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Dog food startup teams up with Harvard to accelerate AI-driven pet nutrition

Natasha Spencer-Jolliffe 19 May 2025

A premium dog food startup is teaming up with Harvard to enhance its artificial intelligence (AI) platform and accelerate pet nutrition product development.

Dog food startup teams up with Harvard to accelerate AI-driven pet nutrition
© AdobeStock/Pixel-Shot

In April, PawCo Foods – which claims to be the first plant-based dog food brand using AI technology to improve the nutrition and palatability of its products – announced the strategic partnership with Harvard Data Analytics Group (HDAG), a non-profit student organisation at Harvard College.

The collaboration is hoped to accelerate the development of PawCo's new product line, fully generated by its existing AI platform and verified by board-certified animal nutritionists, to deliver the healthiest pet food in the industry.

In doing so, the company hopes to disrupt the pet food industry and “end the dominance of unhealthy options from established players”.

Using AI to accelerate pet food formulations

PawCo strives to create healthy, tasty, fresh, and balanced meals, entirely generated by its AI platform. Designed for dogs at all life stages, its products are designed to exceed standards set by the Association of American Feed Control Officials (AAFCO).

PawCo’s proprietary AI systems analyse complex nutritional datasets. Its AI-based technology plays a vital role in its R&D process, helping the company to optimise its recipes for nutritional completeness, taste, digestibility, and ingredient quality.

AI also enables the brand to quickly bring new novel developments to market, including personalised feeding experiences for dogs of all sizes, ages, and lifestyles.

Leveraging its data-driven methodology, PawCo developed 11 nutritional formulations in two years – a feat it said typically takes traditional pet food companies 10 years to achieve.

The brand has formulated its recipes to be rich in protein, low in fat, and contain all essential amino acids, vitamins, and minerals, along with fresh fruits and vegetables.

“PawCo’s vision is to create a healthier and happier generation of dogs through better food, made more accessible by lower costs,” said Dr Mahsa Vazin, founder and CEO of PawCo.

Advancing AI to progress pet food formulations

Using PawCo’s existing AI platform, HDAG will help the brand improve its technology’s capabilities, including ingredient selection, nutritional modelling, and product development.

PawCo hopes these advancements will spur further high-performing and scientifically backed dog nutrition products to meet increasing consumer demand.

“We are beyond excited to work with the brilliant minds at Harvard to make that possible. Their passion for innovation and data science perfectly complements our mission to deliver the healthiest, most sustainable meals to dogs everywhere – more efficiently and intelligently than ever before,” Vazin added.

By advancing PawCo’s AI platform, HDAG said its contribution will help create smarter and more sustainable dog nutrition.

“Our core mission is leveraging AI and data to disrupt different industries, so it is incredibly exciting to partner with companies like PawCo who want to leverage data and AI technology to make the world a better place for our lovely companions,” said HDAG CEO Carlos Luz.

AI: An increasingly prominent tool in pet food development

Increasingly, AI is becoming a prominent tool in pet food development.

AI was a core theme at Petfood Forum 2025, a series of events exclusively for the global pet food manufacturing industry. The technology’s presence is growing in product development, trend predictions, consumer engagement, and personalised pet nutrition plans.

In 2025, the pet food market revenue is expected to reach $158.42 billion (€140 bn). A growing market, this figure is expected to rise annually by 5.79% between 2025 and 2030.

Simultaneously, AI has a growing and innovative presence in the food technology sector, which is anticipated to be worth $27.73 billion (€24.5 bn) by 2029.

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