News · AI & Deep Tech

CuriousCats.ai builds personalised intelligence briefings

By Startup Enthusiast · 25 August 2026

What they do

CuriousCats.ai is a proactive AI platform that scans the internet to deliver personalised intelligence briefings

Founder Anjan Umamaheswaran B, a former Healthify employee, built the platform after leaving in 2025

The platform uses nine AI agents, seven proprietary, and scans over 100,000 sources daily

CuriousCats.ai is a proactive AI knowledge platform that monitors the internet and delivers personalised intelligence briefings.
The platform scans over 100,000 unique sources each day.
It uses nine AI agents, seven of which are proprietary systems built in-house.
Over 90% of reports are cross-verified across multiple global and local sources.
A typical user consumes at least 30 reports each day.
Power users return about six days per week and consume at least 70 reports daily.
The product went through roughly 500 iterations and seven complete rewrites.

The idea originated from founder Anjan Umamaheswaran B's frustration with fragmented information across multiple platforms while working at Healthify in 2024.
An early version had two cats discussing AI in a WhatsApp-style interface, but users found novelty without lasting utility.
The company initially believed hyper-personalisation alone was sufficient, but later learned users also expected speed for breaking news.

CuriousCats.ai is a proactive AI knowledge platform that monitors the internet and delivers personalised intelligence briefings.
The platform scans over 100,000 unique sources each day.
It uses nine AI agents, seven of which are proprietary systems built in-house.
Over 90% of reports are cross-verified across multiple global and local sources.
Features include StoryArc (chronological story evolution), CuriousCats POV (attributed opinions from social media), and CuriousFM (audio briefings).
The platform distinguishes facts from perspectives, attributes claims to sources, and highlights disagreements when credible sources conflict.
Personalisation approach: personalise what is relevant to the user, but not the facts themselves.
The product has three information layers: what's happening around the user, what's relevant across the internet, and what's capturing global attention.