Findability Sciences has unveiled LactaAI, an industrial intelligence platform designed specifically for dairy and whey processing plants. The platform promises to deliver significant operational and financial gains, targeting up to Rs 28 crore in annual value per plant through yield improvements, reduced energy intensity, and faster decision-making.Depending on plant scale and product mix, LactaAI™ can help large dairy operations achieve 0.5–1.5 percentage point yield improvements, cut energy intensity by 5–10% in evaporation and drying processes, and shorten decision cycles across operations and finance. “Dairy plants do not need more dashboards. They need decision-ready intelligence,” said Anand Mahurkar, Founder and CEO of Findability Sciences. “In a high-volume dairy operation, even a one percentage-point yield improvement creates major financial impact.”
Two products, one platform
LactaAI™ integrates two core capabilities:* Lacta Insight: Provides real-time process intelligence across milk reception, evaporation, drying, packaging, and utilities. It helps processors move from reactive firefighting to predictive, optimized performance. * Lacta Insight Prime: Built for fluid milk, cheese, yogurt, butter, and cultured dairy. * Lacta Insight Nexus: Tailored for advanced whey processing, including WPC, WPI, lactose, permeate, and MPC.* Lacta BPC: A conversational AI layer that reads across ERP, MES, LIMS, and BI platforms, reconciles data, applies business logic, and delivers sourced answers with supporting analysis in natural language.The platform connects with existing plant and enterprise systems — including PLC, SCADA, DCS, process historians, MES, ERP, LIMS, and BI — without requiring core system replacement. This ensures that plants can adopt LactaAI without disrupting their current infrastructure.India’s dairy sector, one of the largest in the world, generates millions of signals daily across intake, production, quality, and utilities that often go unused. LactaAI™ is designed to close this gap by answering three critical questions in real time: what is happening, why it is happening, and what to adjust. Mahurkar emphasized: “AI in dairy cannot remain a pilot-room conversation. It has to work inside the plant, where variability, energy costs, yield pressure, and downtime risk are real. LactaAI is Applied AI for the economics of dairy processing.”
