- 12 hours ago
Shark Tank India 5 20th Febuary 2026
Category
😹
FunTranscript
04:06Thank you, sir.
04:52How is he doing now?
04:54He's talking.
04:55He's mostly connected.
04:56And school and everything?
04:57Hello, Josh.
04:59My name is Laja.
05:01My name is Pat.
05:06My name is Nina.
05:12My brother name is Tavu.
05:16My family name is Space Chaos.
05:20Nice.
05:21Nice.
05:21Nice.
05:22Nice.
05:22Nice.
05:22Nice.
05:23Nice.
05:26Nice.
05:50I'm very important.
05:53He's also talking to me.
05:56I've got a job.
05:57I've got a job.
05:58I'm not talking to you later.
06:01I've got a job.
06:01I'm not talking to you later.
06:04I've got a job.
06:06When the mother comes, she will recognize her.
06:10The eye contact starts to fade.
06:13Then I thought that everywhere there is technology.
06:16So why would I use this technology here?
06:18Then I would like to understand the problems.
06:21The first problem I faced was its market fit.
06:25Before that, the raw material.
06:28Because my background is not in raw materials.
06:30And since it is for children, it is very necessary to be safe.
06:33It is very necessary to be safe.
06:34But why was it that there wasn't any products available before?
06:39And you have to make this.
06:41When I was going to market fit,
06:44I saw that products are already in the USA.
06:47And in India, some parents are still wanting to buy products.
06:50Because the boss is a lot and needs to import.
06:53So all parents are not in reach.
06:55When you were looking at the market,
06:56you were the first to make this in India.
06:59Yes.
06:59And now?
07:01Now we have enough.
07:02How much is this in India?
07:04This is about 500.
07:06And if you want to buy a product from the USA,
07:09how much is this?
07:09What will you buy about 900 rupees?
07:12Half the cost.
07:13Let's take your top three.
07:15Which are your tools.
07:17And let us explain how exactly how they use it.
07:20And what benefits are they from it.
07:23So this is our special kit.
07:25Which I call the magic box.
07:28There are two variants.
07:30The yellow one is a soft variant.
07:31And the red one is a hard variant.
07:32The yellow one is a soft variant.
07:35The red one is a hard variant.
07:35The red one is a hard variant.
07:37And the hard variant is a red one.
07:38And they use this for children,
07:40and the adults.
07:42And the parents always warn us
07:45that not talking about talking about women.
07:46But the feeding itself also affects
07:48The muscles are not going to build up due to the brain.
07:51The brain is not going to coordinate with the oral muscles.
07:54Interesting.
07:55So, how does it solve this?
07:57So, we need to teach the child batting.
07:59We need to use it in this way.
08:05And when we insert it, the child is irritated and closed.
08:10It is open with the tensile strength.
08:11And in the automatic process, they teach batting.
08:14I see.
08:16And then, our second tool is OroTube.
08:19OroTube has been made for chiving.
08:20Therapists teach how to do it.
08:26After that, our hero product is a weapon.
08:30A weapon is a stimulation device.
08:32And it's vibrating.
08:34Yes.
08:35It has three attachments.
08:36You can attach the unit tip in the rectangle shape.
08:40In this way.
08:44Okay.
08:45There is a switch on the back side.
08:47Yes.
08:47If you rotate the switch, it's on.
08:51Right.
08:51Stimulation is like this.
08:54Like this.
08:57Like this.
08:58Like this.
08:59Like this.
09:00Like this.
09:00Like this.
09:05What's the pan too?
09:08This is a pointed tip.
09:09This is a pointed tip.
09:09For kids, there's a major problem.
09:11It's test development.
09:13These kids don't experience food at all.
09:16What we do.
09:17This is what we experience.
09:18Hmm…
09:19So, we attach the pointed tip.
09:21And you can massage the tongue like this.
09:27Broadly understood, how do you translate it in speech?
09:32Your feeding and speech are related to each other.
09:36The muscles are used for speech, the muscles are used for feeding.
09:39But you also have puzzles here?
09:42Yes.
09:42So it's different from therapy?
09:44Only in speech can't be solved with autism.
09:47So we are making speech gears, we are making sensory gears,
09:51we are making TLM, Teaching and Learning Materials.
09:55These products were already in the US,
09:58and you brought them to India.
10:00Do they have copies of it or are they different?
10:03Different.
10:05We have indianized it.
10:06Our children are reduced in the build.
10:10And with that, we need to be fine-tuned to our frequency.
10:14And there will be a small difference.
10:15There will not be a significant difference between our products.
10:17Yes.
10:18Is there a major difference in any product?
10:19We have made it.
10:22We have made it.
10:22And there is no one.
10:23We have made it before the sensory bite.
10:27Is there a certification?
10:29Is there a medical certification?
10:30Is there a accreditation?
10:31Is there anything?
10:32How do I trust my child?
10:35These products are not in medical device category.
10:39These are not in twice category.
10:41These are in therapeutic category.
10:42They are in unregulated.
10:43Unregulated.
10:44And we have made it.
10:44To ensure quality,
10:47we have made it.
10:48We have made it.
10:48US compliance,
10:49CE compliance,
10:51and HHS compliance.
10:52And we are following the reach to standards.
10:55So reach to standards are followed in Europe.
10:58And it is the top standards.
11:00So Bharat Leena,
11:02let me explain.
11:03What is your business?
11:05Spacegears are on three verticals.
11:07One is Therapeutics.
11:09Okay.
11:09Second is Spacegears Research Institute.
11:11Okay.
11:12Where we provide assessment services.
11:15Okay.
11:15Very good.
11:15And our third vertical is Oral Sensory Motor Integration Therapy.
11:20Now let's just talk about R&D assessment.
11:23Right.
11:24Do you provide this service to parents?
11:26Or do you provide the institutes?
11:28Who do you provide?
11:29This is the parents.
11:30Is it online?
11:31Is it offline?
11:32Is it in the center?
11:32It is offline.
11:34We have established two institutes.
11:36One in Nagpur and one in NERDA.
