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Is India buying security at the cost of sovereignty? In this episode of Tech Today, we break down the math and the machines behind India’s massive deal for 31 American MQ-9B Predator drones. A single contract is worth more than the total funding raised by India’s entire drone startup ecosystem last year. While the "SkyGuardian" is a masterpiece of engineering capable of watching our borders from 25,000 feet, it raises an uncomfortable question: Why is the world’s back office still "window-shopping" in Washington for its own defense? PART 1: THE BIG TECH STORY - THE WAR ECONOMICS OF DRONES We dive deep into the "Asymmetry of War Economics" where cheap disruption is winning, and where India is in the race right now. The Tapas Struggle: Why DRDO’s homegrown "Predator" was reclassified as a technology demonstrator. The "Foreign Soul": The hidden risks of "Kill Switches," mirrored servers, and maintenance lock-ins when using imported tech. The Bengaluru Challenger: We get exclusive access to Flying Wedge Defence, the startup building the FWD-200B1 - India's first military-grade bomber UAV with a 2,000km range and zero foreign code in the cockpit. PART 2: TECH & YOU - THE DAWN OF PHYSICAL AI Beyond the battlefield, the way we build is changing. Most industrial robots are "dumb". They fail the moment a task changes by even a millimeter. We visited CynLr, an Indian robotics pioneer, to witness "Object Intelligence." Real-World Reasoning: Watch a robot analyze, texture-map, and grip unknown objects in just 10 seconds, a task that used to take months of software training. Global Collaboration, Indian Brains: How CynLr is using a global supply chain to build the underlying brain for the next generation of humanoids and essential service robots. About Tech Today: Tech Today is your premier destination for the intersection of technology, policy, and the digital economy. We go beyond the specs to find the story behind the silicon. Share & Subscribe!
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00:14This week's Tech Today show is a special one and I will tell you exactly why.
00:18It's a deep exploration into the drone ecosystem of India.
00:22Now, when you talk about defense drones, they are not just a support system in the air.
00:26They are turning into force multipliers and we are seeing an example of that in the conflict in West of
00:32Asia,
00:32which is why I believe that it's important for every country to have its own drone ecosystem.
00:37And we will try to explore that with a drone startup that is operating out of Bangalore here.
00:43Plus, what is happening with commercial robots?
00:45How are they getting smarter and how are they helping the industry evolve is also another story we will try
00:51to see.
00:52Because these robots are getting more intelligent with this new technology.
00:56Lots to unpack on this week's Tech Today with me, Cyrus.
01:05So, I'm trying to look at the bigger picture over here.
01:07Right now, we are trying to get predator drones from the United States.
01:11Now, each unit costs about 800 crore.
01:13And that's almost the amount of money that if you put into the Indian ecosystem,
01:18the startup ecosystem, you'll be able to fund it for the next five years.
01:21So, that's a lot of money.
01:22So, it forces me to think, what if I take that money and invest it in India,
01:27develop and make everything right here.
01:40These are the drones we are looking at now.
01:43The MQ-90 Sky Guardian.
01:45It can fly from Mumbai to London without refueling.
01:48It can see a man's face from 25,000 feet.
01:52In the business of watching borders, there is almost nothing better.
02:05But here's the uncomfortable detail.
02:07We are the nation that runs the world's back office.
02:11We write the code for Silicon Valley.
02:13We staff the data centers for Frankfurt and Austin.
02:16And yet, when it comes to the machines guarding our own borders,
02:20we are still window shopping in Washington.
02:26So, the idea is clear.
02:28We have the brains in this country to make it here.
02:31So, why are we still depending on alien technology?
02:34And that's exactly why what we are trying to find out in our big tech story,
02:38the war economics of it all.
02:40And how is India propelling forward in the same direction?
02:47Something changed in the last three years.
02:50If you've been watching the conflict zones,
02:52the Black Sea, the Red Sea, the skies above Gaza,
02:56you've seen it happen in real time.
03:02Just from 2020 to 2025,
03:08drones have become one of the principal offensive platforms.
03:13Whether you look at the Russia-Ukraine war
03:15or the Israel-U.S. war,
03:18it's all about drones.
03:19And drones have been evolving through this warfare.
03:22You first saw, you know,
03:25operator-in-the-loop drones,
03:27operators launching drones.
03:28And now, in 2026,
03:30we are seeing the first examples
03:32of autonomous drones
03:34powered by AI systems
03:36which are taking intelligence,
03:38which are taking intelligent decisions.
