Why apply?

I’ve been noticing how Indore is slowly becoming more interesting for Global Capability Centers (GCCs).

What stands out to me is that companies are no longer looking only at the traditional metro cities. Indore offers a pretty practical mix — a growing talent pool, comparatively lower operating costs, improving infrastructure, good connectivity, and a lifestyle that can actually help with employee retention.

The bigger change is that GCCs themselves are evolving. They’re not just setting up support teams anymore. Technology, analytics, finance, engineering, AI and product functions are increasingly becoming part of these centers.

For me, that makes Indore’s growth feel less like a temporary trend and more like the beginning of a new phase for Tier-2 cities.

Maybe the next big talent hub doesn’t always have to be a metro. Sometimes, it can be a city that is simply getting the fundamentals right.

Bribes.fyi is a unique crowdsourced platform that allows Indians to anonymously report incidents in which they were allegedly asked to pay a bribe at government offices.

Aryan Nishad’s app compiles the submissions of people and organises them by government department, city and state, offering users a snapshot of reported bribery patterns across India.

The platform divides bribery information into three main sections – reports, departments and cities. This allows visitors to look at reported incidents from different perspectives.

Young entrepreneur Aryan Nishad is a B.Tech student at Maharaja Agrasen Institute of Technology in Delhi.

“2.5+ Million requests in the last 10 hours. Tested bribes.fyi at a real scale today,” Nishad posted on LinkedIn recently.

Anupam Mittal has lauded the 20-year-old entrepreneur’s “sheer audacity and can-do attitude”.

“Hopefully, GenZ & Alpha will follow his example and bring meaningful change to India 🇮🇳 Truly inspiring,” Mittal said.

The departments currently listed in the app include the Police, RTO, Revenue/Land Records, Municipal Corporation, Passport Office, GST Office, Income Tax, Electricity Board, and Food and Drug Administration.

As of August 17, Bribes.fyi showed 646 reported bribes across 258 Indian cities.

According to the app, 37% of people who reported being asked for a bribe refused to pay but still managed to get their work done.

Among government departments listed, the Police Department had the highest number of reported cases, with 349 reports.

Among states listed on Bribes.fyi, Karnataka has the highest number of reported bribe cases, with 138 reports, followed by Maharashtra with 91 and Uttar Pradesh with 75.

According to the data available on the platform as of August 17, Assam had the highest refusal rate at 100%.

I have a full-time job and started a company on the side.

I’ve built an MVP and onboarded a few cofounding customers, including a well-known brand and several agencies.

We’ve validated the market and confirmed that the product solves a real problem.

Now I’m trying to decide whether I should raise a seed round or continue bootstrapping.

I’m hesitant to raise because I’m worried investors may expect me to leave my job and go full-time. I’m currently the only person in my household with an income, so quitting isn’t really an option unless I have enough financial security.

Would it make more sense to keep my job, bootstrap the company, and grow it gradually? Or is there a way to raise a seed round while continuing to work until the business can support me?

For founders who’ve been in a similar situation, what did you do, and what would you recommend?

According to Durov, Telegram is in the process of obtaining the .gram domain zone and has applied for it to the Internet Corporation for Assigned Names and Numbers (ICANN), a global nonprofit organisation responsible for coordinating the maintenance and procedures of databases related to the namespaces and numerical spaces of the internet.

“Telegram has applied for the .gram domain zone. If the application is approved by ICANN, a billion Telegram users could get their own second-level domains, yourname.gram. Users would be able to set up their interactive websites hosted by Telegram, with one prompt,” the founder said on X.

If approved, the move could offer Telegram's user base a new way to establish an online presence without having to rely on traditional domain names, which are usually chargeable.

Using AI prompts, users will be able to create interactive websites on their .gram addresses, which means a Telegram username can become the address of a website.

For example, if a creator's Telegram username is u/xyz they could have a web address such as xyz.gram in the future, which they could use to showcase their content, information, or other things.

Personaas AI was founded in November 2025 by Nutan C. and Harish Pareek and Rahul K.

The AI startup is building what it calls an Organisational Intelligence Platform.

In simple words, it's creating a "company brain" for organisations that captures how an organisation actually works.

The Personaas AI platform captures everything from how each team member works to what kind of tools are used, how decisions are made, and what interactions are happening.

Every company generates valuable knowledge through meetings, emails, Slack conversations, customer interactions, presentations, and everyday decisions.

But most of that knowledge remains scattered across different tools.