11:38Okay.
11:38So parents do their assessment if there is an issue or not.
11:43Right.
11:43And third, you said you provide a therapy.
11:45Oral Sensory Motor Integration Therapy is a course.
11:48Are they online?
11:49Or are they from the two centers?
11:51This is also an outline.
11:53Spacegears is used in different locations.
11:55And it is for professionals.
11:57What are your sales channels?
11:59We are on Amazon.
12:00Flipkart.
12:01For the therapeutic products.
12:03Okay.
12:03Our web portal is spacegears.com.
12:06Right.
12:06Besides that, we are very focused on offline.
12:11We are making distributors.
12:13We are making franchises.
12:14We are making franchises.
12:14Our products are also being exported.
12:16Franchisees or distributors?
12:17We are making distributors.
12:19We are making distributors in India.
12:20We are making franchises outside.
12:21We are making franchises outside.
12:21Yes.
12:23Tell us about three verticals.
12:24How much is the vertical revenue?
12:26Our major revenue comes from Therapeutics.
12:28How much is the Therapeutics?
12:30Last month, we sold 70 lakhs.
12:32And last year?
12:334.99 crores.
12:35Not bad.
12:36How much is this year now?
12:374.46 crores.
12:39And how much will you end up doing?
12:41We are expecting 10 crores.
12:42Not bad, man.
12:43Is EBITDA margin?
12:44Yes.
12:46How much are you expecting this year?
12:48The EBITDA is approximately 21% of our revenue.
12:52That's very good.
12:53And last year, you received 4.5 crores revenue.
12:55How much EBITDA?
12:5715.16%.
12:58Is it on the total company level?
13:00Is it just on the therapeutic segment?
13:02It's on the total company level.
13:03And what percentage of Therapeutics will be in this?
13:06It's 90% of Therapeutics.
13:07So, in today's history, this is a Therapeutics business.
13:10In the future, you have to increase the research institute and training institute.
13:16I'm not sure what exactly you want from Shark, because your business is good.
13:23And I'm not sure what's going on in your business.
13:25I'm not sure what's going on in your business.
13:27I'm not sure what's going on in your business.
13:27And I can't align with the valuation.
13:29So I'm out, good luck.
13:30I hope you do really well.
13:34Bharat, Leena, this business doesn't feel like investors are pushing.
13:39So, unfortunately, I'm out of this.
13:45You are telling me that a lot of companies have become more.
13:47You can see Bharat.
13:48How much will the total company get to meet all companies?
13:49How much will it be?
13:51The total market size, like Therapeutics,
13:53is about 500,000 crores in India.
13:56The total serviceable market is about 10%.
13:59Because it's not working on 90% of children.
14:01Since it's 10% of children, the market size is small.
14:04Just as parents have awareness,
14:07it will increase 10% from 15 to 20.
14:09What rate will it increase?
14:10That's a question.
14:12It's not that next year, it will be 40-400 crores.
14:15I don't think it's investable business,
14:17but with your family, it's a big business.
14:20You have created your self-needs.
14:22I'll be outside today.
14:24But there's amazing stuff that you guys have done like hats off.
14:28I'm very involved in this space,
14:32through philanthropic avenues,
14:35both personal funds as well as MQ or CSR.
14:38So we will become your customers.
14:41But today, I'm out of this as an investor for a 2 crores investment.
14:45It's a wallet share.
14:47It's a wallet share.
14:47Any parent who helps them to diagnose the autism spectrum
14:50and help them to improve the autism spectrum,
14:52the majority of the money will always be paid in the center.
14:56Because as a parent,
14:58I always want to like you,
14:59for example,
15:01as a professional,
15:02to help them.
15:03By design,
15:05this market will be small.
15:07Even though autism is a big challenge.
15:09Because if a parent will pay 100 rupees
15:11to help their children with autism spectrum,
15:16you'll get 5, 10, 15 percent.
15:19That market size will not be good for the compounding next 10 years.
15:23From that reason,
15:24I'll be out of this.
15:25I wish you all the very best.
15:27Thank you, Saks.
15:29We are addressing a big problem
15:37and we will be able to solve this problem.
15:43Friends,
15:44play a home shark
15:46and win a game.
15:47Sharks,
15:48keep your stakes,
15:49keep your stakes
15:50and predict.
15:51Download the Sony Live app now.
16:11and we will be able to solve this problem.
16:12Hello, Sharks.
16:13Hello.
16:13Hello.
16:14The Indian IT Services market
16:16will be disrupted by AI
16:17by the $20,000,000 crores.
16:17It is going to disrupt AI
16:18from the $20,000,000 crores.
16:19It is going to be disrupted from the $20,000,000 crores.
16:19Amit,
16:20what time will you take your card to make?
16:22When you have to make it?
16:22It was the first version
16:23we did it for a month.
16:24We could launch with the MVP,
16:25Hyzen,
16:26only in two days
16:27We will launch only within one to two days.
16:29Hello, Sharks.
16:30My name is Amand.
16:31I'm Abhilasha.
16:32We brought Hyzen from Hyderabad, where we build any software.
16:37Whether it's an enterprise application or AI tools,
16:41it's also 10 times faster and 20% cost-based.
16:44We're not just making tech.
16:46We're also preparing AI age future workforce.
16:49People think that an app is made from coding.
16:51It's wrong.
16:52Coding is only 30% of the work.
16:55The rest is 70% of the requirements, meetings, coping, testing, etc.
17:00But we need to take care of Hyzen.
17:03In our department, we have specialized AI agents,
17:06who handle our human AI native engineers,
17:09such engineers whose engineering mindset is shaped up with AI.
17:14So what will you get in Hyzen?
17:16Lightning-fast delivery, very low cost, and quality enterprise.
17:22Sharks, for this, our ask is 90 lakhs for 1% of our company.
17:27Sharks!
17:28With Hyzen, let's deliver Indian software at light speed.
17:32And where's the AI? Why am I only seeing humans?
17:35You wrote AI plus humans.
17:36AI too.
17:38Abhilasha, who are you? Where are you from? And why are you here?