03:41They are acting on their own.
03:43They are attacking targets on their own.
03:44This is literally the future of warfare,
03:47which is intelligent thinking machines
03:49fighting these wars autonomously.
03:52So this is very clearly
03:53the era of drones has arrived
03:55in a very big way.
03:57An Iranian-made drone
03:58costs roughly $20,000 to build.
04:01Shooting it down can require
04:03a missile worth $2 million.
04:05That's the new math of modern warfare.
04:13Cheap distribution forces expensive defense.
04:16And the more this logic takes hold,
04:18the more drones matter
04:20as intelligence surveillance
04:22and the nervous system
04:23of a modern military.
04:32More eyes in the sky,
04:33fewer boots on the ground.
04:35And if $240 million drones
04:38are crashing these days,
04:40it makes sense to make it cheaper,
04:42doesn't it?
04:46But here's the trap.
04:48When you buy someone else's drone,
04:50you're buying into their ecosystem.
04:52Their spare parts,
04:54their software updates,
04:55and sometimes quietly buried
04:57in the fine print
04:58of diplomatic agreements,
05:00their permission
05:01to actually use
05:02what you paid for.
05:04That's how armed steals begin.
05:06And it means the sky above,
05:08your border might be watched
05:10by eyes with a foreign address.
05:13Take for example,
05:14what happened with
05:15the surveillance industry in India.
05:17All CCTVs that come embedded
05:19with Chinese components
05:20have been taken out of production line
05:22as they pose a threat
05:24to national security.
05:27Similarly, drone manufacturers in India
05:29have been instructed
05:30to omit Chinese hardware and chips.
05:33A good move
05:34to promote
05:35indigenous products at scale.
05:39To be fair,
05:41we tried to build
05:42our own way out of this.
05:44But one thing or the other
05:46always came in the way.
05:50There is a certain limitation
05:53that I see
05:53with respect to altitudes,
05:55ranges, and payloads.
05:57For example,
05:58we have a lot of
05:58multi-drone players in India
06:01who are doing
06:01phenomenally good.
06:03But again,
06:04we somewhere
06:04in our ecosystem
06:06miss these
06:07long-range platforms.
06:09Like what we have
06:10Shahid 136 from Iran.
06:11I mean,
06:12we have been using
06:12Harop and Harpy.
06:13Even Op Sindhuur,
06:14we have used them
06:15to dismantle
06:16the air defense grid
06:17in Lahore.
06:18But one such system
06:19has to be also developed
06:20in India.
06:21While many players
06:22have started the programs,
06:23but it looks,
06:25you know,
06:25as if another
06:26three to four years
06:27we might have to wait.
06:34For nearly a decade,
06:36India's defense
06:37was looking up to
06:38tapas,
06:39DRDO's homegrown predator.
06:41The poster child
06:43for Atmanirbhar Bharat
06:44for defense.
06:45And it was
06:46a failure of ambition.
06:48The engineers worked hard,
06:50but the requirements
06:51were unforgiving.
06:5230,000 feet altitude,
06:5420 hours in the air.
06:56Tapas chopped out
06:57at 28,000 feet
06:58and 18 hours.
07:02In the Himalayas,
07:03those missing 2,000 feet
07:05are crucial to watch
07:06the enemy move
07:07and be invisible to them.
07:09In high-altitude warfare,
07:11it means the difference
07:12between seeing
07:13and being seen.
07:17Tapas has now been
07:18reclassified as
07:19a technology demonstrator,
07:21which is a polite,
07:22bureaucratic way
07:23of saying
07:23it won't fly
07:24in a real conflict.
07:26The dream was real,
07:28but the timeline wasn't.
07:29While a private startup
07:31can redesign a wing
07:32in six months,
07:33a state-run project
07:35can spend years
07:36in committee
07:37before changing a bolt.
07:39Like this assembly line
07:41here at this facility.
07:42Looks bare-bones,
07:44but even then,
07:45it's been able to create
07:46these attack drones
07:47that have successfully
07:48passed several demos
07:50and trials.
07:51But that wasn't enough
07:52to appease the stakeholders.
07:55So, to truly see
07:56whether India
07:57can really compete,
07:58we went beyond
07:59the government labs
08:00and have come here
08:00in Bangalore
08:01to a startup
08:03that is making drones
08:04not only for India,
08:05but also for the world
08:07to see how capable
08:08we really are.
