Real engineering systems, real technical constraints, and verified production outcomes shipped for fast-moving startups and enterprises.
End-to-end platforms, MVPs, and intelligent systems deployed in production.
EulerHive designed and engineered the complete AmpsNow renewable energy website and digital platform using Next.js, Node.js, MongoDB, Payload CMS, and Vercel, achieving a 100/100 Lighthouse score, seamless Best.Energy IoT integration, and robust local SEO foundations in 6 weeks.
EulerHive engineered JunixHQ as an AI-powered B2B sales automation SaaS platform using Next.js, Python/FastAPI, MongoDB, and dedicated AWS infrastructure, featuring real-time Server-Sent Events (SSE) processing, Bright Data enrichment, and OpenAI personalization in 2–5 seconds per lead.
EulerHive engineered GharSelect as a full PropTech web application for property discovery, custom CMS management, agent/promoter workflows, and Gujarat RERA real-estate data processing using Next.js, Python, MongoDB, and Vercel.
Representative system architectures, high-throughput data pipelines, and AI systems engineered by EulerHive.
Architected a resilient event-driven data processing pipeline handling high-throughput event streams with sub-second ingestion, real-time transformations, and automated schema evolution.
Engineered an enterprise-grade AI knowledge platform featuring hybrid vector search, context-aware query reranking, and strict role-based permission boundaries across proprietary datasets.
Designed and delivered a production-ready multi-tenant SaaS application from architecture design to global production deployment in 4–8 weeks, supporting rapid customer acquisition.
Tell us what you're building. We'll review the problem, technical requirements, and the fastest sensible path to production.
30 minutes • Google Meet
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