17:41I'm from Indor and Madhya Pradesh.
17:43I've done my B.T.E.C. in Electronics and Communication Engineering at NIT Bhupal.
17:48Then I've done my Master's in Computer Science at the Technical University of Munich, Germany.
17:53Where I've worked on AI research sites.
17:56Like in computer vision or natural language processing.
17:59After that, I had a PhD opportunity.
18:01But I had to work on applied sites.
18:02So I spent a lot of time in software engineering.
18:06Companies like ThoughtWorks or Microsoft.
18:08Then I came back to India in 2024.
18:11After that, I joined Hyzen full-time in September 2024.
18:16I'm from Bhupal.
18:18I've done my schooling from here.
18:20Our co-founder is Nijansh.
18:22Who is my school friend.
18:23And I know him from 20 years.
18:25He is currently in the US.
18:27I lead our US GTM in the US.
18:29After school, I was engineering from NIT Bhupal.
18:32Where I met Abhilasha.
18:34In 2021, I started my first startup.
18:37A little success, but a lot of failures.
18:39I learned a lot.
18:41In India, 12,000 people graduate.
18:4312,000 people graduate.
18:4412,000 people graduate.
18:4512,000 people graduate.
18:4612,000 people graduate from the IT and IT.
18:47But more than 12,000 people complete.
18:51Now, with AI they are becoming more AI native.
18:54They can also out-compete to the experience
18:58But just because they don't go to top colleges,
19:01They are the most under-utilized and under-valued talent in the world
19:04Which we leverage on.
19:06Instead of giving third-party talent,
19:08You are using yourself to start giving third-party talent.
19:12Now you have told us that he is in the US, what is his job?
19:15He leads the business of GTM.
19:17Nijansh has done civil engineering with IIT Madras.
19:21After that, Nijansh has done his MBA and ISBC.
19:24After that, he moved to SF, US, he wanted to start up and then be aligned.
19:30Are you full-time based there?
19:31Yes, yes, he is full-time there.
19:33Boss Conner.
19:34So I am the CEO, she is the CTO, Nijansh is the CMO.
19:38So how are you different than Kursar?
19:40The Cursar is an AI ID, where you are in the software development or coding.
19:46Our vision is to create a complete SDLC life cycle platform with AI human engineers,
19:52where the testing and deployment of all the things are used on our platform.
19:56One is a company that uses flawed code or coding tools, etc.
20:02and creates a project for a client.
20:03One is a company that creates these tools, which generates code, right?
20:08So what are we doing exactly?
20:09Our thesis is that you cannot deliver high quality enterprise software without human.
20:15You can automate 80-90% work and then with very few thousand engineers,
20:21you can create Infosys scale business, which is our vision.
20:24So you are similar to an Infosys, where you will create software for different functional uses for the customer.
20:32But you will use a tool like Cursar to make yourself more efficient.
20:37And probably use fewer people and therefore be also cost efficient.
20:41Do you have a demo?
20:42There is no one.
20:44There is no one.
20:44Any enterprise can discover Hyzen from its website.
20:47There is a meeting set up.
20:49In that meeting, our team and AI join the requirements.
20:54And after understanding the requirements,
20:55after understanding Minto and Hyzen platform,
20:57a detailed product plan is created.
21:00In which there are detailed user stories,
21:02acceptance criteria,
21:03and high-level features,
21:04with very minute details.
21:07The requirement gathering,
21:09and the finalization,
21:11will be used for months and months.
21:12That's right.
21:13When the plan is approved,
21:15we will pull whatever user story we have made.
21:17That's right.
21:18After the features complete,
21:21the testing phase will be shifted.
21:23The testing phase,
21:24Amit, you will know,
21:25the most of the time will be used for testing.
21:27The tests will be generated.
21:29And Hyzen's AI will be executed in the UI.
21:32And a final report,
21:34after reviewed by all the engineers,
21:37who has passed away, who has failed,
21:39will be generated on the platform.
21:40He can share it with the client
21:41or the team.
21:43Hyzen's vision is
21:44an AI-powered full SDLC platform,
21:47with the planning and testing.
21:49We do all the things on the platform,
21:51so that we can optimize the efficiency
21:53in the software delivery.
21:56You are using third-party tools, right?
21:59The assistant would not have been built by...
22:01No, no.
22:01We have made an internal leverage platform,
22:05which has made product notes in your meeting.
22:08The current note-takers
22:09don't make product notes.
22:11You are using a note-taker, right?
22:14We have made it from scratch.
22:15Just to be clear,
22:16you have made a fundamental LLM.
22:18You have made a prompt engineering.
22:19Yes.
22:19Context engineering.
22:20Exactly.
22:21That's right.
22:21Right.
22:22The data is our mode.
22:24Because our agents know,
22:26which meeting was in this project,
22:28which people were meeting,
22:29what plans were discussed,
22:30what decisions were made.
22:32So, the cursor is not making LLM.
22:34LLM's are getting commoditized,
22:36solutions are the answer.
22:38That's right.
22:39Do you think over time,
22:41LLM will find it easier to do exactly what you are doing?
22:44Now, let's talk about it.
22:46The scarcity of talent is the biggest blocker for a lot of companies.
22:50If you are able to solve that scale,
22:53in the next 4-5 years,
22:54you will create a leverage,
22:55which even the best of the companies won't be able to do.
22:58So, if I take,
22:59let's say,
22:59again, a rough example,
23:01that you want to make an app,
23:03OYO's.
23:03Your initial estimate was,
23:05that you will make it in 3 months,
23:07and you will make it in 10,000,000.
23:09Now, as a customer,
23:10you don't need anything else.
23:12You need this work,
23:13if someone is giving it in 1,000,
23:14in 1 month,
23:16and giving it higher quality,
23:17then you win as a partner.
23:19Right?
23:19So, structurally,
23:21if you compete on those 3 parameters,
23:23for the customer,
23:24out-compete any other solution,
23:26you will keep aggregating demand.
23:28How much revenue
23:28and how many people do that?
