Agrizy, a tech-led contract research, development and manufacturing organisation (CRDMO) for global food and beverages and wellness brands, has introduced its proprietary GenAI-powered formulation platform that powers internal product development workflows.
A media statement said that the platform can turn product concepts into manufacturing-ready formulations in minutes, compressing typical new product development (NPD) cycles with respect to timelines and cost by up to 40 per cent.
Agrizy’s solution provides ranked formulation options along with ingredient quantities, costing insights, nutritional and allergen analysis, compliance validation, and export-ready lab documentation, enabling NPD teams to significantly accelerate product development workflows.
Integrated AI copilot
It said that the teams can define key product parameters such as category, packaging options, target cost, shelf life, formulation preferences, marketing claims, ingredient restrictions and sensory or performance profiles and receive actionable formulation outputs within minutes.
The platform also includes an integrated AI copilot that enables teams to formulate or re-formulate products using natural language instructions. This AI-assisted workflow allows continuous optimization across ingredients, claims, compliance requirements, nutrition profiles and end-use performance parameters, making the product development process faster, smarter, and significantly more iterative.
Every approved formulation feeds directly into Agrizy’s in-house labs, where real-world bench trial data, including yield, stability, sensory results and quality parameters continuously sharpen the AI’s recommendations. This ensures the system improves with every batch, not just every model update, the statement said.
Solving inefficiencies
The platform’s differentiation is built on three layers that are difficult to replicate: an India-specific ingredient ontology tagged with FSSAI, FDA and EFSA regulatory status; formulation memory that learns from failed combinations, not just successful ones; and constraint guardrails, it said.
Quoting Arun Markish, Co-Founder and CTO of Agrizy, the statement said the innovation in formulation science has traditionally depended on fragmented workflows, repeated manual experimentation and disconnected validation cycles.
“We engineered the system to solve core inefficiencies and unify ingredient ontology, formulation logic, regulatory constraints, and lab feedback into a single intelligence layer that continuously improves with every iteration. This allows research and development and product teams to simulate, refine and validate formulations with greater accuracy before moving into physical trials, significantly improving development efficiency, scalability and speed to market,” Markish said.
Published on May 12, 2026