

five trillion companies. Whatever is

5:09

under their umbrella. I mean they're

5:10

giant companies.

5:11

>> What makes you tick um that that said,

5:14

you know what, I want to go up against

5:16

these very large companies that have

5:18

seemingly endless balance sheets. I

5:21

actually when I see a system or a

5:24

service that is not good, I get really

5:27

upset. It's not even in the like I get

5:29

really upset if and and and it makes me

5:32

so motivated to change it. So for me

5:35

it's actually not about competition. For

5:37

me it's about hey this doesn't make any

5:39

sense and it can be different and and

5:43

why won't we change it? So that's

5:45

something that motivates me a lot and

5:48

you mentioned these systems that are out

5:49

there today. I think that these systems

5:52

probably 30 40 years ago uh were good

5:55

and there was good intention there right

5:56

and people I don't believe that somebody

5:58

sat and wanted to create a really bad

6:00

system or really bad

6:02

>> system they wanted to create the system

6:03

that everybody hates at work but we do

6:04

hate this stuff

6:05

>> yeah but I think it was created in you

6:08

know with completely different

6:09

assumptions think about the 90s right in

6:11

the 90s everything was workflow and

6:13

everything was approval and I cannot

6:15

trust my employees and I need to put a

6:17

lot of process around it and that was

6:19

the 90s

6:20

But things have progressed but these

6:22

systems the design of the system the

6:25

business models by the way got stuck

6:27

there and this is actually how

6:29

disruption happens or somebody comes and

6:31

say hey this business model doesn't make

6:33

sense I'll give you an example the

6:35

business model of a travel agency uh is

6:37

that every time that you call every time

6:39

that you change something I'm going to

6:41

charge you right and I'm going to also

6:43

hide a lot of the fees right and I don't

6:46

like it I actually think that you can be

6:48

very transparent With Nan, we are

6:50

charging one time. You can call us as

6:53

many times as you want to. You can

6:54

actually chat with us as many times as

6:56

you want to. So, we are not trying to

6:58

kind of nickel and dime you. We are not

7:00

trying to hide anything. And I think

7:02

when you have a business model that is

7:04

hiding, somebody will disrupt you. When

7:06

you have a business model that you're

7:07

going to waste two hours of my time to

7:09

book a flight, somebody will disrupt

7:11

you. So, I think it was great in the

7:13

'9s. And by the way, in 10 years, if we

7:16

will not reinvent ourselves, somebody

7:18

will disrupt us. Right? That's why right

7:20

now with AI, it's a point that uh we

7:24

really need to make sure that we are

7:26

using AI to make the system to make the

7:28

experience even better. If we not do

7:30

that, somebody will disrupt us.

7:32

>> Before um we get into AI, when you were

7:35

10, did you want to be a founder? Did

7:37

you know you wanted to found a company?

7:39

>> Not really. So I actually think that

7:42

probably I was the opposite because my

7:44

father actually had a business and the

7:46

business went under. So I actually saw

7:49

the you know the others what not to do.

7:52

So actually I thought that I wanted a

7:53

stable job to be honest and and but I

7:57

think life eventually took me towards

7:59

this is my second startup and life took

8:01

me to kind of a different journey. Uh

8:04

but I actually saw also the bad aspects

8:07

of being a entrepreneur. Uh which was

8:10

also a good kind of training of when you

8:13

should be careful when you should go for

8:15

it. Uh so I know at at 10 I was actually

8:17

I probably wanted to be a lawyer or

8:19

something. I don't know but I think

8:21

>> what did you what what did you learn

8:22

like how is this how is this

8:25

>> company

8:26

>> different than the first company and

8:28

what have you

8:29

>> what have you had to I guess learn or

8:31

tweak about how you lead? I think that

8:33

the first company we were thinking more

8:36

of like almost engineering a startup

8:38

like we wanted to do it's the same

8:40

co-founder me and Elan

8:42

>> uh we wanted to do a startup and we

8:45

almost kind of walked it back okay how

8:47

will we raise money if that will be the

8:49

pitch uh everything made sense uh but we

8:53

didn't really think big enough we didn't

8:55

dream of changing something that is very

8:57

very meaningful we I think came we came

9:00

much more from the limitations

9:02

Um and and the dreams were different. I

9:05

think back then we were more of like

9:06

let's do an exit like from day one. So

9:09

we did an exit. I actually think what

9:11

you define at the beginning it's what

9:13

you get. So from day one we said no

9:16

we're going to build this thing to do a

9:17

fast exit. We sold it after 9 months.