23:31Last year,
23:32we had about 75,000,000.
23:35This year,
23:36we have already done 3.15 crores.
23:39In December,
23:40I am expecting that
23:41we will do 75,000,000.
23:44Last month,
23:45I had 62,000,
23:46and last month,
23:47we had 50,000,000.
23:48So, last month,
23:49I am growing 25%
23:51What will you close this year at?
23:53This year,
23:53we are expecting that
23:54close to 7.5,
23:558 crores,
23:56I will close.
23:5710x.
23:58So, I think,
23:59the nerves of the business
24:00are the margins
24:01and I think that gives you
24:02the capability to invest.
24:04For every 100 rupees,
24:05I invest,
24:06close to one-third,
24:0734 rupees,
24:08I am investing on talent,
24:10which is the core expense for me.
24:12Instead of the operational costs
24:14and corporate overheads,
24:151%
24:16and 8% salaries,
24:17which includes our salaries also.
24:19And,
24:20I spend only 2%
24:21on marketing
24:22and 48%
24:23on EBITDA
24:24with almost 33%
24:26Pat.
24:2648% EBITDA.
24:27In this year,
24:29we have gained more net income.
24:30Right.
24:30In the last month,
24:31I have spent 20,000,000,000.
24:33How many clients have?
24:34Overall,
24:35I have worked with 58 clients.
24:37In this month,
24:37I have worked with 30 clients,
24:39which also shows
24:40that the business
24:41can scale.
24:4230 clients
24:43you have
24:44and 75,000,000
24:45a business.
24:46So,
24:4650,000,000 per client.
24:47That is correct.
24:48So, you will have
24:48one resource per client.
24:50I have almost
24:5227 engineers
24:53so, roughly,
24:54yes.
24:55I have 0.9
24:56resource allocation.
24:57What is the average
24:58engineer cost?
24:591,00,000 a month.
25:00The typical rate
25:01is $25 per hour.
25:02So,
25:03I will come exactly
25:03to the business model.
25:04Our business model
25:05is very outcome-based.
25:07And also,
25:08the retention we have got
25:09shows that
25:09we are doing something
25:10like we follow
25:11a sprint-based
25:12weekly model.
25:13If you come to me
25:14and say,
25:15I want to make an app,
25:16I will tell you
25:17how much outcome
25:18I can deliver
25:19in a week.
25:19And if you like it,
25:23you can keep
25:23continuing
25:23or drop.
25:25So,
25:25this ROI-based
25:26business model,
25:26I feel,
25:27is going to be
25:27one of the reasons
25:28that you can accumulate
25:29from large companies.
25:31So, you are absolutely
25:32right.
25:32This disruption is
25:33coming.
25:34The question is,
25:35how well are you
25:36delivering today?
25:37It will not only
25:37know your revenue.
25:39What is your
25:39annual contract value?
25:41$10,000
25:42and roughly
25:4310 sprints.
25:44Which means,
25:46a customer,
25:46on average,
25:47has 10 weeks
25:48and gives us
25:49$10,000
25:49or $8,500
25:51or $8,500.
25:52Only 10 weeks?
25:53Why do not do all
25:54their work from you?
25:56As I said,
25:56largely they were
25:57very early stage founders.
25:59How much budget
25:59is that?
26:00That is a primary concern.
26:01If we are working with
26:02big customers,
26:03they look at
26:04one to three years contract.
26:05Got it.
26:06Have you done any
26:07one to three year contracts?
26:09So,
26:09we are working with
26:10two big FMCG customers.
26:13One,
26:14we have contracted
26:15with one.
26:15For how much?
26:16Roughly about
26:163 lakhs rupees a month
26:18and 36 lakhs rupees a year
26:19for three years.
26:20Indian class.
26:21Indian class.
26:21How much?
26:22How much?
26:24Two third US
26:25and one third India.
26:27If last month
26:28you worked with 30 clients
26:28with 30 clients,
26:30in this month,
26:30out of those 30 clients,
26:32how many were still working with you?
26:32So, almost 27,
26:3390% monthly retention.
26:35In that,
26:36three months,
26:37roughly 84%.
26:38Got it.
26:39Let me tell you.
26:40Captable.
26:41We have done one round.
26:44We have almost 65% of founders.
26:46I have 28%.
26:48I have 27%.
26:49I have 10%.
26:50I have 20%.
26:51I have 20%.
26:52And I have 15%.
26:54Who are investors?
26:55So,
26:55in April,
26:56we had a primary round
26:56from Titan Capital
26:58and some angels.
27:00How much did he raise?
27:02He raised 4 crore
27:03at 20 crore valuation.
27:04Post money.
27:05So, 20% diluted.
27:06What is the exit strategy?
27:09Acquisition or IPO?
27:10IPO would definitely
27:11be one way
27:12if investors get exit.
27:13So,
27:14acquisition is not possible.
27:14Infosys cannot be bought.
27:16Acquisition is definitely possible,
27:17but we think
27:18we can build Infosys
27:18as much as much as possible.
27:20What is your biggest moat?
27:22And the biggest moat
27:23is that
27:24young talent
27:25we are taking a bet.
27:25If it turns right,
27:26I think it will be very difficult
27:28to compete.
27:30How much attrition is?
27:31Full time is zero attrition.
27:33But now,
27:33it's already started.
27:35How much attrition will happen?
27:38Good.
27:39IIT and IIT
27:39have a lot of opportunities.
27:41So,
27:41they have very high demand.
27:42In fact,
27:43that's not my point.
27:45You have done it.
27:46You have done it.
27:46IIT,
27:47good job.
27:48But,
27:49my point is different.
27:51The second level
27:52have no opportunities.
27:54You are hiring them.
27:55I get it.
27:56But after working with you
27:57for one year,
27:58their market rate
27:59is 3-4x.
28:01Because they know
28:02how to develop with AI.
28:03So,
28:04I am not asking
28:04how to get it.
28:06I am asking
28:07how to get it.
28:07After 1-2 years,
28:08how to get it?
28:10We have seen
28:11the same pattern.
