The internet has made information more accessible than ever, but staying informed has become increasingly fragmented. News apps, newsletters, social media, YouTube and search platforms each provide a different piece of the picture, forcing users to constantly switch between platforms to understand what is happening.

For Anjan Umamaheswaran B, Founder of CuriousCats.ai, this became a problem worth solving. The idea emerged from his own experience of navigating multiple platforms to keep up with AI, healthtech, startups, Formula 1 and local developments while working at Healthify.

What started as a personal solution has evolved into CuriousCats.ai, a proactive AI knowledge platform designed to continuously monitor the internet and deliver personalised intelligence briefings to users. The company describes its platform as one that scans more than 100,000 sources daily using multiple AI agents.

In an interaction with Indian Startup Times, Anjan Umamaheswaran B spoke about the problem that led him to build CuriousCats.ai, its AI-agent architecture, the challenge of building trust in AI-generated information, product-market fit, organic growth, its pre-seed journey and his vision for building a global intelligence platform.

From Information Overload to CuriousCats.ai

Anjan’s journey with CuriousCats.ai began with a personal frustration: there was no shortage of information, but there was no simple way to bring together everything he actually cared about.

While working at Healthify in 2024, he found himself moving between newsletters, Techmeme, Google News, YouTube and X just to stay updated on AI, US healthtech and the startup ecosystem.

Outside work, interests such as Formula 1 and developments in Bengaluru required even more sources.

The problem, he realised, was fragmentation.

News applications aggregated articles. Newsletters reflected someone else’s interests. Social platforms offered real-time information but were noisy, while AI search tools required users to know what to ask.

Anjan initially built CuriousCats for himself—a personal assistant that tracked startup news, AI developments, videos and trusted social accounts.

The product eventually attracted interest from other users, leading Anjan to leave Healthify in 2025 and build CuriousCats.ai full-time.

Building a Proactive AI Knowledge Platform

CuriousCats.ai is designed to work differently from traditional news aggregators.

Rather than waiting for users to search for information, the platform continuously monitors the internet and creates intelligence briefings based on what matters to each individual.

The system monitors news, videos, social media and expert perspectives across multiple countries. It also follows the evolution of stories instead of simply presenting the latest update.

According to Anjan, the idea is similar to having thousands of AI sessions working simultaneously—each tracking a different area of interest—without requiring the user to manually initiate every search.

The result is a personalised briefing that brings together relevant information and context in one place.

Nine AI Agents and More Than 100,000 Sources

A major part of CuriousCats.ai’s technology is its multi-agent architecture.

The platform’s system is divided broadly into intelligence gathering and personalisation.

The intelligence-gathering layer continuously discovers and understands developments across news, videos and social media. It does not simply search for keywords; it attempts to understand how stories develop and retrieves the information required to keep reports updated.

Across the platform, CuriousCats encounters more than 100,000 unique sources every day.

The company uses nine AI agents, with seven proprietary systems designed to improve speed, accuracy and cost efficiency.

Rather than relying entirely on large language models, CuriousCats has built much of its infrastructure in-house and uses LLMs selectively, including for generating final summaries.

The second layer focuses on personalisation—determining which information matters to which user based on their interests and feedback.

Building Trust in AI-Generated Information

For an AI platform dealing with news and information, accuracy is critical.

CuriousCats uses cross-verification as one of its core approaches. More than 90% of its reports are checked across multiple global and local sources, particularly when dealing with breaking or rapidly developing stories.

The platform also distinguishes between facts and perspectives.

If a claim or interpretation comes from an expert, publication or social-media account, CuriousCats attributes it rather than presenting it as an established fact.

Users can also access the underlying articles, videos and other sources to examine the evidence behind a report.

When credible sources disagree, the platform highlights the disagreement rather than creating artificial certainty.

Its StoryArc functionality also allows users to see how a story changes over time, including corrections, conflicting reports and newly confirmed information.

Personalisation Without Creating Filter Bubbles

One of the biggest challenges with personalised information is the risk of creating an information silo.

CuriousCats takes a different approach.

Anjan explains the company’s philosophy simply: “We personalize what is relevant to a user, but we do not personalize the facts.”

The platform aims to surface credible reporting and perspectives from different sources rather than simply reinforcing what users already believe.

It also combines highly personalised briefings with a broader Headlines experience that shows what people across the internet are reading and watching.

The product is structured around three layers of information:

• What is happening around the user.
• What is happening across the internet that is relevant to the user’s interests.
• What is capturing global attention.

This allows CuriousCats to remain personalised without completely isolating users from developments outside their existing interests.