9:20

And this one,

9:22

>> Elan and I talked a lot during the time

9:25

that we were kind of thinking about

9:27

building this company of it has to be

9:30

something that will change something

9:32

meaningful, something that people will

9:34

care about. This was really what drove

9:36

us from the beginning and we had so many

9:38

ideas and all of the ideas were through

9:41

this lens. Will will you care about it?

9:43

Will will I sit with you? Will you get

9:45

excited about it? We had some

9:46

infrastructure as ideas and we said no

9:49

no nobody would care about it but this

9:51

is touches people and we knew that we

9:54

wanted something that will touch a lot

9:55

of people. We knew that we wanted it to

9:57

be globally. So we kind of will will

9:59

have huge effect of everybody. Uh so the

10:02

parameters were completely different. It

10:04

was more of like how can we change

10:07

something and and that people will care

10:09

about and uh so you go and look for

10:12

really big markets and markets that you

10:14

can make a difference. It was really

10:16

different definition.

10:17

>> You just had a recently what a an

10:19

investor update. Why did you why was

10:22

that important to do?

10:23

>> I we went public as the world was really

10:28

changing while we were doing the road

10:30

show. Uh when we started, you know, you

10:32

do at the beginning you do non-deal road

10:34

shows. It's kind of to test kind of the

10:36

water and nobody talked with us about AI

10:40

at the like and this was like 3 months

10:42

before the IPO like the last week was

10:47

all about AI okay but you know in the

10:50

eye level so people still trying to

10:52

figure it out they don't fully kind of

10:55

understand it so I think we needed to um

11:01

re-educate the market and that's why we

11:04

did uh the the investors day of what

11:07

exactly is REI story because Navan and

11:11

it was really interesting we in 2016

11:14

okay introduced machine learning into

11:16

travel that's why you know when you're

11:18

using the system you book so fast that's

11:20

machine learning

11:20

>> it really is fast like I I like it works

11:23

really

11:23

>> and it works because of machine learning

11:24

it's not just AI what you see there it's

11:26

actually we figure you out we are we

11:29

know all of our inventory we have the

11:31

widest inventory in the market like we

11:32

are connected to everything. So it can

11:34

create a lot of mess and this mmatch

11:36

between you, your needs, your past, your

11:39

company, your policy.

11:40

>> So, you know, I'm a really good Yahoo

11:42

employee. I always look for the cheapest

11:43

options. And that's really true. It's

11:45

really true.

11:45

>> But that's kind of so now the system

11:47

will figure you out. So we introduced

11:49

machine learning into this very fast. We

11:51

then introduced a chatbot before Genai

11:55

based on IBM Watson uh years ago and the

11:59

chatbot will start to talk with you

12:01

about changing your flight with a

12:02

certain fairly low satisfaction level

12:05

because you know there is a difference

12:06

in the technology. So when Genai came

12:09

and I don't know if you used it or not

12:10

in our system there is this chatbot Ava

12:13

and it's completely geni

12:15

>> admittedly I've not used it. You will

12:17

probably when you'll get stuck sometimes

12:19

in an airport, you'll see how effective

12:21

she is uh to change your flight to book

12:24

you in a new hotel, book you in a new

12:26

flight. 55% of the support like when

12:29

people are stuck somewhere, 55% of this

12:32

is done by Eva and not by a live agent.

12:35

And even if Eva cannot figure it out,

12:37

she will kind of gracefully move it to

12:39

the agent and the agent will continue

12:41

the discussion from there. So it's

12:42

actually creating a really good service,

12:44

really high satisfaction, like human

12:46

level satisfaction.

12:48

So we were always kind of very deep with

12:52

AI, but that's not what we emphasized

12:55

during the road show. During the road

12:56

show, we were talking about our business

12:58

model, how we make money, how we grow,

13:00

how we sell.

13:01

>> Welcome to the public markets. Now you

13:02

have to switch and talk about AI.

13:04

>> Exly. Exactly. So we realized that we

13:06

actually have a really good story and

13:09

it's better that the market will

13:10

understand it. And you kind of see it

13:12

with our share price. You know, our

13:13

share price hit like a very low bottom

13:16

at eight bucks a share. Now it's kind of

13:18

hovering at 19.

