Appinop Technologies
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21 reviews
External Reviews
Technologies
Services
Notable Clients
Appinop Technologies is a Bangalore-based AI and software development firm founded over 10 years ago. It claims to have delivered 350+ products across 12 countries with a 96% satisfaction rate, and currently employs 200+ engineers. The company positions itself primarily as an AI-first development shop, though it also offers mobile apps, blockchain, web development, and digital transformation services. Most of its case studies involve on-demand platforms (ride-sharing, food delivery, healthcare), fintech (crypto exchanges, payment systems), and consumer apps (dating, astrology).
Services and capabilities
Appinop organizes its work around nine service lines. AI engineering covers custom models, chatbots, recommendation engines, NLP, computer vision, and generative AI integration—the company claims 75+ AI solutions and 50+ deployed models. Blockchain development includes smart contracts, DeFi platforms, NFT marketplaces, and crypto exchanges on Ethereum and Solana. Mobile development spans native iOS/Android, React Native, Flutter, and wearables. Web development uses React, Angular, Vue.js, and Node.js for progressive web apps, SaaS platforms, and custom CMS tools. It also lists enterprise software (ERP, CRM, inventory), digital transformation (legacy modernization, cloud migration), e-commerce platforms, and data science/analytics.
For on-demand platforms specifically, Appinop markets battle-tested templates: ride-sharing with AI-powered matching, food delivery with restaurant recommendation and route optimization, grocery delivery with inventory management, and home services with provider scheduling. The company claims these solutions power 50M+ rides, 10M+ food orders, 5M+ grocery deliveries, and 3M+ home services across 25+ countries.
Appinop highlights several technical credentials. It claims SOC 2 Type II compliance, ISO 27001 certification, GDPR readiness, and HIPAA capability. For cloud, it lists AWS, Azure, and GCP certifications. Its tech stack includes TensorFlow, PyTorch, AWS SageMaker, Azure ML, Docker, Kubernetes, OpenAI GPT, Claude, and LLaMA. The company also mentions NVIDIA, Databricks, Snowflake, MongoDB, and Vercel as technology partners.
Notable work
BitDelta, a global crypto exchange, processes 2M+ active users across 130+ countries and handles spot and derivatives trading. Appinop built the trading engine and platform infrastructure. Flitpay is described as an India-focused crypto exchange with 500K+ users and a 4.5-star rating. MINTIT, a smart mutual fund investing app, serves an unspecified user base. Bodhi, an AI-powered astrology app, claims 5M+ downloads and a 1M+ daily active user count. Once Dating, a dating app, reports 1M+ users and a 4.6-star rating. Tuning Empire, an Australian performance parts marketplace, counts 5,000+ sellers and 15K+ reviews.
Appinop also references client testimonials with numbers: a fintech startup (Marcus Chen, TechScale Ventures) claims a platform handling $50M+ daily transaction volume with 200K+ users launched in 5 months; an on-demand delivery client (Ahmed Al-Rashid, Dubai) launched in 6 weeks; a healthcare platform (David Mitchell, Sydney) reports a 40% improvement in patient outcomes after AI diagnostic integration; an education platform (Sarah Williams, London) serves 500K+ students; a grocery delivery app (Priya Sharma, Bangalore) processes 100K+ orders daily with a 35% increase in average order value from AI recommendations; a logistics client (Michael Weber, Germany) reduced delivery costs by 35% with route optimization AI; a fitness app (Jennifer Thompson, US) reached 800K active users and an Apple feature; a gaming studio (Takeshi Yamamoto, Japan) achieved 5M downloads in one month; and a hospitality chain (Sophie Martin, France) increased occupancy by 28% with AI pricing and concierge.
How they work
Appinop describes a six-phase agile process: discovery and insight gathering (workshops, requirements analysis, feasibility study, tech selection); data acquisition and preparation (collection, cleaning, feature engineering, pipeline setup); model development (algorithm selection, prototype, initial training); training and optimization (hyperparameter tuning, cross-validation, transfer learning); deployment and integration (API development, system integration, cloud deployment); and monitoring and continuous improvement (performance tracking, retraining, A/B testing). The company claims typical AI projects run 8–16 weeks, with simpler integrations as quick as 4–6 weeks and complex enterprise systems taking up to 4–6 months. It operates in 2-week agile sprints with daily standups and claims to deliver 40% faster than traditional cycles. Pricing ranges from $25,000 for simple integrations to $500,000+ for complex enterprise systems, though final quotes depend on data complexity and scope. The company supports US Eastern/Pacific, UK, UAE, Singapore, and Australian time zones with 24/7 global support.
Team and credentials
Appinop has 200+ engineers, including AI engineers, data scientists, and ML architects with an average of 8+ years of experience. The company claims PhDs and Fortune 500 veterans on staff. It holds SOC 2 Type II, ISO 27001, GDPR, and HIPAA certifications. On third-party review platforms, it scores 4.9 on Clutch (50+ reviews), 4.7 on GoodFirms (40+ reviews), 5.0 on DesignRush, 5.0 on TopDevelopers, and 4.8 on Google (100+ reviews). The company operates across USA, UK, UAE, Singapore, Australia, and India, with regional teams providing localized support.
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Client Reviews
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