Founded 2019 · Global · 20+ Engineers · 15+ Clients
We Build Systems That Compound,
Not Costs That Accumulate
Madgical Techdom is a global AI systems and engineering firm founded by four engineers who saw the same problem across every company they worked with: the gap between what technology could do and what engineering teams were actually delivering. We exist to close that gap – through Agentic AI, DevOps, and cloud engineering built for production, not slide decks.
Our Story
Why We Started
In 2019, four engineers – Tarun Arora, Kapil Jain, Siddhartha Jain, and Vivek Vashistha — founded Madgical Techdom with a specific thesis: enterprise technology needs are complex, but most engineering firms either over-promise on strategy and under-deliver on execution, or disappear once the POC is built. Neither approach creates lasting value.
We started with DevOps and cloud infrastructure — the unsexy, essential work of making systems reliable, scalable, and cost-efficient. Over six years, as our clients' problems evolved, so did we. Logistics companies needed to process 50,000+ daily shipments autonomously. Fintech companies needed payment stacks that wouldn't deadlock under load. AI-forward companies needed multi-agent systems that could actually govern themselves in production. We built all of it.
The name “Madgical Techdom” reflects what we believe technology should be: something that feels almost magical in its outcomes, but is built on rigorous engineering discipline. Every tool, every system, every deployment we’ve shipped since 2019 has been held to one standard — does it run in production and deliver measurable business value? If yes, it ships. If not, it doesn’t.
How We Work
Six principles that govern every engagement we take on.
Our Engineering Philosophy
Technology isn't a cost centre. It's leverage, reducing costs, accelerating delivery, enabling growth, and maximizing measurable business impact at scale.
Anyone can build prototypes. We build production systems that scale, handle failures gracefully, and deliver reliable performance long after launch.
We choose proven technologies first, adopting new solutions only when they deliver clear business value, measurable outcomes, and sustainable advantages.
We build monitoring, alerting, and observability into every system, ensuring issues are detected before users experience disruption or downtime.
We don't write strategy documents and hand them over. We stay in the work — PR reviews, architecture calls, outcome accountability from implementation.
We favor simple, proven architectures that deliver reliability, adopting complexity only when it creates clear, measurable business value consistently.
The Team
Meet the Founders
Every engagement is led by a named practitioner. Not an account manager.
Kapil Jain Co-founder & CTO
AI, Data & Systems Architecture
Kapil leads Madgical Techdom’s AI, data engineering, and architecture practice. He has delivered enterprise AI, real-time data platforms, and cloud-native systems, enabling industry-leading 95% NL-to-SQL accuracy, faster reporting, and scalable AI deployments across logistics and enterprise environments
Tags: LangGraph · LangSmith · RAG+ · Qdrant · Multi-agent Systems · LLMOps · FastAPI · PostgreSQL · Kafka · Debezium · CDC · AWS · Azure
Tarun Arora Co-founder & CEO
DevOps, Cloud & Security Leadership
Tarun leads Madgical Techdom’s DevOps, cloud engineering, and security practice. He has delivered enterprise cloud platforms, Kubernetes infrastructure, and DevSecOps solutions that reduced AWS costs by 60%, improved uptime by 40%, and enabled scalable, zero-downtime systems across multiple industries.
Tags: Kubernetes · Terraform · AWS · GCP · Azure · DevSecOps · CI/CD · Cloud Security · ArgoCD · Karpenter · Prometheus · Grafana
Siddhartha Jain Co-founder
Business Strategy & Client Growth
Siddhartha leads Madgical Techdom’s business strategy and client partnerships practice. He drives commercial growth by connecting engineering capabilities with business outcomes, helping founders, CTOs, and enterprise leaders build technology strategies across logistics, fintech, OTT, and digital transformation initiatives.
Tags: Business Strategy · Client Partnerships · Logistics · Fintech · OTT · Engagement Design
Vivek Vashistha Leads Mobile Engineering
Mobile Engineering & Product Delivery
Vivek leads Madgical Techdom’s mobile engineering and product delivery practice. He has delivered enterprise-grade mobile applications with React Native, offline-first architecture, SmartTOS integration, Azure OCR processing, and automated testing across iOS, Android, and Web platforms.
Tags: React Native · Expo · TypeScript · Zustand · SQLite · iOS · Android · Web · Maestro · Offline-first Architecture
Measured In Production
By the Numbers
Six years of production engineering, across 15+ clients and 3 core verticals.
2019
Founded
20+
Engineers on the Team
15+
Client Companies Served Globally
3
Core Verticals
6
Years Building for Production
4
Co-founders
How We Engage
Our Engagement Model
Three structured steps – from diagnosis to delivery.
Structured assessment of current technology posture — architecture, team, delivery pipeline, and cloud infrastructure. Identify what's working, what's failing silently, and what's about to become a problem.
Structured roadmap with clear KPIs and milestones. Not a 60-slide deck — a working document that tells your engineering team exactly what to build, in what order, and how to measure success.
Architecture reviews, PR oversight, vendor evaluation, team advisory, and ongoing technical leadership. We measure success by what changes in your system, not by deliverables handed over.
Want to Work With the Team Behind This?
Book a free 30-minute consultation. We’ll understand your current situation and tell you honestly whether we’re the right partner – and if we are, what we’d build first.
No commitment. No sales pitch. Just engineers talking about your engineering problem.




