13:19

>> I don't know why. I don't know why it's

13:21

still below

13:22

>> below because I'm I'm really I am surp

13:25

I've been surprised. The results have

13:26

been there and I see what you're doing

13:28

on AI and I see how clunky all the

13:30

competitor stuff is.

13:31

>> Yeah. I think it's time we're a new

13:33

company in the market. I think that as

13:35

we IPOed uh everybody that is kind of

13:39

software was marked as SAS. Our business

13:42

model by the way is not SAS. We are

13:43

charging a booking fee per

13:45

>> very important. I'm glad you brought

13:46

that up. Not a SAS company.

13:48

>> It's not a SAS company. It was never a

13:49

SAS company. But it was so interesting

13:51

because I think there was this moment in

13:54

time I think if you employ developers

13:56

and you can be

13:58

>> software as a service. If y'all didn't

14:00

know, we're just like speaking like

14:01

industry language like SAS and all these

14:03

stocks got hammered. service now and all

14:05

these companies just obliterated

14:06

>> and I was like so surprised because I

14:09

was we never had a SAS business model

14:11

but now you know you need to prove it

14:14

and I was saying it's usage based in a

14:18

way look how crazy it is we are getting

14:21

paid for an agent a live agent work they

14:24

book your trip right we are a travel

14:26

agency right and this is why it's an

14:29

extremely similar mo business model to

14:32

what you do with AI agents And in a way,

14:34

if you'll ever use AVA, you'll see that

14:37

there is a complete orchestration there

14:39

between AI agents that are booking your

14:42

flight, changing your flight, expensing

14:44

your stuff, doing stuff for you and

14:46

human agents and it's a complete

14:48

orchestration. So, we were actually very

14:51

aligned to this kind of new business

14:53

model. But I think as a software

14:56

company, Silicon Valley selling B2B, we

14:59

were founded 11 years ago. So, we have

15:01

to be sized.

15:01

>> Oh, I like I like So, I when I stay in a

15:03

hotel, I have to upload uh my receipt

15:05

into the system.

15:07

>> Prior software that we used, I had to go

15:08

line by line and input the price in the

15:11

room. And sometimes it just wouldn't add

15:13

up correctly. It was I was pulling my

15:15

hair out with yours. I just upload the

15:18

picture and I'm done.

15:19

>> You know, we released last week so you

15:21

you will use it soon. And you and you

15:24

actually expense agent that uh it's

15:27

actually two different agents. one is

15:29

really cutting edge. You can uh

15:32

basically take a video of the receipt

15:34

and describing

15:36

everything and we actually rework it and

15:39

basically submit the expense. So you can

15:41

say I stayed in this hotel for 3 days

15:43

and

15:45

it's actually launched already. Haven't

15:46

used I booked by my last trip I'm going

15:48

to in June. So I booked that like two

15:51

months ago. So yeah, you'll see it's

15:53

really cutting edge and this is like

15:55

like you can think about it as like from

15:57

an AI perspective it's like here it

15:59

needs to understand the video it needs

16:01

to do the expense it needs to do the

16:03

itemization that you are talking about.

16:05

So we are really taking it to the to the

16:07

edge to again to save you time we don't

16:10

want you to focus at all on the on the

16:15

tree planning on the expenses.

16:19

We want you Exactly.

16:20

>> Yeah. I'm like a freaking celebrity.

16:21

Like I got time for this Like I

16:23

mean let's just be honest.

16:23

>> But we think that every employee is a

16:25

celebrity. Really? Every employee should

16:27

be

16:27

>> Everybody's a celebrity

16:28

>> at Yahoo. And I appreciate that. Where

16:30

does AI go next for your platform?

16:32

>> In our platform, I think we going to see

16:36

more and more personalization. We've

16:40

three months ago released a new product.

16:42

It's called the Navan Edge. Noanage is

16:44

actually aimed less into the corporate

16:46

world but to business travelers that are

16:49

either their company is not managing

16:51

travel at all or they and it's a thing

16:53

in the industry uh go kind of rogue. So

16:57

when let's say that your company is

16:59

telling you to use some really old

17:02

system you don't like the service you

17:04

don't find the inventory that you want

17:05

to so some employees will actually

17:07

mainly sales people se level will go and

17:09

book outside. Noan Edge is actually

17:12

really targeting this audience.

