Vaibhav Antil is listening to the code

In December 2014, Vaibhav Antil had a respectable option available to him: finish at IIT Bombay and look for a job. He was studying mechanical engineering. Campus recruitment offered a well-established route out of college. Antil wanted to work on a music app. The institute let him defer placement interviews for two years, giving the experiment a safety net. Before privacy software, venture funding or AI agents, there was a student asking for a little time to see whether his idea would work.

The idea concerned a small tyranny of public life: somebody else choosing the music. Restaurants and bars had customers carrying entire musical worlds in their pockets, while the speakers carried on with the house playlist. BC Jukebox, the business Antil co-founded in 2014, gave patrons a way to request songs through their phones. A night out could acquire a soundtrack its customers actually wanted.

Today, Antil is the Brooklyn-based CEO and co-founder of Privado AI. His subject has changed from songs to personal data. The distance between those businesses is considerable, although both involve making an invisible system easier to understand and influence. His career offers a useful way into privacy technology: through the experience of someone who first wanted to build products, then encountered the work required to make their promises hold.

A playlist, a cup of chai, a business

BC Jukebox began with a conversation over chai in Powai, among four IIT Bombay graduates and a hardware engineer from aviation. They shared an enthusiasm for music and a dissatisfaction with what venues were playing. Their solution put a device at the venue and an app in the customer's hand. Song requests entered a queue; the establishment paid a monthly fee.

The business had to teach prospective customers why the service deserved a budget. As Antil put it in 2015: “Our initial struggle was with educating both our clients and customers”. The technology could be plug-and-play and still require a sales conversation. Making something straightforward to operate did not automatically make it straightforward to buy.

Early adopters helped the team test and revise the product in working venues. By June 2015, it was operating in Mumbai and Pune. A restaurant soundtrack was also a practical introduction to software meeting human preferences: requests had to become a usable service inside a business that already had its own routines.

The next problem arrived at Gaana

The music venture became part of a larger story. Jukebox Studio was acquired by Gaana, and Antil went on to work there as a senior product manager. His long-time friend and co-founder Jasdeep Cheema also joined Gaana. They spent a couple of years in product and business roles before starting another company together.

At Gaana, work on GDPR compliance exposed them to the cost of extracting information, creating workflows and maintaining evidence. Product decisions generated questions for legal and privacy colleagues. Answering those questions required engineering time. For people accustomed to shipping software, the mechanics of keeping track of it became an entrepreneurial problem of their own.

There is a pleasing detail in this transition: the music did not entirely disappear. During the 2020 Founder Stack SaaS cohort, Antil's off-duty interest was classic rock on vinyl. The person building a privacy tool still had records to listen to. It is one of the few ordinary pleasures that makes it through the professional biography, and it gives the chronology some welcome texture.

Six months, and still an old answer

Privado began in 2020 with Antil, Cheema and Prashant Mahajan as its founders. An early assignment involved mapping data for an ecommerce company. The team spent six months interviewing more than 100 product managers and developers. The result was a large spreadsheet. They still could not be certain it was complete or accurate, and product changes had already overtaken the work.

That experience made the problem unusually concrete. A conscientious process had produced a document with a short useful life. Antil and his colleagues subsequently spoke with hundreds of privacy and security leaders and found the difficulty repeated elsewhere. Software kept changing while the people responsible for explaining its data practices tried to catch up.

“You can’t govern what you can’t see”

Vaibhav Antil, writing about Privado's beginnings, 2022

Privado's response was to inspect source code and trace personal data through applications. Antil's argument placed privacy checks inside the work of developing a product. The spreadsheet episode supplied an unglamorous but persuasive origin: a team had tried the manual route and discovered how quickly its answer expired.

A product manager among privacy professionals

Antil's account of the business repeatedly returns to communication. In his July 2025 conversation with Sergio Maldonado on Masters of Privacy, the starting point was the language gap between legal, privacy and product engineering teams. His background helps explain the emphasis. He had worked with legal colleagues while leading product work, rather than arriving at the subject solely through policy.

That distinction changes the questions worth asking. What does an engineer need to see? How does a privacy concern become something a product team can act on? How does a legal requirement survive the trip into a changing application? These are the working questions suggested by his career, and they keep the story close to the people who have to use the software.

In an October 2023 conversation with Debra Farber on The Shifting Privacy Left Podcast, Antil discussed the engineering gap, fast development cycles and the lack of shared vocabulary across teams. The ambition was to make privacy reviews repeatable without making engineering grind to a halt. In that vocabulary, moving privacy “left” means bringing it earlier into development, while decisions are still being made.

He also took the subject directly to developers. At Android Worldwide in April 2022, his sponsored session covered the Play Store's Data Safety section and demonstrated Privado's free report builder. That is a specific corner of an otherwise expansive subject: helping someone describe what an Android app does with data. An abstract obligation becomes a form a developer actually has to complete.

Capital, and people who speak both languages

In August 2022, Privado announced a $14 million Series A co-led by Insight Partners and Sequoia Capital India, with Together Fund and Emergent Ventures participating. Added to an earlier $3.5 million round, that brought announced funding to $17.5 million. The company planned to develop its technology, expand the team and grow its open-source community.

Those numbers belong to the company. The more revealing personal milestone is that Antil had taken a second venture from a problem encountered at work to a business backed by institutional investors. His earlier co-founder remained beside him. Mahajan brought the engineering side of the founding team. The recurring cast matters in a career that can otherwise look like a succession of unrelated industries.

In September 2024, Nishant Bhajaria joined the team to build a Privacy Engineering Center of Excellence. His background included Google, Uber and Meta. The proposed work extended beyond selling software into helping leaders understand risks, choose mitigation strategies and communicate with other teams. Privado had already hosted panels, roundtables and individual coaching for privacy and governance professionals.

That addition fits Antil's public emphasis on cooperation. A code scanner still needs people who can interpret a finding, explain why it matters and get a change made. Bringing experienced privacy practitioners into the business gave the technical proposition an accompanying conversation about how organizations actually work.

Looking under the policy

A January 2025 analysis published under Antil's name examined DeepSeek's Android app. The exercise compared its privacy language with observable behavior: requested permissions, embedded software kits and data transfers. Privado reported that the app collected less data than its broad policy described, while also identifying flows to China.

The combination is revealing. A broad policy could suggest more collection than a particular test observed, even as that test raised concrete questions about where data went. Antil's team presented the work as an effort to look beneath the declaration. The findings concerned the app and testing described at that time; they were a demonstration of a method, rather than a timeless verdict on a changing product.

A small bird takes on the paperwork

On March 18, 2026, Privado AI introduced Wren, an AI privacy analyst designed to run assessment workflows. Its tasks include identifying activity that warrants review, deciding which assessment to start, preparing responses from available material and tracking risks. The name nods to Samuel Warren, co-author with Louis Brandeis of the 1890 essay The Right to Privacy. Even enterprise software occasionally gets a literary reference.

In announcing Wren, Antil described monitoring tools such as Jira and procurement systems, fast-tracking lower-risk activity and escalating higher-risk work to privacy teams. His stated aim was to help the privacy office enable innovation. The ambition connects to the problem he had described years earlier: teams need answers while the business is moving, and collecting those answers consumes time.

The route here began with a student who wanted customers to have a say in the music. It passed through product management, a friendship that became a second founding partnership, and a stubborn question about what software really does. The classic rock records supply a fitting detail. His working life now concerns a less agreeable sort of repetition: asking people, again and again, where the data went. He is building software to help answer before the question grows stale.