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The salient point of this podcast episode centers on the innovative advancements in turbulence detection and management provided by Skypath, as articulated by its Chief Product Officer, Guy. Throughout our dialogue, we explore Guy's fascinating journey from flying fighter jets to developing software solutions that enhance aviation safety. The conversation delves into the critical role of data in improving real-time turbulence reporting, which significantly contributes to passenger and crew safety. Additionally, we discuss the evolution of Skypath from a basic turbulence data app to a comprehensive platform that integrates multiple data sources, thereby ensuring a safer flight experience. This episode offers a profound insight into how technology is reshaping the aviation landscape, ultimately aiming to enhance the quality of flight and ensure the well-being of all aboard.
Pilot to Pilot is the podcast for anyone who flies — or dreams about it. Host Justin Siems sits down with airline captains, bush pilots, CFIs, and everyone in between for honest conversations about the path to the cockpit, the grind of the career, and the love of flying that keeps us coming back. Whether you're a student pilot chasing your first solo or a captain with 20,000 hours, there's a seat for you here. New episodes weekly.
Episode 331 of the pilot the
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sporties.com sxmoffer My name is
Guy.
I'm the Chief product officer
at SkyPath.
In my background I flew F15, I
flew F16, so I'm a pilot in the background
and today I bring both my
passion for aviation and product
into Skypath AV Nation.
What is going on?
And welcome back to the Pilot
the Pilot Podcast.
We are back with some more podcasts.
I do apologize for the lack of
podcasts for the last couple weeks.
I can explain more in a couple
weeks but just be on the lookout
for that.
AV Nation this is a great episode.
It is a Skypath episode with a
guy who is their cpo.
It was a lot of fun to talk
with him.
It was really cool to hear his
story, how he grew up wanting to
be a pilot and how he started
flying fighter jets and basically
how he made the transition and
figured out his love for software
and what he can do with that
software and how he got the skypath.
We also talk about Skypath in depth.
We talk about where the data
comes from, where the data goes,
how they get the data, machine
learning and most importantly we
talk about how it's A tool for safety.
It's a tool for your safety
toolkit and letting you make the
best decision possible.
It's a great episode, one that
I'm very excited to share.
Please subscribe to Pilot the
Pilot on Instagram.
You can go ahead to YouTube.
This will be on there as well.
Share the podcast with
everyone you know.
As I always say, you never
know, maybe they'll become a pilot.
But AV Nation, I hope you have
a great day.
Without any further ado,
here's Guy from Skypath.
Hey, Guy, how you doing?
Great.
How are you?
Pleasure to be here.
Thank you.
I appreciate it.
Shout out to Noga.
Shout out to Maya, everyone
getting this all put together.
So we are here to share your
story and to talk a little about
an amazing app called Skypath.
I've done an episode with
Maya, so if no one's listened to
the pilot podcast before, this
is the first one you got.
You're in for a treat.
And then you can also go check
out the Maya one after this to really
understand what Skypath is all about.
But today we are here to talk
about Guy and Skypath.
And I want to start with you.
I'm always very interested to
see how people outside the United
States find love for aviation,
become pilots, kind of find the aviation
bug, because obviously I'm in
the United States, you know, what
you're used to is kind of
similar stories, similar kind of
paths, progression to get to
where they are with a couple differences
here and there.
But for you, what was it that
got you into aviation?
What got you wanting to fly?
Yes.
No, that's a great question.
I do have in my family some background.
So my father was a pilot, my
uncle was a pilot.
So it was around.
Right.
And outside of the US and
specifically in Israel, it revolves
around military.
Usually you can start earlier,
but I started there.
And once I got the exams to go
to the flight academy, I was very
curious and intrigued to learn more.
And I think once I started,
and it's hard, right?
The flight academy is hard and
challenging throughout the years,
but I think as years went by,
I was more and more into it and it
was a great experience.
Both challenging as well as rewarding.
I think so, yeah.
I think that's shortly how.
How I got into it.
What age were you when you
first got into it?
I mean, you mentioned your
dad, but was it kind of like as early
as you can remember?
Like, I want to be like my
dad, I want to go fly airplanes.
Or was there a specific moment
or a lot of people say when they
Watch Top Gun for the first time.
They're like, hey, I want to
be a fighter pilot.
So I did watch Top Gun, and I
had it, you know, again, I had it
in the family, so it was
definitely there.
But I think that what changed
is that when I started.
So when I started flying, I
think that's the.
The point where I said, okay, that's.
That's amazing, and I want to
keep doing it.
Yeah.
