About
Investment research has too much repeated work.
stockinsights.ai exists to turn recurring public-market research and monitoring work into systems that can run consistently, produce reviewable outputs, and leave people with more time for judgment.
Why we started
We started with a simple observation: a lot of investment research is not glamorous. It is collecting filings, reading transcripts, checking disclosures, extracting commentary, comparing changes, and turning all of that into something a team can use.
That work matters, but it is also repeated. AI gives us a chance to rebuild those routines as structured workflows instead of leaving every analyst to start from a blank page or a pile of source documents.
What we are building
We are building background agents for recurring research workflows: portfolio monitoring, quarterly results tracking, commentary extraction, alerts, internal research support, and output automation.
The important part is not just that a model can generate text. The system has to be grounded in source data, configured to the datasets and processes a team already uses, and designed so outputs can be reviewed before they are trusted.
Who we build for
stockinsights.ai supports self-directed users who want better research tools and professional teams that need repeatable workflows across public company data.
That includes PMS firms, AMCs, wealth teams, research desks, quant and data teams, and groups that need APIs or custom workflows connected to their datasets, systems, and internal process.
Who we are
Ganesh brings a background in data, machine learning, and SaaS product strategy from Avaamo, eKincare, and Dell. He is focused on making public-market research less manual without removing the judgment that good research depends on.
Recognition
stockinsights.ai has been recognized as an IFTA 2024 finalist in WealthTech and has been part of startup programs including Paddle AI Launchpad, AWS Activate, and NVIDIA Inception.
