
Vishal Nigam
Founder & CEO @ Investilo AI | Global Data Science Director @ Informa
London, England, United Kingdom
I’m an applied AI leader who specializes in building data-driven systems that perform beyond the lab—under real constraints, real users, and real risk. I’m the Founder & CEO of Investilo AI, where I’m developing AI-powered tools for investment research designed to help investors navigate complex, high-velocity market information and convert it into clearer, decision-ready understanding.
Why Investilo AI?
As an investor who has spent years working with AI and statistics, I kept running into the same wall: to answer one serious question about a stock, you end up clicking through filings, earnings calls, news, price charts, macro reports, and old notes across different tools. By the time you’ve pulled everything together, you’re tired—and still worried you’ve missed something.
Investilo AI grew out of that experience. I started by asking a basic question: “What if the heavy lifting could be done by a system that reads like an analyst, not just scrapes numbers?” Today, my team and I are building AI that pulls the key information on a company into one place, highlights what has actually changed, shows the trail back to the original sources, and helps people move faster from raw data to a clear, considered view of the business.
This isn’t about replacing judgment. It’s about making it easier to think clearly. My goal is simple: to make stock research feel less like chasing scattered information and more like sitting with a well-organized, honest picture of a company—so investors and analysts can decide with more confidence and less noise.
Applied AI in Practice
Across 16+ years in AI, data analytics, and product-led delivery, I’ve built and led teams working on practical ML adoption in industry. As Global Data Science & Development Director at Informa, I bring a perspective shaped by deployment at scale: governance, measurement, model performance drift, and the operational reality of putting AI into business workflows.
My work focuses on the boundary between automation and augmentation—how to keep humans meaningfully in the loop, when to trust outputs, and how to engineer safeguards so systems remain dependable as data and context evolve. I’m particularly interested in how modern AI (including LLM-based systems) changes knowledge work, what organizations get wrong when they “pilot forever,” and how to design evaluation that goes beyond vanity metrics.
Background & Education
My career has included leadership roles at Goldman Sachs and across technology firms where I’ve spearheaded international expansions, established high-caliber teams across multiple continents, and developed key software and algorithmic solutions that significantly impacted business operations. My educational background includes a Bachelor of Engineering in Computer Science from Govt. Engg. College, Ujjain, and an Executive Management Program from the Indian Institute of Management, Bangalore.
Speaking & Community
I’m an active contributor to the AI and tech community, sharing insights through articles, speaking at major conferences, and participating on advisory boards. My talks are equal parts strategic and hands-on, covering what to build, what to measure, what to ship first, and how to manage risk without slowing innovation to a crawl. Whether addressing executives, founders, or engineering teams, my message stays consistent: AI becomes transformative when it’s engineered for reliability—and adopted with clarity.
Recognition & Media
My work in applied AI and investment analytics has been recognized across leading technology and business publications:
- Featured as Top AI Leader to Follow in 2026 on MSN
- Pioneering AI-Driven Investment Analytics with Investilo AI – Analytics Insight Interview
- Discussing Large Multimodal Models on AI Business
- Insights on Large Multimodal Models – IoT World Today
- AI in Investment Research: Practical Applications and Challenges – YouTube
- Read my articles on AI Business
Feel free to connect with me on LinkedIn or through this site for collaborations or discussions on AI and its impact on modern business practices.
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