I mean, it's hard not to.
I have a similar.
I'm not a fighter pilot, but
aviation was my family.
My grandpa, my dad were both pilots.
I played sports my whole life.
I made it what we call
Division 1, collegiate level here.
So I made it to the Division 1.
My first couple of days there,
I saw the other quarterbacks in the
room and I was like, all
right, you guys are way faster than
me.
Stronger arms, taller,
stronger everything.
I was like, oh, man, I need to
figure out what I'm going to do with
my life.
And then I took my first flight.
And similar to what you were
saying, it just felt right.
Like, I was like, all right,
this is actually what I need to do.
And I noticed that, like, my
love for sports kind of shifted toward
flying, and I just wanted to
fly and I just wanted to focus on
my career.
Obviously still love playing
sports, but I wanted to go ahead
and make this happen.
So it's crazy when people say
it's, like, kind of cliche, but,
like, you just, you know, when
the bug hits, like, it just hits
you and there's nothing you
can do to get it out.
Like, you just gotta go full
force and go do it.
Yeah, yeah.
Did your dad.
Was there any general aviation
in your life at all?
Was it any going up at 172s?
Did you have that experience
growing up, or was it just the Academy?
Was your first go at flying?
No, it was actually the
Academy that.
That's the first time.
Yes.
So I just knew about it and.
And I was familiar with it from.
But yes, the first time was
starting with the small ones during
the academy, up to the big
ones once I finished successfully.
Perfect.
And then what was the
application process like?
And was there a time where you
were like, there's no way they're
going to select me.
Like, there's no way they're
going to select me.
So the statistics are not in
your favor to begin with, really?
There are so many candidates,
and I was fortunate enough to, you
know, to get into the exams,
and then I think it was just a step
by step.
So, you know, you're doing
your best and you're saying, yeah,
I will, probably won't finish
because the statistics are again,
it's hard.
But then you're passing one
test and you're passing another test
and then you started the
flight academy and then a half a
year goes by in a year and
another one and then at the end you're
saying, and you're coming into
understanding that it's, you're going
to finish this and it's a big,
it's a major milestone.
Then once, once you're done,
you're, you will continue the service.
I continue the service for
nine more years.
So the flight academy was
three years and then nine more years
of, you know, the day to day
job as well as flying different aircraft
and doing different positions.
So it's a very big, I would
say commitment as well as, I would
say also it's, it's an amazing
opportunity and an honor, you know,
to also serve and do something significant.
And both, I would say the
passion, but also eventually you're
doing something operational.
So there's a big impact there
within this service.
I was fortunate as well enough
to also start working on the software
of the aircraft and started to
think about how can, you know, what
are the problems there?
And, and how can you improve
things in, in the aircraft?
So that, that was the first
angle I would say into product management.
I always had passion for, for
physics as well, since my childhood
and I enjoyed just dissembling
things and building things.
So I guess that was the first
touch point into as well as when
I also fell in love with
product and solving big problems
and how it's best to solve it.
So that was part of the
experience that I think was very
exciting to see it in both sides.
So you know, envision the
challenges or the aches and the problems
that you're encountering the
day to day and then you have the
ability to actually think how
can we solve it better, maybe improve
the software worked on the
software of the aircraft of the F15
that I flew on the head of display.
So improvements like that, it
was, it was amazing to see the, the
impact there.
A few years later.
Once you saw what you worked
on operationally, what would you
say as someone.
Who has never flown before
coming into the Academy?
What was the most challenging
part for you in the academy?
Was it the academics?
Was it the flying?
Was it getting into maneuvers?
Kind of talk a little bit
about that.
Sure.
So I think in general it's
psychologically challenging.
I would say there's a lot of
competition and There are many candidates
and you just need to be and at
least be the best version of yourself,
right?
So you might not fit and
that's okay.
It doesn't mean you're not good.
You might be good at something else.
And I think they're looking
for a few specific, I would say skill
sets.
But the main challenge is that
it's packed with things you need
to learn fast, you need to
adapt, you need to be a team player.
The academy is, is I would say stressed.
So as, and you're young, right?
You're 18 years old and then
going into, into this path and, and
it's stressful and you have a
lot of challenges that you never
encountered in an environment
that, that is new and you still need
to, I would say to deliver and
in this kind of situation.
So I think that the
combination of things, of both learning
new things, both the flying as
well as the academy, as well as the
more military standard
navigation and everything.
So a lot of things are packed
into pretty.
It sounds a lot, but it's not.
