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Wednesday Solutions

AI-native product engineering for startups and enterprises that need speed and scale

United States, Ohio51-200 people

About

Wednesday Solutions has built mission-critical products for over 50 global brands, including Y Combinator and Sequoia-backed startups, unicorns, and publicly listed enterprises. More than 10% of India's unicorns have trusted the company with their product engineering. Founded in 2020 and headquartered in India with a team of 50 to 75 employees, Wednesday Solutions maintains a 4.8 out of 5 rating on Clutch across 23 reviews, reflecting consistently high client satisfaction in a competitive market. The company specializes in three core areas: product engineering, data engineering, and applied AI. Their product engineering practice builds AI-native applications across web, mobile, TV, and IoT platforms using small, AI-enabled teams that work in fast sprints. They apply DataOps principles to create cost-effective data pipelines for strategic decision-making. Their applied AI work transforms large language models and proprietary data into competitive advantages through AI agents, automated workflows, and intelligent product features. This technical depth spans financial services, information technology, and medical industries, serving clients from small businesses to enterprises. Wednesday Solutions structures its engagement models around client maturity and needs. Their Launch service takes products from MVP to product-market fit. Amplify helps companies build complementary products to capture market share. Control provides high-speed execution for enterprise teams facing tight deadlines. Catalyse offers staff augmentation with senior engineers and designers. The team documents their methods publicly through an open-source playbook and active GitHub repositories, providing transparency into their processes before clients commit. Clutch has recognized them as a top company in AI, data, and application development, and their Net Promoter Score ranks among the highest in their category.

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Team Size
51-200