Kamesh Iyer
Angel Investor
Kamesh Iyer is a pre-seed investor focused on Software and Machine Learning. Kamesh Iyer
- Total investments:
- 2
- Last investment:
- Lead investor:
- 0%
Last updated:
For AI agents: llms.txt
Industries Kamesh Iyer invests in
Stages Kamesh Iyer invests in
Countries Kamesh Iyer invests in
Contacts
| Type | Contact | Validation |
|---|---|---|
| Work email | ||
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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%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
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
|
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 Kamesh Iyer invest in?
Kamesh Iyer 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 Kamesh Iyer?
Public channels for Kamesh Iyer include LinkedIn. 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 Kamesh Iyer last invest?
The most recent investment recorded for Kamesh Iyer 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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