They put a lot into these
three years and you're always eventually
keeping scores and you
understand that you're always being
tested and you still need to
be in this environment that the best
version of yourself.
So it's hard.
I like how you said the best
version of yourself because I feel
like in competition, even not
inside of your career, but just living
your life, it's always try to
compete with yourself, try to be
the best that you can be.
When you start comparing
yourself to others, that's when things
can unravel very, very fast.
Because there's always going
to be whether you're the best right
now, there's always going to
be someone younger, someone better
looking, someone better than
you, some more faster.
That's what I learned when I
was playing football.
But like you can take that
through your whole life, just focus
on yourself, do the best that
you can be and just continue to get
better day in and day out.
And it's going to, it should
be good enough.
My light died.
But it will be good enough for
what you.
If you put in the effort and
if you can go to sleep at night knowing
that you tried your hardest,
you're going to be able to have a
good career and look back and
be happy on what you achieved.
I agree.
And it's hard to, to I guess
get this insight when you're young,
right?
So it's, it's challenging
throughout this.
You still look at, on the
side, on the right and left and say,
I need to be number one.
And I have to.
But I think over time you
understand, you know, your strength,
what you're good at, what
you're not so good at, and maybe
that's okay.
Right.
But, but it's a very
competitive landscape then the flight
academy and everything after that.
And I think that's the main
challenge to, to keep your head up
and, and finish it and finish
it successfully and, and, and trying
to be the best.
Yeah, well, it's kind of like
a science for, for them picking who
can be a fighter pilot.
Because one, you have to perform.
They need people to perform.
So eventually you have to do it.
You have to be able to pass a checkride.
You have to be able to pass,
but they're going to push you to
as far as they can push you
without pushing you over the edge
to breaking you.
That's kind of the main point,
what I've seen in all training and
being able to do that in a
good environment where they can foster
kind of creativity and you
focusing on what you're doing sometime.
From what I've heard, I'm not
in the military, but military can
show a little bit of tough
love every once in a while, so the
screaming can motivate you too
as well, but not necessarily always
a thing anymore, which is kind
of interesting to hear.
But yeah, it's kind of like a
science for them.
They're figuring out they're
trying to get the best out of you
and they have a lot of money
invested in you.
So I think another thing,
whenever someone's going through
training, they want you to
pass like they do not want you to
fail.
One, they're going to lose a
lot of money, which a lot of times
governments and are really
worried and companies are worried
about.
But two, they want you to do well.
They want you to be here.
They chose you for a reason
and they believe in you.
So believe in yourself.
Yeah, yeah, I agree.
Yeah.
As you are transitioning, kind
of figuring out that like, hey, like,
I'm really good at this
product stuff too.
You know, it's like I got a
passion for this too.
What was kind of your pathway
to where you are now?
So as we opened up the
podcast, we talked about how you
work for skypath, how what was
the in between of you figuring out
that you liked dealing with software?
And I don't know if
headhunting is the right word or
if it was like a LinkedIn
message or how did it work out to
where you got today?
Yes.
No, that's a great question.
And I Think it started during
my, as I mentioned, with the opportunity
to look at the software and
the hardware of the aircraft I was
flying and the ability to
specify, to think about a problem
and to solve it.
I think it started there.
Then I started an MBA and I
met an amazing founder that I joined
his company afterwards as a
product manager.
So I had again, it was, I
would say it was luck that we met
but I grabbed this opportunity
when I had the chance to join this
company because there were two
amazing founders, exceptional team
Liad and Umbri Dynamic Yield
this company.
I learned how to build
exceptional software there.
For four years.
The company was acquired by
McDonald's and then MasterCard later
on.
Amazing people, amazing talent.
And I continued to, you know,
my path and to continue to fall in
love with product management
and the ability to look at problems
and how is the best to solve them.
To delight the users and bring
great products to life, but also
serve the business and the
needs and make an impact.
So then what happened is that
through friends and airline connections
I got this opportunity to join
Skypas at an early stage.
And when I heard about this
opportunity and the problem and what
they were doing, it felt like
that's what I need to do.
So bringing both my passion of
aviation and product and continue
to build this amazing product
of Skypath.
So that's, I would say the
path that I went through and then
getting into, into Skypath.
So I'm here for more than than
four years already leading the product.
Yes.
And enjoying every day still.
Yeah, I mean it's a great
problem to solve.
You said you liked being a
problem solver.
And I always tell people this
when, when people ask about flying
and then like turbulence, I'm
like, you know, the pilots don't
enjoy the turbulence either.
It's not like we're going into
the turbulence like riding a horse
and having a cowboy hat on.