28:12How does the world
28:13recognize that
28:14they are talented?
28:15They will drive
28:15that signal from college
28:16for 3-4 years.
28:18They have no objective
28:19metric.
28:20People use very conventional
28:22metrics.
28:22and they will hire
28:23to train
28:24as well.
28:26And Abhilasha,
28:27your former
28:28company
28:28ThoughtWorks
28:29believes
28:30that they are
28:30working rapidly
28:31in this direction.
28:33What is your sense
28:34that we will win
28:34with ThoughtWorks?
28:36The market
28:37overall is very big
28:38even if you become
28:40a drop.
28:41Like I am
28:41an example.
28:4220 lakh crores
28:43market will be
28:4430 lakh crores
28:45in the next 5 years.
28:46You can acquire
28:47the 8%
28:47and acquire
28:4810,000 crores
28:49company.
28:50Globally,
28:50I am not talking about it.
28:51But what is the problem?
28:52If you don't have
28:53any moat
28:53then your margin
28:55will be squeezed.
28:56So I think
28:57domain expertise
28:58would be also
28:59an added advantage.
29:00If you are only
29:01king in the supply chain
29:03then over the course
29:04of 3-4 years
29:05that clubbing
29:06of domain expertise
29:07with the right
29:08technology
29:08would also become important.
29:10What percentage
29:11of your revenue
29:11comes from supply chain?
29:12Today it is very low.
29:13it is sub 8%.
29:15But our
29:15both enterprise
29:16clients are
29:17in the same direction
29:17so we will focus
29:19on that.
29:21So guys,
29:22Aman,
29:23Avila Shah,
29:25I think
29:26the founder market
29:26is very solid.
29:28Second,
29:29everyone says
29:29that AI
29:30will replace
29:31but I think
29:32AI plus humans
29:33is the future.
29:36Third,
29:36you have done
29:36the best
29:37of a founder
29:37in the US.
29:39That is
29:40that your business
29:41can come easily.
29:43I have only
29:43one problem
29:44in your business.
29:47Talent as a moat
29:48I don't agree.
29:51Somebody can pay
29:52higher than you
29:53to take that talent.
29:55The product
29:56has to be somewhere
29:57where the product
29:57can be a moat.
30:00Unfortunately,
30:01I am out.
30:01good time.
30:03Aman,
30:04Avila Shah,
30:04your business
30:05is in such a situation
30:06that your ambition
30:07is big,
30:08but the runway is small.
30:11Because
30:12making software
30:12is relatively easiest.
30:16I worry that
30:17I worry that
30:17other players
30:18will find this out.
30:20And
30:21your business
30:21will work,
30:22but your margin
30:23will rapidly squeeze.
30:26I am out.
30:30Now,
30:31the average customer's size
30:32and time value
30:34per customer
30:34is very small.
30:37What you are telling
30:38the mode
30:39is only 8%.
30:42So,
30:43these two variables
30:44are very,
30:46very unproven
30:47at this point.
30:48And they are very important
30:50variables.
30:52That's why I am out.
30:59I will make you an offer.
31:03So,
31:03I will give you
31:0490 lakhs
31:04that you have asked for.
31:07But I would want
31:083% of the company.
31:11It's too early right now.
31:13I am putting
31:13belief on the founders.
31:15I like you guys.
31:18But valuation
31:19I don't want
31:20to go aggressive
31:21at this stage.
31:21Thank you so much
31:23for the offer.
31:28I am impressed
31:28by you guys.
31:31Particularly to see
31:33women as CTOs.
31:36This is very important
31:37in India.
31:40I hope that you become
31:42a poster child
31:43for women in tech
31:44in India.
31:45And hopefully
31:45the world.
31:47I will give you
31:48the same offer.
31:5190 lakhs
31:52for 3%.
31:5790 lakhs
31:58for 2%.
31:58If you do a half percent,
31:59then you say,
32:00done.
32:00I am ready.
32:00I am ready.
32:01I am ready.
32:01I am ready.
32:02Right now.
32:052%.
32:06I have reduced
32:0690 lakhs
32:072%.
32:09He is done.
32:102%.
32:11Done.
32:1390 lakhs
32:142%.
32:14Done.
32:1490 lakhs
32:162%.
32:1890 lakhs
32:192%
32:20is the final offer
32:20from my side.
32:21What do you ask for?
32:25Sir.
32:26Amit.
32:28Deal done.
32:2990 lakhs
32:30for 2%.
32:31Amazing.
32:32Why did you call me?
32:34They have worked
32:346 years in Trilogy.
32:36What is Trilogy?
32:37Trilogy is a
32:38services business job.
32:39600 million.
32:40It is a business
32:40with 1,000 people.
32:41What is Trilogy?
32:43Where I work.
32:45Thank you so much,
32:47Anupam.
32:48He has the wrong choice.
32:50Amazing entrepreneurs.
32:53Love the energy.
32:54We will do something good guys.
32:55Thank you so much.
33:03Thank you so much Anupam.
33:05Thank you so much Anupam.
33:18By the way,
33:19is my favourite shark.
33:20Little bit sad that
33:21he can't go on our journey.
33:24But Amit is more relevant
33:26I think for our business.
33:30Alright guys.
33:31Let's start.
33:32Sir.
33:33Kullu sir.
33:34Where is Kullu?
33:35Let's find him.
33:47Kullu sir.
33:48Let's find him.
33:49Let's find him.
33:49Now he's here.
33:55Sir.
33:56Your shot is ready.
33:57Let's find him.
33:57Arish.
33:58He's running here.
34:00I'll come.
34:01Two minutes.
34:08Sir.
34:10Sir.
34:10Your coffee will be cold.
34:12Bro.
34:13You take it.
34:13It's cold.
34:18Kullu sir.
34:20Your shot.
34:21I'll come.
34:27I'll come.
34:34I'll come.
34:35Now we take shots.
34:37I started watching one episode.
34:40I was watching.
34:41I don't know when it's 10 episodes.
34:42I mean, the world is different.
34:45Don't see me.