17:14

>> I can't have that. You can't have like

17:16

no what is that?

17:16

>> But it's actually pretty cool. You go

17:18

there and it the first thing that it

17:20

does it figures out uh your wallet. So

17:24

uh all of your loyalty automatically. So

17:27

we know that you are United Global

17:29

Service Marriott Gold. uh we know your

17:32

numbers all of this automatically and we

17:34

know if you are sensitive or not to

17:37

disloyalty or to the bar in the hotel or

17:41

to the shades on the you know in the

17:43

room based on how you are talking with

17:45

us it's a genai platform so you

17:47

completely and it's based on our model

17:49

so you talk with us and we figure you

17:51

out and you are kind of creating a match

17:53

with everything that you need the right

17:55

flight the right seat the right time of

17:58

the day uh the right hotel the car that

18:00

will pick you up uh the restaurant like

18:03

you can book restaurants there and and

18:05

and so on. Um, and this is I think

18:08

really where we are going with AI

18:11

heavily personalizing your experience,

18:14

saving time to the point we are not

18:17

there yet, but to the point that you're

18:18

going to tell us, I want to go to

18:20

London. That's it. Figure it out. Today,

18:24

by the way,

18:24

>> how far away from that? Because that's

18:26

awesome.

18:26

>> Not that far. Not that far. Today, you

18:28

go to our system. Last week we had a

18:30

users conference here in in New York and

18:33

you could go to Navan Edge and say I

18:35

want to go to Navan's user conference

18:37

without giving the date without giving

18:39

anything and it will figure out and will

18:41

say you know the dates are this do you

18:43

want to fly a day before it will ask you

18:45

and get back a day after and by the it's

18:49

in the glass house and so they'll tell

18:51

across the street that you probably want

18:53

based on your loyalty is that and and

18:57

maybe in the evening before because you

18:58

free time. Uh there is the next game. So

19:02

we can actually do that for you. This is

19:04

where we are heading. The functionality

19:06

that I just described is already there.

19:08

>> Uh it will just get more and more and

19:11

more. Give me less information and I

19:13

will figure out everything uh for you.

19:16

>> Uh you were just mentioned the uh

19:17

software, the SAS companies. I mean all

19:19

these stocks have gotten hit as the

19:20

concerns about their business models.

19:22

Like what happens to these big

19:23

incumbents as AI gets stronger? I

19:25

actually think I'm on the optimistic

19:28

side of AI. I think that most businesses

19:30

will become bigger. Uh therefore, you

19:33

know, they will make more money. They'll

19:34

be more efficient. I actually think that

19:36

they will end up employing more people.

19:38

Maybe people will work less. So maybe

19:40

three days a week and not

19:42

>> You think we will get that three-day

19:43

work week?

19:44

>> I think we will. By the way, you know,

19:45

when we when I was growing up, people

19:47

worked, you know, six days a week. Look

19:50

at Elon. He's sleeping on the fl factory

19:52

floor still.

19:52

>> Yeah. But these are like you know in all

19:54

of the AI companies right now people

19:56

work six to seven days a week but I

19:58

think generally society will have

20:00

probably more free time and I think this

20:04

will create more travel it will create

20:06

more experiences it will actually create

20:08

more human almost the opposite I think

20:10

>> your company is a bet on the three-day

20:11

work week

20:12

>> my company is a bed that people will no

20:15

but will want to meet will want to get

20:18

to know each other will care about about

20:21

culture this is really what Novani is

20:23

all about.

20:24

>> Have you seen any uh this is a

20:26

challenging time like economically for

20:27

many people have you seen pullback in

20:29

travel at all?

20:30

>> No, it's quite the opposite actually.