It's not like we don't want
the turbulence as much as you don't
want the turbulence turbulence.
So it's like we need something
to help out here.
So seeing that there was
someone working on something like
that, that's a problem for, I
mean, millions and millions of people.
We say that because passengers
in the back, not just the pilots.
Because skypath can be used
for business, it can be used for
ga, it can be used for
airlines and everything in between.
But talk about seeing this
problem solving opportunity in front
of you.
Was it something that you're
like, oh my gosh, this is perfect
aviation meets turbulence
detection and I can help people.
Was this Kind of like a match
made in heaven for you and you jumped
at the opportunity.
Exactly.
I mean it was exactly like
that because you know, it was, I
was familiar with this problem
and ride quality or turbulence is
getting worse.
So there is in fact worsening
in the turbulence and more and more
turbulence over time.
And that's the number one
injuries, effect or reason.
And it impacts billions of
lives every year, both passengers
and crew.
And when I heard about this
problem, which is pretty simple,
like Waze or Google Maps,
crowdsourcing concepts using the
iPad only, a software only
solution to collect and display in
real time where there is turbulence.
It was simple enough to
understand and to talk about.
Very smart behind the scenes,
but smart enough also to get the
insight and the data and to
help the pilots and the entire ecosystem.
And it's a real problem.
Right?
It's physics, it's
meteorologic, it impacts lives, it
impacts really the everyday of
the airline operations.
So I think that the
combination of both aviation a real
problem that is a real pain
that was not solved, I would say
good enough until recently.
It was a moment that I knew
that I had to take it and join this
amazing team and just to continue.
And since then we've evolved a
lot at this moment.
And again I'm here for more
than four years and every day I wake
up in the morning, I'm happy
and still challenging, but it's rewarding
and I think it's.
I'm happy that I made the decision.
In your four years being at
Skypath, how have you seen a change?
I mean has technology helped out?
Whether it's chips and iPads,
has it been software designed by
your team?
Just general ideas of how you
can improve this data and how you
can get this data to the
pilots real time.
Talk a little bit about what
skypath was when you first arrived
and where skypath is now and
then future if you want to.
I don't know if you want to
spill any special tea or anything
but like just kind of where,
where it was, where it is and kind
of what the, the main goal and
providing just a safe option for
pilots, for dispatchers, for passengers.
Yes.
So when I joined I would
describe it like that.
So it was a, an iPad software
for pilots sense and display data
where there is turbulence in
real time.
And we started there and we
upgraded into several paths.
So from the data perspective
we had so much data already.
As we grew and added
additional users, additional airlines
using the product, there was
an opportunity to harness the technology
of machine learning, the
evolving compute power as well as
the data sets that we had.
And we built our own machine
learning prediction model of turbulence.
So we were not only dependent
on where there was an aircraft to
report where there isn't,
where there isn't.
We utilized the vast amount of
data that we have today.
We already have 9 billion
reports a year.
But we did it two years ago
when we had a lot of data already
and we built it from the
ground up.
And we took weather parameters
and more complex physics parameters
and joined them with the data
of where there actually was.
So that's unique of both
building the model and validating
that it works.
And we see an amazing accuracy.
And now we bring 100% coverage
at all flight levels, complemented
and joined by where there is
and where there isn't in real time.
So a mesh layer in this sense.
We then continued add
additional data sources, for example,
pilot reports, EDR reports
from the aircraft.
We took the box of the ADSP
and from the vertical rate we derive
turbulence today and we are
able to show and increase the coverage
significantly.
And then we took the challenge
of data overflow.
Right.
So we have so many, so much
data already.
How do you package it in a way
that is still actionable?
Still we want to keep it simple.
This signature hexagons of
color coded between yellow and orange
and red.
And saying to the pilots or to
the dispatchers, in 10 or 15 minutes
there's moderate turbulence.
You can take action, you can
try to avoid it or you can tell the
seatbelt sign and just get
everyone seated and safe.
Right.
But there are so many data
sources behind it.
So we brought the two levels here.
So the first of all is just
get your attention of the hazard
ahead.
But if you want to dive
deeper, you can and tap on it and
learn which data sources led
to the decision.
Because pilots do want to know
where this information came from.
Trying to balance between a
complete black box, but also have
some kind of transparency and
user control and building the trust
around the data that we bring.
So that's a challenge, but I
think we solved it very well.
And we also.
Sorry, no, keep going, keep going.
Yeah, I would just describe
one more thing around the ecosystem.