StoryArc, CuriousCats POV and CuriousFM

CuriousCats has developed several features designed to change how people consume information.

StoryArc provides the evolution of a developing story, allowing users to see how an event unfolded chronologically.

CuriousCats POV brings together relevant opinions and perspectives from social media while clearly attributing them to the people expressing those views.

CuriousFM converts a user’s personalised intelligence briefing into audio, allowing users to stay informed while commuting, exercising or performing other activities.

Together, these features are designed to move users beyond short summaries and toward deeper contextual understanding.

From Failed Experiments to Product-Market Fit

The current CuriousCats product is the result of extensive experimentation.

One of the earliest versions featured two cats discussing the world of AI in a WhatsApp-style interface. While the concept seemed entertaining, users did not find enough lasting utility in it.

That experience taught the team that novelty could attract attention but could not create long-term value.

The company also initially believed hyper-personalisation would be sufficient. It later realised that users also expected the platform to be fast enough to capture breaking news.

CuriousCats has since gone through approximately 500 iterations and seven complete rewrites.

The company now measures product-market fit primarily through usage behaviour rather than downloads.

A typical user consumes at least 30 reports per day, while power users return around six days a week and consume at least 70 reports daily.

Some users have also maintained streaks of more than 100 consecutive days.

For Anjan, these behaviours are stronger evidence of product-market fit than simply measuring app installations.

Building a Global Product From India

CuriousCats.ai is being built from Bengaluru while targeting users across markets including India, the US, UK, Canada and Singapore.

The company has seen particularly strong conversion signals in international markets, with Pro conversion rates in the US and UK approximately twice those seen in India.

This has strengthened Anjan’s belief that the problem CuriousCats is addressing is not limited to one geography.

The challenge, however, is building a product capable of understanding different information ecosystems and user behaviours across countries.

The team has addressed this partly by staying extremely close to users and incorporating direct feedback into product development.

Growing Without Heavy Paid Marketing

CuriousCats has relied largely on organic acquisition.

Its distribution engine includes AI-powered CuriousCats Reporters, which specialise in specific topics and operate across platforms such as LinkedIn, Bluesky, Instagram and X.

These reporters identify relevant developments and turn CuriousCats intelligence into platform-native content.

The strategy allows potential users to discover CuriousCats through subjects they already care about rather than through conventional advertising.

Anjan sees this as an extension of the product itself: the same intelligence infrastructure that monitors the internet can also help distribute relevant information to communities where those conversations are already happening.

The Pre-Seed Journey

CuriousCats.ai has raised pre-seed funding from experienced founders and early supporters, including members of the Healthify ecosystem.

Interestingly, many early investors were already daily users of the product.

For Anjan, this meant investor conviction came from actually experiencing the problem and using the solution rather than simply hearing a pitch.

The company’s growing engagement metrics have provided additional validation, with users consuming more reports, returning more frequently and maintaining longer usage streaks.

The conversion from free usage to the Pro subscription has also demonstrated willingness to pay for the product.

Why Users Would Pay for Information

CuriousCats operates with a freemium model and a paid subscription layer.

But the company does not believe users are paying for information itself.

The internet already contains an enormous amount of free information.

Instead, CuriousCats believes users are paying for time, clarity and completeness.

Rather than checking five applications, reading multiple newsletters and navigating social feeds, users can receive one personal intelligence briefing containing relevant news, videos, perspectives and context.

The product also deliberately avoids advertising, clickbait and engagement mechanisms designed to keep users scrolling.

For Anjan, the real value proposition is simple: the internet does not have a shortage of information; it has a shortage of clarity.

The Bigger Vision for CuriousCats.ai

Anjan’s vision extends far beyond creating another personalised news application.

He wants CuriousCats to become the interface people return to whenever they want to understand what is happening in the world.

The platform would continuously monitor the information ecosystem, understand what matters to each person and prepare the relevant briefing before they even ask.

The fundamental shift is from chasing information to having an intelligence system do the work proactively.

The underlying technology could also extend beyond consumer applications.

The same infrastructure that monitors information across countries, formats and sources could potentially support intelligence applications for businesses and institutions.

The company’s five-year ambition is therefore significantly broader: to build a system that individuals, organisations and institutions can trust to continuously monitor a rapidly changing world, identify what matters and deliver actionable intelligence.

For Anjan Umamaheswaran B, CuriousCats.ai is ultimately an attempt to change the relationship people have with information—from constantly searching, scrolling and wondering what they missed to simply opening one platform and knowing that the important work has already been done.

Interview By: Arushi Agarwal