08:11While the headlines
08:12chase high-altitude imports,
08:14the Indian drone
08:15startup ecosystem
08:16is quietly doing
08:17something harder,
08:18building India's first
08:20military-grade bomber UAV
08:22from the ground up.
08:26We have been into
08:27four different domains.
08:29One is this
08:30low-cost interceptors.
08:31We have been working on this
08:32from 2022, in fact.
08:34And we have been
08:35in constant touch
08:36with air defense.
08:37And, I mean,
08:38we have been showing
08:39a lot of demos
08:40and for a period of time
08:41from development
08:42of prototype
08:42to the, you know,
08:44hitting of the targets
08:45even in the starlight,
08:47you know,
08:47in the pitch dark.
08:49So, we have succeeded
08:50that and we have given
08:51a lot of demonstrations
08:52as well,
08:53successful trials.
08:54And on the other part,
08:55we have male UAVs
08:56that you're seeing
08:57right behind us.
08:58So, we have
08:59a small, medium variant,
09:01light variant,
09:02and then a heavy variant
09:03as well.
09:03Light variant is designed
09:04for Army,
09:05which again
09:05has gone through
09:06a lot of demonstrations
09:07and field evolutions.
09:09Recently,
09:10we have also,
09:12you know,
09:13got an achievement
09:14in taking off
09:15less than 60 meters
09:16and landing
09:17in less than 120 meters,
09:19navigating through
09:20a gust
09:20more than 25 knots.
09:23The FWD-200B1.
09:2515,000 foot ceiling,
09:2724 hours of endurance,
09:29a range of 2,000 kilometers,
09:32more ground covered
09:33than any domestically built
09:35drone before it.
09:36And this is just one of the things
09:38that is being made here.
09:41We got to the floor
09:42where they are doing it.
09:44Proprietary carbon fiber molding,
09:46AI-assisted targeting,
09:48flight controllers designed
09:50and written entirely in-house.
09:52No foreign code in the cockpit.
09:54No outsourced brain.
10:00While the assembly line
10:01might not look as high-tech,
10:03understand that these companies
10:05aren't making at scale right now.
10:07Before claiming recognition,
10:09these prototypes and concepts
10:11need to prove their mettle
10:12only because the security
10:14of the nation is at stake.
10:17By focusing on indigenous tech,
10:20these startups are removing
10:21the fallen soul
10:22from our defense platforms.
10:24Their testing shows
10:25that Indian startups
10:26can achieve high-tier
10:28tactical results
10:29at a fraction of the cost
10:30of Western imports,
10:32ensuring every circuit
10:33is made in India
10:35and every byte of data
10:37stays on Indian servers.
10:39Because if you can build
10:41a drone tough enough
10:42for the Himalayas,
10:44you can build it
10:45for anyone.
10:48In India,
10:49we don't have
10:49low-earth orbit
10:51communication infrastructure.
10:52So when we don't have
10:53that communication infrastructure,
10:54we definitely have to go
10:55on Iridium or
10:56say Inmarsat
10:57or any other US satellites
10:59like Starlink,
11:00etc.
11:01but now tell me,
11:04a system that has been
11:05on other satellite,
11:06though they say
11:07there is an encryption box,
11:08which is not a problem,
11:10it doesn't have
11:10a problem.
11:12So all your operations
11:13become compromised.
11:14I mean,
11:15we are choosing
11:16efficiency over security.
11:19That's going to hurt us
11:20very bad
11:21in coming days.
11:25And let's be honest
11:26about what really
11:27is at stake over here
11:29because it goes beyond
11:30the balance sheet.
11:32A drone is a collection
11:34of decisions
11:35made by whoever
11:36wrote the code,
11:37designed its sensors
11:38and controls its software.
11:41If that person works
11:42in a lab in California
11:43or Tel Aviv,
11:44then no matter how many
11:46Indian hands assembled it,
11:48the soul of the aircraft
11:49isn't entirely ours
11:51and the risks
11:52are not theoretical.
11:58Snooping,
11:59reconnaissance footage
12:00beened from your border
12:01mirrored onto a foreign server
12:04you have no visibility into.
12:06Kill switches,
12:07a remote command
12:08from halfway across the world
12:10that grounds your entire fleet
12:12the moment
12:13a diplomatic relationship
12:15sours.
12:16Maintainance,
12:17lock-in,
12:18one denied spare part
12:19and an 800 crore machine
12:21becomes a very expensive scrap.