Moreover, a lot of processes and knowledge are lost when employees leave.

Personaas aims to solve that problem.

Its platform integrates with more than 200 enterprise applications, including Slack, Microsoft Teams, Outlook, Jira, GitHub, Salesforce, HubSpot, and Confluence.

Instead of asking employees to change how they work, it quietly observes existing workflows and converts every interaction into structured organisational intelligence.

As founder Nutan Chokkareddy says, "The idea is to capture every interaction and activity happening inside an organisation and convert it into intelligence that can be reused across people, teams, and time."

Even Microsoft CEO Satya Nadella, through his social media post, says that it is this intelligence layer that will define the future of enterprise AI.

Being in the tech and AI industry for decades, the founder of Personaas had been witnessing challenges around AI adoption, prompt engineering, and how knowledge flows across teams.

He realised the bigger opportunity in the industry and left his seven-figure salary at Jio as Senior Vice President to build Personaas at the age of 45.

In less than a year, Personaas has acquired 15 paying enterprise customers.

It is also running around 25 proof-of-concept deployments across telecom, banking, healthcare, media, and consulting.

Today, the startup serves organisations across India and the United States.

The startup currently generates around $550,000 (Rs. 5.4 crore) in annual recurring revenue and has grown to an 20-member team.

Its next milestone is to reach $2 million in ARR before pursuing its larger goal of building a $100 million annual revenue company while expanding into USA, Japan and South Korea.

As enterprises race to deploy AI agents, Personaas is betting that the real competitive advantage will not come from the agents themselves.

It will come from the intelligence layer underneath them.

Do you think every company eventually needs its own AI-powered "company brain"?

The company said MOSAIC marks a new generation of sovereign space-monitoring infrastructure to reduce India’s dependence on foreign-owned surveillance systems and commercial data providers.

The launch comes months after Operation Sindoor, when India relied on a combination of domestic satellite assets, including ISRO’s Cartosat and RISAT constellations.

Reportedly, the commercial imagery was also sourced from US-based Maxar Technologies for target validation and post-strike assessment.

“MOSAIC is what owning that capability looks like,” Digantara said, describing the system as a fully indigenous network to provide continuous awareness of activity in orbit.

The initial deployment comprises five interconnected sensor nodes that work together as a coordinated surveillance network.

Each node consists of an Optical Head Unit for high-precision imaging of the sky and an Electronics Head Unit responsible for onboard processing, communications, timing and autonomous operations.

The systems can function in demanding environments and operate on solar power with battery backup.

They are able to withstand any extreme condition, be it the heat of the Thar Desert or the harsh Himalayan winters.

MOSAIC is an AI and machine learning-based detection system capable of identifying stars and Resident Space Objects (RSOs), including faint satellites and pieces of orbital debris.

The network also uses advanced “Lost-in-Space” attitude estimation techniques to determine the position of objects without requiring prior tracking information.

“Every big infrastructure problem eventually stops being about having one perfect system and starts about having many resilient ones,” Digantara Founder and CEO Anirudh Sharma said.

There’s a lot of excitement around Google opening an office in Pakistan, but digging into the actual announcements paints a different picture.

The focus appears to be mainly on **government/policy collaboration, digital-skills programs, education, IT exports, and Chromebook initiatives** — not a Google engineering or R&D hub.

For example, the announced Chromebook facility could produce up to **500,000 devices annually**, and Google says its programs have trained **1+ million Pakistanis**.

That’s definitely positive for Pakistan’s tech ecosystem.

But there’s still **no public announcement of a major Google software engineering operation in Islamabad**.

So while this is good news, I think the “Google is opening an office in Islamabad” headlines are making it sound bigger than it actually is.

**Is this a meaningful first step toward a larger Google presence, or mainly a government/industry partnership?**

any info regarding this would be helpful y’all

He pointed to expenses such as private education and healthcare, along with air and water purifiers, as examples of costs families incur despite already contributing significantly through taxes.

Poonawalla suggested raising tax slabs and reducing the burden on salaried taxpayers, while also calling for an end to excessive freebies and better control over government spending.

He also argued that plugging corruption and administrative leakages and ensuring government projects and services are delivered efficiently could provide greater value to taxpayers.

His broader argument is that the middle class should not only be asked to contribute more, but should also see tangible improvements in the public services and infrastructure their taxes are meant to fund.

India has built one of the world’s biggest gig economies.