So we started with the pilots
and we added a dispatchers web application
to provide both flight
following and flight planning where
the capability to debrief.
So we get these kind of
questions from airlines.
We had an incident last week
and or yesterday or three days ago
and we want to learn better
what happened.
So we bring the capability to
go back in time and understand the
full story of A flight, what
information was available, what the
flight actually experienced
and ideally to learn and to try and
better understand could have.
We have done something better
to try and avoid it.
And we added a layer as well
for flight attendants.
So to communicate within the
cockpit and the cabin discreetly
even before the public announcement.
Again, not to overwhelm the
passengers and for the anxious passengers
trying in a bit, manage the cabin.
So.
And we have a few things ahead
that I'll talk about, of course,
but that's eventually where we
evolved from the crowdsourcing concept
into predictions into
additional data sources and expanded
the ecosystem from pilots to
dispatchers to flight attendants,
et cetera.
So I would say a revolution
from turbulence information to.
Right.
Quality meshed data into the
first in market end to end turbulence
mitigation platform for the
airlines as well as for business
aviation.
Absolutely.
I think it's just, it's so
important to have another kind of
tool in your safety belt.
Right.
Or in your toolkit just to
have more information.
As a pilot, having all the
information you can, you know, it's
like you want to see what the
trends are, you want to see what
other airplanes are seeing.
And it's cool because you can
tap on it and you can see how long
ago that was detected because
obviously it was an hour ago, you
know, maybe the turn and
there's not been no new reports then.
It might be okay now.
So you have so much
information at your hands.
You can see the type airplane,
you can see who it was and you can
go in there and just.
I love the color codedness
too, is so, it's so easy to read
and just be like, oh, all
right, yeah, let's, let's turn right,
go that way, let's get away
from there.
And one thing that we talked,
we talked about turbulence and how
it's getting worse.
What's hard for a lot of
people and even like new pilots or
pilots in general is like, we
all can associate turbulence with
thunderstorms.
Like that makes sense to us.
Right.
But when we're just flying in
clear blue sky and all of a sudden
you're just getting bounced
around, it's like, all right, why
is this happening?
So having the ability to kind
of understand like, hey, okay, it's
nice outside, but yeah,
there's still the jet streams doing
something weird.
And we might not have the
ability to see it, but the app is
detecting it through the
previous aircraft that went in there.
So, you know, and like you
said, you can throw the seatbelt
sign on, the cabin crew can
communicate with each other or if
your dispatch is on the app,
they can be like hey, a cars message
or if they can message the app
be like hey, there's some turbulence
ahead.
We actually are recommending
you go toward this point and then
you can all make it work.
And it's a collaborative
effort between a whole team to focus
on the safety of the flight.
Yes.
And it's great that you
mentioned that.
It's even more than that.
It's even not only an aircraft
that went through it.
The prediction or the
predictive model knows also how to
predict clear turbulence,
whether it comes from the trims mountain
waves.
So it also knows how to
predict convection or convective
turbulence.
But that's easier for you as
you mentioned to know or maybe use
the radar.
But I think the really
terrifying area or the I would say
the challenge for the existing
forecast is the clear air turbulence.
And this is something we do
very well and I think in general
I'm very proud and we're very
proud with the impact.
So we do see a reduction on injuries.
With one of our major airlines
we saw 40 to 50% reduction of injuries
before sky path implementation
and after.
So it really brings a real impact.
And we are continuously
working on both the data improvements
as I mentioned, but also how
we can provide you with the best
tools out there for the pilot,
for the dispatchers, for the flight
attendants, for communicating
with the passengers and trying to
really be the only tool you
need or the must have platform.
Absolutely.
And I think we're getting there.
I think you can't avoid the
fact that ride quality is getting
worse and it's top of mind
today with airlines and with the
pilots.
And I believe it's going into
a must have a tool to both mitigate
that but also to bring the
best service.
I think that and you know,
it's based on the research and what
we learn and understand is
that passengers expect both a safe
flight, they count on you.
Right.
But also they expect a great
service and there is kind of trade
off.
I don't think you can turn on
the seatbelt sign for the entire
flight.
Right.
Because passengers won't
accept it.
So I think that the airline or
the pilots who will win eventually
or the competitive edge here
will be bringing the safest flight
but also the best service.
So sitting you down in
communicating in 10 minutes there's
going to be turbulence and
it's going to last for five minutes
and then it will stop.
And this is something that I'm
flying a lot in in the United States,
you know, visiting the
airlines and the partners and we
sometimes hear that and we
know where it comes from and when.
When it happens so well and so granular.