20:32

It's a I think business travel

20:34

especially you know you ask about the

20:36

SAS company what will happen uh they

20:38

will need to meet more and figure out

20:40

what is their future right they will

20:42

need to sell more um if you think about

20:44

it I don't think companies will have

20:47

processes so you will need the

20:49

equivalent of a CRM process you will

20:52

need the equivalent of an HRIS process

20:56

like will agents needs to AI agents need

20:59

to be managed of course they do Okay,

21:01

there is regulation, there is cost,

21:03

there is location. It's kind of like

21:05

employees if you really think about it,

21:06

right? So these processes will obviously

21:09

will need to get adjusted and I think it

21:11

will have a certain opportunity for the

21:14

for Salesforce to reinvent itself or not

21:17

and if not somebody else will do it for

21:19

them. But the concept of like businesses

21:22

will have processes it will be there

21:25

when you'll have humans and and AI

21:28

agents working end to end. Uh a couple

21:31

uh around the horn to to wrap this one

21:33

up. Um going to any good trips recently?

21:35

>> I'm going to uh I'm actually going to uh

21:38

Tulum next week. We are doing my

21:40

management team uh we are al always

21:42

doing every six months and offsite in a

21:46

really cool place. Half is like we are

21:48

like figuring something out and half we

21:51

are having fun. It's always in fun

21:53

places. This one will be in Tulum.

21:54

>> Why why is it important to hold those

21:56

offsets? Uh I think you know there is

21:59

this management meetings or offsites

22:01

that are more like each manager is going

22:03

and updating I don't know the numbers or

22:05

whatever. I find it

22:05

>> they're on a whiteboard with a pen.

22:07

>> Yeah. I I I I like it like here is a

22:10

problem that we are facing or a

22:12

challenge or something every new thing

22:15

of Navan every innovation every

22:17

challenge that we had we figured it out

22:20

like we are in a swimming pool somewhere

22:22

like sitting and going very very heated

22:24

discussions. Uh and that's why the fun

22:27

is also important because after this

22:29

heated discussion you go you want to go

22:31

and have drinks you want to go to a

22:33

party and we are really good me and my

22:35

management team are really good on doing

22:37

that. So that's why it has to be in a

22:39

place like Tulum or in a we did one in

22:42

Wyoming in a in a ranch stuff like that

22:44

that really combines the two.

22:46

>> What how can someone successfully found

22:49

a business today? Um I think that there

22:54

is a trap right now because the barrier

22:57

to start something to code actually went

23:00

down dramatically. The barrier to market

23:02

something went down dramatically. But I

23:04

think the barrier of being an

23:06

entrepreneur did not go down. So, what

23:10

kind of worries me is that you'll see a

23:12

lot of people kind of trying it out but

23:15

not going for it with all of the ups and

23:18

down because it's so easy to do it right

23:20

now that I hope that people will use the

23:23

tools. It will become more efficient.

23:26

We'll see more innovation but we'll have

23:28

the what it takes to continue uh when it

23:32

doesn't work right when people are not

23:34

coming to your website. Um lastly, as a

23:37

founder of what of now two companies,

23:40

work life balance just been pushed

23:42

aside. Does that even exist in your

23:44

playbook? Um I think in the early years

23:47

you cannot have you you have to

23:49

sacrifice. You have to sacrifice. There

23:51

is no other way to do it. You're

23:53

sacrificing your life, your family. Uh

23:55

I'm divorced and I think it's related.

23:58

Um I think later you have to find the

24:01

balance because if not you will not be

24:03

able I've been doing a noan for 11 years

24:06

without some balance it's just not

24:08

doable. So early years you have to

24:11

sacrifice everything. There are also

24:13

times that you have to sacrifice

24:14

everything. You mentioned the road show.

24:16

>> It's a 24 by7 exercise. Absolutely.

24:20

>> But then you have to uh you know you

24:22

have to come down for a second because

24:23

if not it's not sustainable.

24:25

>> Well good to see you. Uh congrats on all

24:26

your success. look forward to continuing

24:28

to follow your journey and uh using your

24:30

platform here, Yahoo.

24:31

>> Yeah, it's exciting and it was really

24:32

exciting to talk with you. Thank you.

24:34

>> Good to see you. All right, that's it

24:35

for the latest episode of Power Players.

24:37

We'll talk to you soon.

Interactive Summary

Ariel Cohen, the co-founder and CEO of Navan, shares the story of his company's journey in the business travel and expense management industry. Initially motivated by the poor quality of existing travel solutions, Cohen explains how Navan uses machine learning and generative AI to simplify booking, expense reporting, and support. He also discusses his leadership approach, the importance of maintaining an innovative culture, and his realistic views on the sacrifices required for entrepreneurship.

Suggested questions

3 ready-made prompts