34:46You go to Crunchyroll and see me.
34:48Download it.
34:49It's a whole year.
34:52Download Crunchyroll.
34:54By Channel.
34:55By Channel.
34:55In other shows,
34:56Sharks also became an actor.
34:58In the focus of their poker face,
34:59the picture of their valuation is in their pocket.
35:01Welcome to Shark Tank India.
35:02Co-presented by Canva and Oppo.
35:05Co-powered by Lahori Zira,
35:06Crunchyroll,
35:07Partners,
35:08Rezone Solar,
35:09Fixed Dharma,
35:10Phone Pay Payment Gateway,
35:12Wide Gold,
35:13Jeeva and Sophie.
35:36Sharks!
35:37Today,
35:37a very important member
35:38wants to say something you want to say to you.
35:39What a problem in your life.
35:41It's a problem.
35:42It's a problem.
35:43It's a party,
35:44it's a mom and milk.
35:46It's a dog,
35:47it's a dog.
35:49It's a dog.
35:50it's a diaper.
35:51I wish my parents can understand me.
35:54And I wish babies can talk like this.
35:57But the reality is this.
35:58It's a dog.
36:05Interesting.
36:06Sharks, babies,
36:07rokers,
36:07or physiological signs communicate.
36:10And the parents can't understand this.
36:13Confusion,
36:13sleepless nights,
36:14and anxiety
36:15are a part of their life.
36:17And that's why we have created POKA.AI,
36:19an AI-powered co-parent.
36:21He decodes the child's cries
36:23along with the child's daily activities,
36:25feeding,
36:25and growth patterns
36:26to understand the parents
36:27and give a simple
36:28and medically grounded advice.
36:31Our smart AI assistant, KARA,
36:33all these people understand themselves
36:34and send the baby's weekly health reports
36:36to the doctor for a week.
36:38Sharks,
36:39today, Karan and Akash
36:40have come from Patiala
36:41and our ask
36:42is 48 lakhs
36:44for 1.5% equity.
36:46So,
36:46any child's cry
36:47will never be unheard of.
36:50Karan and Akash,
36:51welcome to your shark tank.
36:53Tell your story
36:54and tell us
36:54how did you start POKA.AI?
36:57I have been a sportsman all my life.
36:59I used to play national table tennis.
37:02I went to IIT Delhi
37:03and I got Akash
37:04and I did coaching with them.
37:06So, I worked in OYO as well.
37:08My first job was OYO.
37:09Okay.
37:09What year?
37:10In 2017, I internship
37:11and then I had a PPO there.
37:14Then, in 2020,
37:14I started as a data analyst
37:17and business analyst.
37:19Then, I switched to Jungli Games
37:20at the gaming company.
37:22I took a business
37:23from asking funding
37:24inside the company
37:25to a scale of 1.5 million ARR.
37:28I have taken that.
37:28Wow.
37:29My background is mechanical engineering.
37:32After IIT,
37:33I was a career pivot
37:35where I went to mechanical
37:36and digital products.
37:38After that,
37:39I worked as a product manager
37:40in FinTech domain
37:40in the last three years.
37:42I worked as a product manager.
37:44Look at this demo
37:45and you will explain
37:46exactly what it is doing.
37:48Now, let's see
37:49a mother's journey
37:50which is regularly used
37:51in the last one month.
37:54She is regularly using
37:55at night
37:56and crying.
37:58So, mother is naturally worried.
38:00So, we see
38:01what our cry analyzer
38:02tells us about
38:02the voice of the child's voice.
38:04So, I am quickly
38:05uploading the voice of the cry
38:07but
38:08any mother can record
38:09it for 5 seconds.
38:16AI detects
38:17that the child's voice
38:18will get tired.
38:19Naturally,
38:20this is a different behavior
38:20for mother's behavior.
38:21So, we talk quickly
38:24about the behavior
38:24of the child's behavior.
38:26Hello, Pukar.
38:27Yes, I am Pukar.
38:28My baby is giving
38:29some days
38:30to sleep during the night
38:31and eating more food.
38:34I have seen
38:35that the baby's sleep
38:35in the past three nights
38:36has changed
38:36the baby's sleep pattern.
38:38It is at 11 p.m.
38:392 a.m.
38:40and at 5 a.m.
38:40and at 5 a.m.
38:40it is at 5 a.m.
38:41and at 5 a.m.
38:41it is at 5 a.m.
38:41and at 5 a.m.
38:42at 5 a.m.
38:43This can be a growth
38:43or a sleep regression.
38:45For your full assurance,
38:47we take the red flags
38:48to check.
38:49Shall we start?
38:49So a major part of the feature is that we have a protocol-based red flag screening.
38:54If the mother is very worried, then we give her clarity of what is happening with the child.
38:58Let's proceed.
39:23Please, consult with Dr. Sharma.
39:28I have given a booking request for Dr. Sharma.
39:31I have given a booking request for Dr. Sharma.
39:34I have given a tracking data and our conversation summary so that the doctor is fully prepared.
39:41We can also show this dashboard.
39:43AB has a health dashboard where you can see growth charts.
39:46In addition, we develop AI insights on the whole of the history.
39:50We also see which doctor has verified the report.
39:55And the notes of the parents' recommendations are shown here.
39:58We facilitate this with our partner doctors every week.
40:01Aakash, one quick interruption.
40:03My two children, the crying sound was very different.
40:08There was a lot of colic pain.
40:10The crying sound when he had colic versus when he was hungry.
40:15He was very different.
40:17Absolutely.
40:18And when the child was a colic, his crying sound was very different than the crying sound.
40:24So, I don't understand that every child's crying sound and associated problem is so different.
40:32So, how do you capture this?
40:34And how do you know what is associated with what?
40:37You said that this type of data doesn't exist much.
40:41These are some medical universities or some institutes.
40:44Like MIT has researched it on it.
40:47The Max Planck Institute has researched it on it.
40:49In India, there is also a similar research on Bits Mesara.
40:51So, we started our first modeling on their data.
40:56How many records do they have?