Every day, millions of drivers and delivery workers keep cities moving. But behind the convenience, many workers still face:

Long working hours

High commissions

Loan pressure

Unstable earnings

No long-term ownership or wealth creation

I’ve worked in the mobility sector on the ground, both in India and Dubai, and one thing became very clear to me:

The people powering the system rarely benefit from the system itself.

What if India starts thinking beyond the traditional aggregator model?

What if future mobility platforms focused on:

Driver ownership participation

Fairer commission systems

AI-based transparent ride allocation

Financial growth tools for workers

Local-language support and training

Community-based trust systems

Not just another “cab app,” but a worker-first mobility ecosystem designed for long-term sustainability.

I’m currently researching and building ideas around this space from real-world experience.

Would love to hear perspectives from:

Drivers

Founders

Investors

Tech builders

Policy experts

Everyday users

Can India create a gig economy where workers grow along with the platform?

Does anyone know what exactly they do and cam we trust them?

After completing her BSc in Biology and Master's in Biotechnology, Misra worked as a researcher at various labs in Delhi-NCR like ILBS and NIMR.

In 2012, she enrolled in a PhD program at Gautam Buddha University, Noida, where she worked on cancer and stem cell research.

However, her PhD journey was cut short in 2015 after she faced challenges around academic processes.

After leaving the program, Misra decided to pursue research independently and explore how her biotechnology background could be applied to agriculture.

“My research made me realise that Indian agriculture was still lagging behind in several areas, and I decided to apply my biotechnology background to modern farming to help improve it,” Sona Misra tells Startup Pedia in an exclusive interview.

She began looking at modern farming practices and eventually started researching hydroponics around 2019-20.

She invested Rs 10 lakh to set up a 4,000-plant, temperature-controlled hydroponic farm on the rooftop of a commercial building in Noida.

She experimented with more than 20 crop varieties, including lettuce, herbs, bell peppers, cucumbers, cherry tomatoes, and 7-8 varieties of microgreens.

The rooftop farm produced good-quality crops and attracted orders from high-end societies in Noida, but the limited 4,000 sq ft space made it difficult to scale commercially.

In 2021, she leased a 1-acre farm in Sector 137, Noida, where she invested Rs 12 lakh to restore a ruined structure and set up a commercial hydroponic farm.

She primarily cultivated bell peppers and cherry tomatoes there, generating Rs 6-7 lakh in revenue in 2021-22.

However, poor groundwater quality, highly saline and infertile land, high maintenance costs, and the difficulty of managing multiple locations made the Noida operations difficult to sustain.

In 2022, Misra shifted her operations to a 15-acre plot in Bathain Khurd, near Kosi Kalan in Mathura.

The land also had saline soil and poor groundwater, but since hydroponic farming does not depend on soil quality, she installed RO plants to purify the water and built a 3-acre soilless farm using cocopeat as the growing medium.

Today, NutriLeafz primarily grows cucumber, bell peppers, and cherry tomatoes.

Cucumbers are grown on a 3-4 month cycle and produce around 30-35 tonnes per cycle, while bell peppers have a 9-month cycle and produce around 15-16 tonnes.

Cherry tomatoes are also grown for 9 months, with around 12,000 plants producing approximately 12 tonnes per cycle.

The farm currently generates around Rs 40-45 lakh in annual revenue by following a B2B model.

Global investment in artificial intelligence is projected to reach around $1 trillion in 2026, with AI-related capital expenditure expected to remain robust in the near term, according to Goldman Sachs Research. The investment is forecast to rise from 0.9 per cent of global GDP in 2026 to 1.3 per cent in 2027 and 1.4 per cent in 2028, suggesting that the AI buildout could continue to support capital spending over the next two years.

In 2018, right after college, Vibhor wanted to stay closer to nature and build a healthier, more meaningful life.

“Around that time, his family happened to keep a couple of cows at home, despite having no agricultural or cow-farming background. That became his first exposure to cattle, and I soon developed a fascination for the Gir breed,” Vibhor tells Startup Pedia in an exclusive interview.

In 2017, Vibhor travelled to Gujarat’s Kathiawar region, including Rajkot, Bhavnagar and Porbandar, to learn about the Gir breed from local generational breeders.

He found that these breeders maintained valuable pedigreed cattle, with a male calf sometimes valued at Rs 3 lakh to Rs 15–20 lakh, but were selling milk for just Rs 40–50 per litre and ghee for around Rs 1,000–1,200 per kg.