It feels safe.
Right?
It feels like a great.
That the crew got.
Got you covered and I know
there's a lot of anxious passengers
and yeah, that's what we're
trying to do.
We're trying to help the
airlines communicate it better, you
know, and both provide the
safest flight, but also the best
service.
And to increase the NPS scores
and to increase the satisfaction
and the loyalty of the
passengers, I would choose an airline
that uses these best tools for
this aspect.
So I think it's going there
and that's what we're hearing, that
it just becomes a must have
and, and we're very proud with what
we've done, but we're
definitely continuing to work and
we have some exciting things ahead.
The idea of turbulence
detection isn't necessarily a new
thing.
Everyone kind of hasn't, like,
how can we detect this?
You guys actually solved it.
And skypath is able to do that.
Do you think that's possible
because of where technology is today?
Like say if there wasn't an
iPad or with the accelerometers with
the chips that they had right
now, what would skypath look like?
Is it dependent on this or do
you think there's a way to detect
this without say, an iPad or
the technology we have right now?
Yeah, no, that's a great question.
And I think the main.
So there.
And we see today, right, you
know, with generative AI and so technology
unlocks new ways to solve problems.
So the problem of turbulence
was there for a long time and there
were different solutions.
I'll give you one, one
example, an implementation of an
algorithm on the aircraft.
The problem was that it
requires an actual implementation
on the aircraft.
But I think that the fact that
the iPad got into the cockpit, that
was a, a technical upgrade.
I would say that brought
additional innovation into the aviation
industry and I think it's a
great one because we were able and
we are able to sense tubulence
using it.
But I think there could be
additional things that can be done
with the iPad.
And we see great apps using
the Apple hardware and definitely
the machine learning and the
compute power that can enter the
world.
Improved forecast, it will
improve the ability to predict.
So definitely I would say that
the technology here in skypath that
started using the sensor, but
today's Karpath is more than that.
Right?
It's a, it's a data company
that is based on all the data that
we have but we're able to
already take additional sources and
being you know the, the one
place to come for right quality data.
So not only the hyper but
additional data sources, the predictions,
the interface that we bring to
the pilots, to the dispatchers, to
the flight attendants.
So it evolved from a real
problem with the new technology but
continues to innovate and
based on new technologies but also
just delightful interfaces.
So I think these are the main
things that I think I appreciate
it.
I think that the team is doing
here an amazing job and yeah I think
that's the evolution and we
have so many things that we're still
working on.
I'll give you just a few
around data, bringing additional
data sources and improving the
prediction model around the consolidation.
So we have the one layer that
consolidated different data sources.
So always working on improving
the algorithm there and a few things
that will release soon is the
new web interface we worked and we're
going to soon launch a
completely new web app for dispatchers,
for safety and risk teams.
Everything that I mentioned
around flight planning, flight following,
the ability to brief analytics
and bi as well predictive insights.
So things we are working on
based on the data that we have but
bringing the best in class
data into the hands of each and every
stakeholder in the aviation to
manage the day to day from the tactical
perspective but also from
strategic perspective.
So many, I would say many
exciting things that are coming very
soon and later this year.
Sweet.
So hopefully we can talk about
it more on the next chapter.
Justin here.
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pilotopilot and now back to today's
episode.
I do have like a slightly
nerdy question about the data itself.
So like say I'm at three seven
zero I get turbulence, the app picks
it up.
How does that like where does
the data go?
So the app is connected to say
my iPad's connected to wi Fi.
Does that get sent to a server
and then gets re uploaded or is that
something that is shared in
like a cloud server?
Kind of talk about like where
that information go.
Like it comes from the iPad
and gets to every other iPad.
But how does it get there?
Right?
This seems magic to the pilot
itself, but what's the process of
the data getting to where it
needs to go?
So the pilot, the cabin crew,
the dispatch can see that information?
Sure.
So it starts in the iPad.
We have a pattern algorithm
that tracks the turbulence and knows
how to filter noise.
Already on the iPad side,
looking into when the pilot is moving
the iPad from the mount and
putting it back, we pause the recording
if they're doing emails, which
they shouldn't, but.
But we know that and we know
how to filter it out.
So that's one part.
The second piece is if you're
connected, it goes in real time into
the server.
The server also looks into
additional noise filtering.
We normalize the paragraph
type, as you mentioned.
So Whether it's a 737 or 787
or Neighbors 350, the data comes
in differently and also
displayed automatically to the user
pair the aircraft type, so
they don't need to think, wait, that
was a 73 that went through
this area I will probably experience
differently.