40:58So, we have a total of 80,000 augmented cries.
41:01Are they classified cries?
41:03Labeled.
41:03And who has the labeling?
41:05The label is in the hospital.
41:06Okay.
41:07So, there are high quality data.
41:08Yes.
41:09Yes.
41:10I would like to ask you.
41:12Today, we are born a million children.
41:14Right?
41:14We are getting tired of parents and mother.
41:17What is happening?
41:18You are giving away from them.
41:20It's like you are giving away from the IT.
41:22You have thought that there are things that you don't afford.
41:27Sir, I will give you two data points.
41:29This is the Pukar app.
41:31This is actually data verified.
41:33And in India, there are 10,000,000 kids' deaths in 0-5 year old code.
41:38And 40% of the deaths just because of delayed diagnosis.
41:41And in that, there are 23%.
41:43That's why they are not able to understand the issue of crying in 0-1 year old.
41:46That is the issue.
41:48Cry actually works as a hook.
41:50We also understand that after 0-1 year old,
41:53Cry will become irrelevant.
41:55Mother understands the problem.
41:57So, the KARA which we were showing is our main mode.
42:00We are here trying to understand and gather the data of the baby
42:04over a period of time so that we can build a personalization.
42:06You know, 0-1 year old,
42:09One year old,
42:09Mother has been identified.
42:12Within 15 days to one month,
42:14We understand that you are saying that
42:16One year old,
42:17Mother has been able to understand.
42:18Cry pattern.
42:19I wanted to say,
42:19How many mothers have you talked about?
42:21We had a beta test with 120 mothers.
42:24That's a beta testing.
42:26Yes.
42:26How many mothers are on board and are using this?
42:29So, we have just, we were launching this.
42:31Free revenue.
42:32Free revenue.
42:33Oh my god.
42:34Okay.
42:35So, if you think that today,
42:37The big foundational models,
42:39They will already have a lot of data.
42:42I am telling you,
42:43Today,
42:43The parents are already using the foundation models
42:46To infer,
42:48What should I do next?
42:50How will you beat their distribution?
42:53The models that we use in AI,
42:56These are language models.
42:57And,
42:58When we speak in voice,
42:59We also have speech in words.
43:01We are using the sound.
43:03This is a frequency.
43:04This is a different model all together.
43:06So, LLMs don't have that capacity to distinguish.
43:09From that way.
43:11You have labeled data,
43:13You have no medical information.
43:17We are not a medical company right now.
43:18We are a parenting app.
43:19We are the path we want to go.
43:21What is the monetization strategy?
43:24Our GTM is now B2C for early traction.
43:27And it will be a hybrid of B2C plus B2B2C.
43:30Because we understand that,
43:31We will trust the doctors through.
43:33Absolutely.
43:34I think you will trust the doctors.
43:36And the doctors are saying,
43:37Your app is really good.
43:38Sir, we have 5 doctors on boarded,
43:40With whom we are working on this model.
43:43How much will we do?
43:45Our standard plan is $6.99 per month.
43:48And a premium plan is $11.99.
43:50There are some additional features.
43:52Just like,
43:53Kara can call for 2 minutes.
43:55And normally,
43:56When we talk about B2B's data.
43:58But it's basic.
43:59It should come to $6.99.
44:01So, the difference is,
44:01Proactively call at a time.
44:03Where is the mom's data?
44:06Where is the mom's data?
44:06There is Kara's data.
44:07How much will you charge the doctors?
44:09We have done very innovatively on boarded.
44:11We are not giving any money to doctors.
44:13It's a battle collaboration.
44:15New doctors need visibility.
44:17So, the content is a verified content feature.
44:20We create the content of the avatars.
44:22Automated.
44:23So, it plays a two-way for us.
44:25Some content we give them.
44:26They use their visibility.
44:28And that's why they are on our platform.
44:30But we actually share revenue.
44:32They also approve weekly health reports.
44:34Review it.
44:34It's not going to happen.
44:35It's not going to happen.
44:36It's not going to happen.
44:36It's pre-revenue.
44:37It's not going to happen.
44:37So, we discussed that model.
44:39We have discussed that model.
44:4080-100 rupees per report.
44:43If you go to the road,
44:45you will understand your problems.
44:50But I don't think you will ever get the trust of moms.
44:54I don't think you will ever get the trust of doctors also.
44:59The other thing, Namitah said,
45:00is that people will understand how to do it.
45:02So, unfortunately,
45:04you are going to trust me now.
45:05I don't think you will trust me now.
45:07You will trust me now.
45:08You will trust me now.
45:09You will trust me now.
45:09Unfortunately, I will be out.
45:10Thanks.
45:11Thank you so much.
45:12I'm also out.
45:14And you have to do a lot of work in this.
45:18I'll tell you,
45:19there are two utilities I see as a mother.
45:21The first is electronic health records.
45:24Right.
45:24The second utility,
45:28which was a really good one,
45:29that you touched upon,
45:30is that many health conditions
45:31were undiagnosed.
45:35that you have not done.
45:37And the most important thing,
45:39that mother will only do it,
45:40when the doctor will say,
45:41Namitah,
45:41you will do it.
45:42It will be very useful.
45:43This is a little bit for the doctor,
45:44for social media.
45:46That is not a hook for busy doctors,
45:48to work with you.
45:49So, I think,
45:50your whole model is a very weak model.
45:55It's not investable as of today.
45:59I use this band,
46:00hoop band name.
46:01Yeah.
46:02This device is on me.
46:03Yeah.
46:03It's measuring my heart beat.
46:04A lot of stuff, right?
46:05This is scientific,
46:06so, you know, kind of trusted.
46:07Forms a baseline.
46:09But,
46:09if you don't have to do it,
46:10you go to the hardware.
46:14If there is a approach,
46:15I would be interested.
46:16But,
46:16my approach is not a hardware side.
46:19I don't feel scientific.
46:20Today,
46:21I'm out.
46:22All the best.
46:24Karan and Akash.
46:26Yes.
46:27We are doing two things.
46:29We are doing a job of journaling.
46:31Yes.