12:24All these are very real questions
12:28but also there is
12:30I would say serious amount
12:33of localization,
12:35industrialization
12:36which is happening
12:37in the system.
12:38There are communication protocols,
12:41there are chip sets
12:42which are being considered
12:43by the government
12:44to be localized.
12:45Again,
12:46it is not an overnight
12:48process
12:49which can happen.
12:50You cannot just put
12:51a chip set
12:52and start
12:53manufacturing in India.
12:54You need to change
12:55the mindset
12:56which the government
12:57is doing.
12:59When we build here,
13:00the money stays here,
13:01the intellectual property
13:03stays here,
13:04the engineers,
13:05the ones who know
13:06how these systems work,
13:07who can fix them
13:08in the field,
13:09who can improve them
13:10under pressure,
13:11they all stay here.
13:15And that's exactly
13:16what companies
13:16like Flying Wedge
13:18are trying to do.
13:19Master the economic drone game
13:21and give India
13:22the upper edge
13:23in air combat.
13:24But beyond the hardware,
13:26you also need to make
13:27the software
13:28hardware in India.
13:31Today,
13:32you see Rafal.
13:33I mean,
13:33we are taking the jets
13:34but French,
13:37they have denied
13:38the source code.
13:39That's the importance
13:40of the code,
13:42you know,
13:42that we definitely
13:43have to have.
13:44Because once
13:45the code is not in place,
13:47I mean,
13:47if the code is in place,
13:48you can play around
13:49with your aircraft.
13:50Customize it.
13:51Customize it,
13:51a lot of security
13:52protocols on it.
13:53And that's where
13:54you will be generally denied
13:56and you can produce
13:56that here.
13:59Every rupee
14:00of the defense budget
14:01that funds domestic R&D
14:03is a rupee
14:04that builds
14:04the next generation
14:05of Indian engineers,
14:07not the next quarterly report
14:09of a foreign defense contractor.
14:12That needs to change
14:13and we are slowly moving
14:15in that direction.
14:16The push needs to come
14:17from the government
14:18and they need to
14:19seriously consider
14:20developing drones
14:22in India
14:23before it's too late.
14:28So this was a glimpse
14:30of the India drone story
14:31and where we really are.
14:33Remember,
14:33if we have to
14:34garner success,
14:35we need to start
14:36making over here
14:37and be really serious
14:38about it.
14:39And it's just not
14:39the hardware,
14:40it's also the software.
14:41The entire tech stack
14:42and ecosystem
14:43needs to be made
14:44in India.
14:45Yes,
14:46for the short term,
14:47we can get drones
14:48from outside,
14:49we can get the tech,
14:49but in the longer run,
14:51we need to make sure
14:51that the Indian drones
14:53really stack up
14:54to become dominant
14:56across the globe.
14:57And that's exactly
14:58what we tried to show you.
15:00And let us know
15:00what you feel
15:01about the story
15:01and if you really feel
15:03that the Indian drone
15:04ecosystem will fly high
15:05in the future.
15:13Over the years,
15:14we have seen robots
15:15do incredible things
15:17and they have evolved
15:18so quickly
15:18that they are being
15:19embedded into industries
15:21across the world.
15:22However,
15:22the one problem
15:23that they still face
15:24is understanding objects
15:26in the real world
15:27and that's exactly why
15:28we are here in Bangalore
15:30at a startup
15:30that is trying
15:31to solve this problem,
15:33giving robots
15:34the intelligence
15:35to understand objects
15:37and react.
15:38Let's find out
15:39what the story
15:40is all about.
15:46Because the real world
15:47is messy,
15:48unpredictable
15:49and constantly changing
15:51and that's where
15:52a startup like
15:53Sindler
15:53is trying to change that
15:55by building robots
15:57that don't just follow instructions
15:59but actually are smart enough
16:01to figure things out.
16:08Today,
16:09most industrial robots
16:10work in controlled environments,
16:12repeating the same tasks
16:13over and over again.
16:15The moment you introduce
16:17something new,
16:18a different shape,
16:19a reflective surface
16:20or even a slight variation,
16:22they all fail.
16:29That's because robots
16:30don't really understand objects.
16:32They are trained for them
16:34and that training
16:35can take weeks,
16:36sometimes months.
16:38So the big question here is,
16:40what if robots
16:41didn't need training at all?
16:43What if they could learn
16:45and on the go
16:45like humans?
