Tastewise has raised US$50 million in series B funding led by TELUS Global Ventures and included participation from Disruptive AI, Peakbridge Capital, Duo Partners, and PICO Venture Partners.

This brings its total funding to US$72 million, which will support global expansion and enhance its AI marketing tools.

It will also help strengthen its presence in North America and Europe.

Tastewise’s platform uses real-time data from recipes, menus, social media, and brand sources to create marketing content and product ideas.

The platform is reportedly used by 80% of the top global food and beverage companies, including Mars, Kraft Heinz, and Campbell’s.

Founded in 2018, the company has 100 employees and plans to hire more in AI and data science across its global offices.

🔗 Source: Calcalist

🧠 Food for thought

1️⃣ AI investments in food tech reflect a rapidly expanding market

Tastewise’s $50 million Series B is part of a broader explosion in food AI investment, reflecting the urgent digital transformation happening across the food and beverage industry.

Market projections show the AI in food and beverages sector growing at a CAGR of 39.1% from 2024 to 2030, with the market valued at $8.45 billion in 2023 1.

Even more aggressive estimates suggest this market could reach $311.6 billion by 2033, growing at 43.7% annually, making it one of the fastest-growing applications of AI technology 2.

This rapid investment growth directly correlates with increasing pressure on food companies to adapt to volatile market conditions, including ingredient inflation and changing consumer preferences highlighted in the original article.

The substantial funding rounds for companies like Tastewise demonstrate that investors see AI as essential infrastructure rather than optional technology for the future of food production and marketing.

2️⃣ Food giants facing unprecedented market pressures are turning to AI for survival

Major food manufacturers are racing to adopt AI solutions as they confront multiple simultaneous challenges that traditional approaches cannot address quickly enough.