Veraeaty is an AI-driven meal planning platform that helps users cook smarter and plan meals tailored to their dietary needs and lifestyle. Evolotek built Veraeaty from scratch — starting with user research, AI capability planning, and UI/UX design, all the way to AI model training, app development, feature engineering, and deployment. The product includes smart meal recommendations, AI cooking assistance, nutrition tagging, and automated grocery list generation. Post-launch, Evolotek provides ongoing support through AI refinement, new feature rollouts, performance improvements, and continuous updates to enhance user engagement and personalization accuracy.
Indian families face a complex daily challenge: planning meals that respect dietary preferences, cultural tastes, health goals, and time constraints—all while managing grocery lists and cooking instructions. Existing meal planning solutions were either too generic (not understanding Indian cuisine) or too manual (requiring extensive input). No platform combined AI intelligence with deep cultural understanding to make meal planning truly effortless for Indian households.
Evolotek architected Veraeaty as a multi-layer AI system with an elegant user experience. We built a proprietary Meal Brain Engine that understands family size, individual profiles, taste patterns, dietary preferences (veg, vegan, Jain, low-carb, high-protein), regional cuisines, cooking time availability, and weekly goals. The system generates complete weekly meal plans—breakfast, lunch, dinner, snacks—in under 60 seconds. We trained the AI with Indian recipes, cultural meal structures, seasonal variations, and nutritional data to ensure plans feel local, not generic. Smart grocery planning generates itemized lists with quantities split by store type. The interface features a swipe-based weekly planner, 1-tap meal swapping, cooking-mode instructions, and interactive nutrition cards—all optimized for zero cognitive load. Behind this sits a scalable cloud-native architecture with modular services, AI orchestration layers, and a recipe graph database, built for millions of households.
Proprietary recommendation system that learns from family profiles, taste patterns, dietary preferences, regional cuisines, and cooking time to generate personalized weekly meal plans in seconds
Trained on Indian recipes, cultural meal structures, seasonal ingredients, and nutritional compositions to deliver plans that feel authentically local, not generic
Auto-generated itemized grocery lists with quantities per family member, split by store type, with pantry tracking and real-time adjustments based on meal changes
Modern mobile interface with 1-tap meal swapping, cooking-mode instructions, interactive nutrition cards, and family profile management designed for effortless planning
AI dynamically tunes to household feedback, adjusting future recommendations based on skipped meals, ratings, and preference changes
<60 sec
Meal Planning Time
94%
AI Accuracy
5000+
Recipe Database
85%
User Retention