16:48All right,
16:49now it's time
16:49for one of the most exciting parts
16:51of this segment
16:51and that is a demonstration.
16:53All that we have seen,
16:54all that we have talked about
16:55means nothing
16:56until and unless
16:57we see the machines
16:58in action,
16:59which is why
17:00we have a robot over here
17:01that is going to demonstrate
17:02of how this entire technology works,
17:05not just on the software side
17:06but on the hardware side.
17:08Let's take a look.
17:17What Zinder has built
17:19is something called
17:20Object Intelligence.
17:25A system that allows robots
17:27to analyze and interact
17:29with completely unknown objects
17:30in real time.
17:32Instead of relying
17:33on massive data sets,
17:35the robot studies
17:36the object's shape,
17:37texture and reflectivity
17:39and then learns
17:40how to handle it
17:41and all of this
17:42within seconds.
17:47In many cases,
17:49that learning happens
17:50in just 10 to 15 seconds
17:52compared to months of training
17:53in traditional robotics.
17:55So this robot
17:57isn't remembering,
17:58it's reasoning.
17:59Something rare
18:00in the field of robotics right now.
18:06At the heart of the system
18:08is a vision and perception engine
18:09that breaks down an object
18:11into geometry,
18:12texture and possible grip points.
18:15Almost like how
18:17a human brain
18:17processes what it sees.
18:21Every attempt the robot makes
18:23becomes a learning step,
18:25meaning it improves instantly
18:27without being sent back
18:28for retraining.
18:29All happening real time.
18:36As for the hardware,
18:38most of what you see
18:39is the result
18:40of a global collaboration.
18:42France, China, Israel,
18:44almost 16 countries
18:45supply the components
18:46to make this machine
18:47with many of the mechanicals
18:50sourced locally.
18:51The logic is simple.
18:53If you're making robots
18:54for the world,
18:55it needs to be compatible
18:56with global standards.
18:59So this can be in a way
19:01an example of physical AI,
19:03machines reacting
19:04in the real world.
19:05And we've seen global players
19:07trying to perfect this technology,
19:09this intelligence.
19:10But the hearty sign
19:11of all of this
19:12is to see this tech
19:13happening in India,
19:15which just makes things
19:16really interesting.
19:19Globally,
19:20robotics is at a turning point.
19:22For the last 50 years,
19:24automation has been about control
19:26with focus on fixed environments,
19:29fixed tasks,
19:30and fixed outcomes.
19:32But industries today,
19:33from e-commerce warehouses
19:35to semiconductor manufacturing,
19:37are dealing with
19:38constant variation.
19:40And that's something
19:41traditional robots
19:42simply cannot handle.
19:45That is exactly
19:46where a company
19:47like Sillers Technology
19:48could change all of that.
19:50Helping robots
19:52adapt to real-world complexity.
19:54The idea is simple here.
19:56Instead of building
19:57factories around robots,
19:59build robots
20:00that fit into our world.
20:06Let's say I put the robot
20:07in an assembly line.
20:08If the wire comes
20:09in a different orientation,
20:10the robot must have been trained
20:12to handle that
20:13prior to it.
20:15A robot,
20:16and if it looks very unfamiliar
20:17to the way it was trained,
20:19the robot becomes,
20:20you know,
20:21blind to that situation
20:23and stalls.
20:24That's the ability
20:25that you are bringing
20:25to the robot.
20:27A human being,
20:28even though it looks unfamiliar,
20:30you will still go grab it,
20:32look around to see
20:33where it is actually familiar.
20:34Then from there,
20:35you perform your
20:36pre-trained task
20:37or whatever you anticipated task.
20:39That ability is absent
20:41for robots today.
20:43And we feel that focus
20:45should also be
20:46on building core robotics intelligence,
20:49not just assembling systems,
20:51but creating the underlying brain.
20:54Scylla just doesn't make the hardware.
20:56It also makes the software
20:58that makes these machines work.
21:01One ecosystem
21:02for a dynamic workflow.
21:12Because making robots work
21:13in a real lab like this
21:15is different compared
21:16to like deploying them
21:17in the real world
21:19at scale.
21:20And there are questions
21:21around cost efficiency
21:22and also real world deployment
21:25that we need to address.
21:26We are right now
21:26at the pilot stage.
21:27We are taking to the plants
21:29and then we are trying
21:29to test for a continuous operation
21:31and so and so.