No, so it does it
automatically, it goes through the
servers and then distributed
to the entire ecosystem, to all the
apps and to the integrated
apps and to the web app automatically.
And it happens, I would say in
a few tens of seconds.
So under a minute, all the
data is normalized, filtered and
distributed.
There could be cases where
you're offline and then first you
can download information
before you're flying.
And it's super relevant both
to predictions as well as the data
that is available.
And the data is still
collected, but will be sent to the
server after you land when
you're reconnected.
So that also happens automatically.
And there are a few additional
things, you know, with, with the
cabin crew or the flight attendants.
It connects also through the
servers and being distributed.
But yes, there are many moving
parts, but we're trying to keep it
as simple and intuitive as
possible to the pilots and to the
users.
Do you know how many data
points you get in a certain flight?
Is there like an average like
you get?
I'd imagine the amount of data
you can receive from a one hour flight
is just mind boggling and like
a number that probably we can't even
comprehend and like visualize.
But is there kind of an
average you get on a one hour flight
or two hour flight?
Do you have that kind of information?
Yes.
So we are also very, very, I
would say, tentative to the concerns
around network bandwidth.
Right.
So there could be concerns around.
So how much data comes in and
comes out, because summary lines
and some, you know, when
you're connected, it might cost you.
So we are doing a complete
optimization in regards to that.
Only sending updates.
So the reports that are going
down are very light.
The data that comes in, you
can narrow it down to only your flight
path, and then only the
updates are being sent to you.
So it could be hundreds of
kilobytes or a few megabytes per
an entire flight.
So you can choose, basically,
if you want to see the entire world
because you're curious and you
don't mind around the network and
then it's not that heavy
megabytes, but you can also narrow
it down only to your route and
then it goes down dramatically.
So we're also keeping that in
mind, trying to balance between the
vast amount of data that we
have and share, but also making sure
that you get and you are able
to control, I would say that the
amount of network.
If you're concerned with that
aspect, it's super interesting.
As a pilot who's using an
application, we don't think about
everything you're talking
about right now.
All I see is the beautiful app
that looks good and is easy to read,
but you don't see the hours
and days of work, then the coding
and everything.
Everything is that someone
probably ripping their hair out trying
to figure out how to get this
color, just the right color and make
sure it's not the wrong color,
red for severe turbulence.
But it's really interesting to
learn behind the scenes of applications,
how things are put together,
how you can get a machine to learn
this, how you can harvest the
data and keep it in a way where it's
not going to overwhelm any
systems or overwhelm anything as
well, to keep costs down.
Because that's not something
you think about as a pilot.
You just think about, I need
to make the information.
But as an airline CEO or as a
cfo, you're like, all right, what's
the cost?
What's the cost?
All right, I need to make sure
it's as cheap as possible.
You know, there's just things
that pilots don't mean.
Maybe some pilots do, but me,
I don't always think about that,
which I think is really cool.
And I appreciate you coming on
to share that and talking about what's
in the future and what it can be.
And I would imagine the harder.
I mean, I'm going to ask you
what the hardest part for you has
been.
But the hardest part in the
beginning was you needed the data.
Right.
Like you have this amazing app
to like now we need the airlines
to give us the data so we can
continue to improve this app itself.
So I, I would imagine once you
just had the first couple flights
and the data started coming
in, you're like, oh my gosh, it's
working.
This is amazing.
Yeah.
Yes, exactly.
So it's like a network effect, right.
When you have more data and,
and pilots in, in airlines see the
value they're joining.
Yeah.
And then once the prediction
came in, we didn't have any, I would
say, any additional barriers
with the coverage.
And now we have more and more
data sources and basically global
coverage.
So yes, now the challenge is
the data overflow and how to bring
only what's relevant in.
Something that's actionable,
intuitive and simple, but also get
the best right quality data
out there with all these kind of
constraints and limitations.
They say the online and
offline and sharing.
Even between iPads, we're
doing peer optimization sharing.
If there are two iPads in the
cockpit, there is an option to share
the data and only download it once.
So a few things around this aspect.
So yeah, I would say that
that's the initial challenge we had
and now there are other
challenges around how to simplify
everything and make sure it's
intuitive and bringing additional
insights and additional, even
more strategic decision making tools
and just continue to work and
help the operations, help the day
to day pilots and mitigate it,
bring the best data to reduce the
injuries, improve safety and
bring the best service they can.
Absolutely.
So, yeah, my last question for
you, and this may be the answer,
it's a two part question.
The answer may be the same.