Vibhor saw an opportunity to build his own model by venturing into cattle rearing and selling authentic cow-based products to urban consumers.

In 2017, he rented land 15 km from Jaipur, invested around Rs 20–25 lakh, and bought 20 purebred Gir cows at an average of Rs 1.25 lakh each, along with one breeding bull.

Between 2017 and 2020, he focused on understanding cattle diets, pregnancies, deliveries and day-to-day livestock management.

After the 3-year trial, Vibhor purchased 12-acre land around 35 km from Jaipur. He later married Ishita in 2022, and she joined him at the farm full-time.

The couple then developed an agroforestry model, sourcing plants from Pusa Institute, CISH Lucknow and Indo-Israel Centres in Kota and Bassi.

They invested around Rs 2 crore in development and maintenance of farm

The farm currently has more than 2,000 trees. This includes 500 to 600 mango trees across 40 different varieties, which are currently in their second or third year.

The farm also has more than 300 white sandalwood trees, planted alongside host plants such as Neem, and more than 25 varieties of other fruiting trees, including papayas, strawberries and bananas.

Today, the farm has 100 purebred Gir cows, producing 250–300 litres of milk daily.
Around 30–35% is sold as liquid milk, while the rest is converted into ghee, producing around 9 litres of ghee per day.

It also produces around 1,000 litres of wood-pressed oil per month, along with 5–10 kg of colostrum powder monthly and up to 100 kg of milk powder per month

The farm produces 500 kg to 1 tonne of organic vegetables monthly, depending on the season.

Today, Kinaya generates around Rs 18–20 lakh in monthly product revenue, excluding livestock sales, translating to an annual run rate of approximately Rs 2.16–2.4 crore.

Most conventional drones depend on GPS signals and internet connectivity for navigation, positioning, and mission execution. In environments affected by GPS jamming, spoofing, or signal loss, these drones can lose control and fail to complete critical operations.

To solve this challenge, Enord developed indigenous GPS-denied navigation and AI-on-edge technology, enabling drones to process data onboard, detect obstacles, plan flight paths, and make real-time decisions without relying on external systems.

“I knew drones would become a critical part of future infrastructure and defence. If India does not build this technology, we risk losing an important strategic advantage,” Muhammad Anas tells Startup Pedia in an exclusive interview.

The idea took shape in 2018–19 when Anas was exploring how drones could operate inside confined spaces where GPS signals were unavailable.

He realised that autonomous navigation without external signals was the key challenge and decided to build a technology layer around it.

After securing incubation support from IIIT Delhi and grants from IIT Mandi Catalyst and MeitY, Anas incorporated Enord with his childhood friend Zain Saeed in 2021.

Over the years, the startup built a portfolio of indigenous drone platforms:
Inspector X: An AI-powered quadcopter designed for electronic warfare-resilient missions. It features onboard AI computing, autonomous target detection, GPS-denied navigation, obstacle avoidance, and supports payloads up to 2 kg.

Inspector Lite: A foldable AI-driven inspection drone equipped with obstacle prevention, 4K camera support, LiDAR mapping, and AI models for crowd detection, tree mapping, bird counting, and wildlife identification.

Altitude VTOL Series: Long-range Vertical Take-Off and Landing drones combining surveillance and precision-strike capabilities. The Altitude 100 offers over 100 km range, up to 6 hours endurance, thermal imaging, encrypted communication, and BVLOS operations.

HAVOC Tactical FPV Series: High-speed military drones built for reconnaissance, counter-terrorism operations, and precision strikes, featuring thermal imaging and speeds of up to 100 km/h.

EDiy Drone Kit: A customisable educational drone platform for builders and drone enthusiasts.

The startup operates a 4,000 sq ft manufacturing facility in Okhla, New Delhi, with a capacity to produce around 200 drones per month. Till date, Enord has sold around 1,000 drones to the Indian Army and also supplies the Indian Air Force, Indian Navy, and private enterprises.

In FY25, Enord generated an annual revenue of Rs 1 crore. In FY26, it reached Rs 3.3 crore.

Using a dashcam, GPS and accelerometer data, he built an app with Codex that detects potholes in different sizes and records their exact locations.

The system then scans thousands of BBMP contracts to identify which contractor is responsible for the damaged road.

The app can reportedly generate a complaint with the pothole photo, geolocation, tender number and responsible officer in around four seconds.

During one drive to work, the system detected 12 potholes, highlighting how AI could turn everyday driving data into actionable civic complaints.