21:32And it will take another
21:33one year to one and a half years
21:34for us to kind of
21:35get it into a full production line
21:37where the customer develops
21:38confidence that
21:39next million cycles
21:40it's not going to fail.
21:41Right?
21:42And you don't need
21:43human intervention.
21:44So you have a three sigma requirement
21:45and so and so.
21:46So we have a functional proof
21:50at this point.
21:51The next is going to be
21:52a process proof
21:53that it is sustainable
21:55and it will work
21:56continuously without any error.
21:58So if this technology works,
22:00it could unlock
22:01something robotics
22:02has been chasing
22:03for decades.
22:05Machines that are
22:05actually intelligent
22:07and being made here
22:08in India.
22:11It's an opportunity
22:12for a country like India
22:13to kind of take the effort
22:15back to our country
22:18that instead of people
22:19it could be through machines.
22:21So I think that will be
22:22one of the prominent ones
22:23to adopt the earliest.
22:26That could be very interesting
22:27emerging other opportunities.
22:29it could be in your
22:32recycling especially
22:33repair economy
22:34recycle economy
22:36to a good extent
22:37where the value addition
22:38could happen.
22:39Apart from that
22:40it will also be
22:41semiconductor
22:43semiconductor manufacturing
22:44and gadget assembly
22:46per se
22:47mobile phone
22:47and white goods
22:49assembly.
22:50And the story
22:51doesn't end here.
22:53As adoption
22:54for this tech
22:55rises
22:55we will see
22:56applications rise as well.
22:58Today it's robotic arms
23:00trying to screw bolts
23:01into car doors
23:02on factory assembly lines.
23:04Tomorrow
23:04it could be robots
23:05working in essential services
23:07and even manufacturing
23:09or others.
23:16robots have a different
23:17set of ability.
23:19We need to
23:19if you want to
23:20successfully
23:20economically
23:21viably
23:21able to adopt
23:22robots for automation
23:23we may have to
23:24rethink the process
23:25that suits the robots
23:27where they are strong
23:28and where they are weak.
23:29We have built
23:30poke-ok
23:31and all of that
23:31that comes
23:32because human beings
23:33have a tendency
23:33to confuse.
23:34Robots don't have
23:35that confusion.
23:36So that is not
23:37applicable here.
23:38So that there is this
23:39process transformation
23:40that has to happen.
23:42So if you do that
23:43it will become
23:43you will be much faster
23:45in adopting robots
23:45than the way
23:47we are going today
23:48to adopt it.
23:49The pace will change.
23:53So Sinder
23:54is trying to solve
23:55a major problem
23:57giving robots
23:58the intelligence
23:59they don't have
23:59right now
24:00and turning them
24:01from tools
24:02that follow commands
24:03into machines
24:04that actually
24:06understand them.
24:17you see me
24:18I'm just overjoyed
24:19when I'm
24:20seeing myself
24:21around technology
24:21and that's exactly
24:23what I'm trying
24:23to show you
24:24what the future
24:25is going to be like
24:26as robots evolve
24:27and the one thing
24:28that I wanted to
24:29highlight in this
24:29yes robots are fast
24:31they are efficient
24:32but now they are
24:33getting smarter
24:34and what we showed
24:35you today
24:35is a glimpse
24:36of how the entire
24:37dynamics around
24:38robotics is going
24:39to change
24:39because now
24:40they are able
24:40to understand
24:41objects
24:41and soon
24:42maybe in the future
24:44that person
24:45sitting beside you
24:46at work
24:47could be
24:48one of these
25:02so that's a wrap
25:03for this edition
25:04of the Tech Today
25:05show
25:05I just loved
25:06getting you this episode
25:07there was so much
25:08to see
25:08and an exploration
25:09a deep dive
25:10into the drone
25:10ecosystem of India
25:11which is evolving
25:12and also making
25:13for the world
25:14and I'm sure
25:15with more support
25:16it will become
25:17something just
25:18out of this world
25:19and also
25:20smarter robots
25:21that is another
25:22different story
25:23and the way
25:24it's evolving
25:25the way the whole
25:25robotics infrastructure
25:26in India
25:27is you know
25:28really breaking
25:29strides
25:30I think Indian
25:31robotics is going
25:32to be something
25:33that the world
25:34will talk about
25:34in the future
25:35and as for this episode
25:37I think it's all
25:38the time that we have
25:39but we'll be back
25:39next week
25:40with more tech
25:41and maybe in a
25:42different city
25:43but till then
25:44I'll catch you later
25:44bye
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