What, in your four years here,
what has been kind of the most difficult?
Or like just like I cannot get
this, like my, how do I get this
to show up right?
How do I fix this situation?
How do I fix this problem?
So what's been the most
difficult part of the application
or presentation to show the
pilots about turbulence?
And then what's been the most
like satisfying?
Like I, I finally did it, like
maybe something that it could be
like choosing the right color
or it could be something maybe not
as impactful to what a pilot
might see, but as impactful in what
you all see.
The main challenge is to, I
think it's the same for every software,
right.
So there's so many things we
want to do, so many requests that
we get on a daily basis and
keeping this kind of, I would say
North Star of where we're
headed and what is the highest impact
of what we can do to touch
the, and make sure that we solve
the major problems and really
help the industry.
And that's a day to day challenge.
But we're trying our best to
do that.
And I think in this sense, in
this matter, I think what I'm super
proud we did is two things.
One, that we were able to
derive additional data source from
the ADSP vertical rate,
something that took us long time
to do.
We utilized our iPad algorithm
and all the data we had to correlate
and get it out and
significantly increase the coverage
and bring much more
observations than ever.
And we're the first in market
to do so.
And it's a groundbreaking
update that we managed to do and
broke it down to the market recently.
And the second piece is the
consolidation of the different data
sources.
So taking the Skypath
observations, the EDR data, the Skypath
ADSB vertical rate and the
Pyrops and Skype was now casting
predictions and how to combine
it together into a single layer that
is both actionable as well as
easy to understand but still provide
you with the right balance of
observability and ability to understand
what's behind that decision.
And not having a complete
black box.
That took us a while to, you
know, to find the right balance.
With the airlines that we're
working with, with the partners with
our team, it was a very big
effort to find that right spot.
Right.
And we're very proud with that.
So I think these are the two
main things and in addition of course
to everything we did so far
with the predict and our models.
So.
Yeah.
And so many things we're still
working on.
So I had to pick something.
I lied.
This is now the last question.
Something popped up in my head.
But this will end on this one
right here.
Let's just say we're in the elevator.
I'm a CEO of an airline.
Your luck was just perfect.
You've been trying to get a
hold of me forever.
What is a good elevator pitch?
If you have one like a two
minute pitch like hey, I'm guy from
skypath.
This is why I think you need skypath.
What would you say?
I would say ride quality is
getting worse, forecasts are not
adequate and SkyPath is the
number one data source to bring you
actionable insights and is
proven to reduce injury is to improve
the service, to improve the
NPS scores and the loyalty and it's
just a must have.
You just can't continue with
your day to day without taking it
Otherwise you lose your
competitive edge.
That was.
I would, that's what I would
say to anyone today.
Yeah.
Oh God, thank you so much.
You just, you know, will just
lose the advantage over time.
Oh, 100%.
I truly believe it.
And that's the situation today.
Yeah.
Perfect answer.
I love it guy.
Thank you so much for coming
to the podcast.
I appreciate your time.
Like you said, chapter two,
we'll get no go, we'll coordinate
it and we'll have you back on
because it's a lot of fun to talk
to you and I feel like we
could just talk forever about just
how the app works because I
think that's super interesting.
I also think it's really
interesting that from what I've heard,
and I don't know if you
actively call it this, but you mentioned
Waze and, and some people have
heard it say it's Waze for kind of
airplanes.
But Waze was also originally
an Israeli company as well, which
it's kind of interesting that
two similar concepts of crowdsourcing
and data sharing.
So you guys are doing
something great over there.
So you have that down packed
and you're making a great app and
I truly see the need for it.
And your elevator pitch is
spot on.
So you're doing a great job.
And shout out to the team and
I I hope that continue to to do an
amazing stuff and continue to
help make everything safer.
Whether it's from the start of
the flight of flight planning, to
the dispatcher, to the flight
attendants or to the pilots making
real time decisions and just
improving safety.
So thank you all for making
that making our lives easier.
Thank you.
Appreciate it.
It was a pleasure to to be here.
That's a wrap on today's episode.
Thank you so much for listening.
I hope you're having a great day.
Guy was great to come on.
Great to talk about Skypath
and always love talking with innovative
companies to hear what they
have to say and just to see innovation
come into aviation and try to
make aviation better.
So thank you for listening to this.
I truly appreciate it.
Check out Skypath and
everything we talked about in this
episode and also go listen to
Maya's episode, she's the CEO of
SkyPath.
To hear some awesome things
from her as well.
AV Nation I hope you're having
a great day and as always happy flying.
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