Demaze Technologies
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Demaze Technologies is an AI and software development firm based in Ahmedabad, India. Founded around 2019 (six years of operation mentioned), the company has 35+ engineers working across AI, web and mobile development, SaaS, e-commerce, and cloud services. Krupal Chaudhary is the founder and CEO. The firm positions itself around AI-first development, claiming 45+ completed projects and $10M+ in client value generated. Unlike many offshore shops that treat projects as discrete deliverables, Demaze emphasizes long-term partnership and end-to-end involvement from concept through deployment.
Services and capabilities
Demaze organizes its offerings into five main buckets: AI & ML, Web/Mobile/SaaS, E-commerce, Cloud, and Industry-specific solutions.
On the AI side, they build predictive analytics systems, NLP and conversational AI, computer vision, generative models, recommendation engines, and AI dashboards. The stack includes LangChain, Python, TensorFlow, OpenAI APIs, Hugging Face, and Pinecone for vector databases.
For applications, they develop web apps, mobile apps (iOS/Android implied), custom SaaS platforms, PWAs, workflow automation, and API integrations. E-commerce work spans D2C and multi-vendor marketplaces, AI-powered personalization, subscription/rental billing, payment and fraud protection, inventory and fulfillment integration, and storefront UX.
Cloud services cover migration and modernization, cloud-native app development, multi-cloud and hybrid architectures, security and compliance, observability and performance optimization, and disaster recovery. They work with AWS, Google Cloud, and Azure based on their listed capabilities.
Beyond that, they claim competency in 15+ vertical markets: healthcare (EHR, telemedicine, hospital management), fintech (digital payments, mobile banking, lending platforms, crypto wallets), logistics (delivery management, fleet tracking, warehouse and route optimization), retail (POS, inventory, loyalty, omnichannel), eCommerce, education (LMS, virtual classrooms, AI tutoring), BFSI (core banking, insurance, loan origination), sports and gaming, energy and utilities, real estate, media and entertainment, HR tech, legal tech, food and beverage, social commerce, and manufacturing/B2B.
Notable work
Their portfolio includes a few named projects. They built an AI-based software platform for an unnamed "one of India's largest luxury car dealerships" handling used car valuation, new car EMI calculations, car refurbishment management, and a sales backend. Another project is an investigative case management system for private investigators, featuring AI-powered tools, document automation, secure storage, and web-based access. They also developed an AI-powered luxury e-commerce platform focused on sustainability with personalization, live selling, product authentication, and custom CMS. A fourth project, Sukoon Unlimited, is a senior engagement platform offering coaching, meetups, and community features to reduce isolation among elderly users.
How they work
Their process follows a four-step model: Discover & Define (workshops and research to set requirements and success metrics), followed by three unnamed steps. The source does not specify sprint length, communication cadence, team structure (dedicated vs. augmentation), or pricing models. They mention working with both startups and enterprises but provide no details on engagement terms, contract lengths, or cost ranges. The FAQ section appears in the source but answers are not filled in.
Team and credentials
The company has 35+ team members and has been operating for at least six years. Krupal Chaudhary is the founder and CEO. No certifications (ISO 27001, SOC 2, GDPR compliance, etc.) are mentioned. No partner badges (AWS, Google Cloud, Microsoft, Shopify) appear in the source. No Clutch, G2, or third-party review scores are provided. The website does not list team bios, prior employment, or specific domain expertise by individual. English-language capability is assumed given the market and website language, but proficiency is not explicitly stated.
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