Chanchal, a serial builder of 13 products over a decade, launched Saras to solve his own investing pains—misleading financial advisors and opaque recommendations. After rebranding from Finosauras (shortened by users to “Saras”), this AI platform tracks 30 million+ stock sentiments across sources like Television (Zee Business, CNBC Awaaz, NDTV Profit), X (Twitter), Telegram, in real time slashing latency from 8-9 seconds to 500ms while categorizing sentiments into six types for retail investors craving transparency.
Decade of Builds, One Winning Metric
Only 2 of Chanchal’s ventures hit financial success, teaching a core lesson: define metrics early to know when to kill or pivot. Saras emerged from personal frustration with advisor inconsistencies, harnessing AI to scale value—analyzing vast Indian datasets despite spelling chaos in financial terms. User tests with 1000s drove the Shark Tank-inspired rebrand to Saras, resonating with core Indian audiences.
Conquering Data Chaos and Speed Demons
Indian ecosystem nuances credibility gaps demanded manual advisor verification and structured AI powered pipelines. Saras now delivers fast, aggregated, accurate and relevant insights via data analytics on SEBI RAs, contrasting opaqueness elsewhere. Latency wins ensure real-time edge, powering the “source of truth” vision.
VC Traction to Global Ambition
With a strong backing from global VCs and 18 months of proprietary data as most, Saras eyes constant innovation amid Western AI races.
Ultimate goal: comprehensive execution layer transforming retail trust—better data for sharper decisions. Saras proves metrics plus AI rewrite investing transparency, one verified recommendation at a time for every Indian.
Interview By : Sejal Thakur
