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Krunal Gupta

Angel Investor

Krunal Gupta is a pre-seed investor focused on Software and Machine Learning. Krunal Gupta

Total investments:
2
Last investment:
Lead investor:
0%

Last updated:

Industries Krunal Gupta invests in

SoftwareMachine LearningWellnessHealth CareCloud Computing

Stages Krunal Gupta invests in

Pre-Seed

Countries Krunal Gupta invests in

United Kingdom

Contacts

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Investment Focus

Industry

  • Software 2 (100%)
  • Machine Learning 2 (100%)
  • Wellness 1 (50%)
  • Health Care 1 (50%)
  • Cloud Computing 1 (50%)
See all 7 industries →

Investments

CompanyDescriptionRoundLinks
Gaston Gaston
Gaston is a disruptive platform that aims to revolutionise the way we consume foods for boosting health and wellbeing in UK, US and India markets. Functioning as B2B SaaS platform, it helps food technology platforms (e.g. food apps, table reservation apps, catering companies, etc.) to connect their users’ who have dietary, nutritional,medical-conditions and lifestyle related food restrictions to foods that they can consume safely. We do this by using Artificial Intelligence (AI) and power of data and analysing the ingredients and nutrition information of millions of foods (and recipes) to curate highly personalised suggestive food and recipe recommendations. Our smart algorithms analyse users' pathological (and progressively genetic) profiles to understand foods and (micro)ingredients that can help them live healthier longer lives. $327K / Pre-Seed / Jan 04, 2022
Gaston Ai Gaston Ai
Food is the most powerful — yet underused — lever in preventing and managing chronic disease. Over 1 billion people already live with non-communicable diseases (NCDs) like diabetes, cardiovascular disease, autoimmune conditions, etc. while billions more are unknowingly at risk. Despite clear evidence linking diet to health, today’s food systemremains generic, reactive, and disconnected from individual biology.Gaston AI is changing that. We are a multi-award winning HealthTech with presence in Europe and USA. We’ve built a precision nutrition platform that uses AI, biomarkers, and clinical nutrition science to deliver real-time, personalised food decisions — at scale. Beyond managing allergies or restrictions, our system:Recommends foods based on metabolic markers, inflammation, and insulin sensitivity Supports those with diagnosed conditions (e.g., Type 2 diabetes, celiac) Predicts and modulates future disease risk using digital twins and longitudinal data Suggests phytonutrient-rich food patterns to optimise gene expression and long-term healthDelivered via API integrations, AR-powered grocery scanning, and a medical-grade claims engine across 1,000+ use cases, Gaston AI empowers individuals to choose smarter, while enabling retailers and brands to personalise offerings, drive loyalty, and lead in the food-as-medicine revolution.We’re building a future where food isn’t guesswork — it’s precision healthcare. $338.2K / Pre-Seed / Jan 04, 2022

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FAQ

What does Krunal Gupta invest in?

Krunal Gupta invests primarily in Software, Machine Learning and Wellness startups, most often at Pre-Seed stage. Most of the 2 investments tracked by Shizune back companies in United Kingdom. The Investment Focus section breaks down every industry, stage and country in the portfolio.

How do I contact Krunal Gupta?

For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.

When did Krunal Gupta last invest?

The most recent investment recorded for Krunal Gupta closed in Jan 2022. Shizune tracks 2 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.

Is Shizune's investor data accurate?

Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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