16+
Years of hands-on technology leadership

About the company
Motospear is an enterprise technology company covering architecture, engineering, cloud, SAP, automation, intelligence, and AI — shaped by live systems, not slideware.
The company
Over 16 years, Motospear has moved through the full stack of enterprise technology: networks, servers, security, and virtualization first; then application development, mobile, integrations, and analytics; then SAP Cloud and BTP; and now AI tools that have to live inside real operations.
That sequence matters. Expertise here is not a list of tools learned in isolation. It is the ability to see how a warehouse, a customs desk, a shop floor, or a finance team actually works — and then design the system, the integration, and the run model around that reality.
60+ production projects have been delivered across 17 business domains. The work spans shipping and freight, warehouse and cold storage, transport, healthcare, pharma distribution, manufacturing, hospitality, retail, and education. The same discipline applies whether the outcome is a Flutter field app, a NEXTJS operations platform, a CPI flow, a Power BI control tower, or a governed LLM inside an existing portal.

Networks first. Applications next. AI only when operations can hold it.
16+
Years of hands-on technology leadership
60+
Projects taken through to production
17
Industries with live delivery
3
Clouds architected and maintained
How we work

We ship systems operators will use on Monday morning — not slideware that dies after the demo.

Architecture, build, integration, and run sit together. Clients never assemble a puzzle of vendors.

Shipping, warehouse, manufacturing, healthcare, and finance language is already known. We start closer to the work.

AI enters production with review, data boundaries, and a measurable job — never as a fashion statement.
Leadership

Founder & Head of Technology
Leads architecture, delivery, SAP BTP, and AI practice. 16+ years from infrastructure to production intelligence across 17 industry domains.

Architecture, engineering, and client leadership based in India.

Remote-first engagement for teams across time zones, with production ownership that does not stop at handover.

Workloads designed and run on AWS, Microsoft Azure, and Google Cloud.
Expertise
Clients hire the combination — architecture, build, integration, and run — so a mobile app, an SAP extension, a cloud landscape, and an AI feature can be owned as one system.
End-to-end design across applications, data, APIs, identity, and cloud — so the build has a map before the first sprint.
NEXTJS, Angular, Flutter, .NET, Spring Boot, and Node.js used for production systems, not demos.
AWS, GCP, and Azure architecture, pipelines, security, and day-2 operations with a single accountable team.
Public Cloud in-app work, RAP / Embedded Steampunk, CAP, Build Apps, and CPI integrations beside a clean digital core.
Copilots, document intelligence, RAG, and governed LLMs on Bedrock, Azure OpenAI, Vertex AI, and SAP Joule.
Power Automate, n8n, UiPath, Blue Prism, and executive BI on Power BI, Tableau, QuickSight, and Zoho Analytics.
Experience achieved

Document control, warehouse and cold storage, customs and job management, hospital billing, pharma distribution, travel and transport — systems designed for operators, not only for a demo day.

Driver apps and manufacturing floor apps that sync with the backend in real time, so status is captured where the work happens instead of after the fact.

AWS, Azure, and GCP landscapes implemented with DevOps, security, and maintenance — so the platform stays healthy after go-live, not only on launch week.

In-app extensibility, RAP / Embedded Steampunk, CAP, Build Apps, and CPI integrations that add capability beside SAP Public Cloud without breaking the standard.

Approvals, document movement, and batch operations on Power Automate, n8n, UiPath, and Blue Prism — plus executive KPI towers on Power BI, Tableau, QuickSight, and Zoho Analytics.

Copilot-led delivery, document intelligence, conversational assistants, and RAG knowledge bases on Bedrock, Azure OpenAI, Vertex AI, and SAP Joule — with data boundaries and human review where it matters.
Domains
Expertise is sharper when the industry language is already known. These are sectors where systems have already been designed, integrated, and run.

Language already known. Systems already run.