46:32And the other thing,
46:32we want to take over time,
46:34our parenting apps
46:35from the pediatric app.
46:38Of course.
46:38The journaling app
46:40is in itself valuable.
46:43You will get significant usage
46:45and you will not get monetization.
46:49The second issue is
46:51which is being able to ensure
46:53that people will trust you
46:54or not.
46:54You will be able to monetize it.
46:56Today,
46:57I don't think that
46:58we will be able to monetize it.
47:01That's the reason
47:02that,
47:02I could not figure out
47:04that you have a core competence.
47:08Today,
47:09because I didn't get it,
47:10I'm out.
47:11Thank you so much.
47:12Today,
47:14everyone is playing AI
47:14and you have also played it.
47:18But,
47:18most of them are copycat models.
47:22If you try it in the real world
47:24on parents and kids,
47:26things will go wrong.
47:28You will never be able
47:29to earn that trust back.
47:32In this type of
47:33vertical use cases,
47:36value will be created
47:38where you will go deeper.
47:41You have to make a model
47:42that is not easy to replicate.
47:47That's where value will be created.
47:49Not by taking
47:51another parenting app
47:53or pediatrician library
47:54and make money.
47:56You will try it and fail.
47:58Maybe you need a third
48:00commercial co-founder.
48:02but today,
48:03I'm not seeing that.
48:04Okay.
48:05Good luck.
48:06I'm out.
48:07Thank you for the feedback.
48:08Thank you for the feedback.
48:09Good luck.
48:10Thank you so much.
48:11Bye.
48:12Bye.
48:12Bye.
48:18AI for the sake of AI.
48:20Yeah, this was clearly that.
48:22Half baked idea.
48:23I think the vertically
48:24Half baked.
48:24It's an interesting idea.
48:26It's an interesting idea.
48:27It's an interesting idea.
48:29It's an interesting idea.
48:29It's an interesting idea.
48:30It's a green washing
48:31like today.
48:33AI washing.
48:33Look, in life,
48:34highs and lows.
48:36But in Shark Tank India,
48:37highs and highs.
48:38Sometimes high valuation,
48:40sometimes high drama.
48:41These highlights
48:42are the smartest way
48:43to show me.
48:44Canva.
48:45In the video editor,
48:46I've put all the action
48:47in Canva's video editor.
48:48The rest of Canva AI
48:49have done.
48:49Look.
48:58In Rosada,
48:59we've made
49:00cool customized
49:01backpacks,
49:03bedding sets,
49:04travel kits
49:04and many more.
49:07You've seen Rosada
49:08on Bollywood's
49:09party wheels
49:10and you've seen
49:11some of your
49:12Go Sharks'
49:12house.
49:15He's been
49:16pictured carrying
49:17Yes, yes.
49:19And for one year
49:20he's been carrying
49:21this back.
49:25What is it?
49:26for a while
49:28and this keyboard
49:30needs a premium
49:32gaming brand
49:33which has
49:34lightning fast
49:34performance
49:35and solid build quality.
49:36And we've seen it
49:37with Creo.
49:39If I'm talking
49:39about the international
49:40brand,
49:41the keyboard
49:41is higher than
49:43it's good.
49:43It's heavy.
49:45It's good.
49:46It's nice.
49:46The sound is good.
49:48Babyworks
49:49by Swapil
49:52where we make
49:53certified
49:54silver
49:54and gold
49:55baby jewelry
49:55straight from the heart.
49:57This category
49:57that you're doing
49:58is a marketplace
49:59conducive.
50:00But you can go
50:02in the marketplace,
50:02standardized products.
50:05The patented
50:06and completely
50:07made-in-India
50:073D printers
50:08can build
50:09on any site.
50:11And the architectural
50:12freedom
50:12that you imagine
50:14can be 3D printed.
50:16The normal construction
50:17for a year
50:18for our robots
50:20can be printed
50:20in 30 days.
50:22In 2030
50:23our target
50:24is to print
50:253D in the moon
50:25and Mars.
50:26Made in India
50:27for the world,
50:28made in India
50:28for the universe.
50:29Yeah.
50:31Isn't that super cool?
50:32Designing
50:32is now simple
50:33and fun.
50:34That was the best
50:35of the week
50:35by Canva.
50:36More than 500
50:37founders
50:37have given
50:38a lot of
50:40start-up
50:40in the country.
50:45What are you
50:53missing your
50:54chairs?
50:55Of course
50:56this is not
50:57for your age.
50:58Like
50:59adult furniture
51:00is also
51:01for children.
51:02We are
51:03an age-appropriate
51:04and
51:05customizable
51:05kids' furniture brand.
51:07I love that
51:08slide.
51:09That's so cool.
51:11Who is that
51:12today
51:12we drink normal coffee?
51:14Aman.
51:15So basic,
51:16so outdated
51:17and just
51:18so minus.
51:19I have
51:21upgraded coffee here.
51:23What is
51:24I drink?
51:24water
51:26and coffee.
51:27It's not milk.
51:28As you can see,
51:29milk is coffee.
51:30It's a color.
51:32We have
51:33added a little
51:33milk powder.
51:35It's a milk
51:36too.
51:36It's very low.
51:38But it's
51:39too.
51:40Your confidence
51:41is good.
51:43Thank you Aman.
51:43But sometimes
51:44overconfidence
51:45looks like
51:47overconfidence.
51:48This is
51:48my cream
51:49made
51:49thick shake.
51:51You can't
51:52get so thick
51:52thick.
51:54It's not thick
51:55thick.
51:56It's only 5 minutes
51:57thick.
51:58No, 6 minutes.
51:59It's only 6 or
51:597 minutes.
52:02It's my first time
52:03pitch.
52:03I've never talked
52:03to any investor.
52:05It's the biggest
52:06opportunity.
52:07Shark Tank
52:08India.
52:10Shark Sal
52:11Dekki
52:11Anachita
52:12Diri
52:12Diri
52:12Diri
52:12Diri
52:14Diri
52:14Diri
52:18Diri
52:19Diri
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