A Platform ToBuild.
We engineer AI-powered products, cloud-native platforms, mobile applications, and intelligent automation — purpose-built for the compliance, security, and scalability needs of regulated industries.
Proven Solutions Across Industries
Real-world systems built to solve complex problems at scale.
Centralised Maintenance Management System
Eliminated unplanned downtime across distributed generator fleet
Challenge
Manual maintenance tracking across multiple SCADA-connected generator sites — inefficient, error-prone, with no cross-site visibility.
- No single source of truth for maintenance schedules across distributed sites
- SCADA systems at each site operated in silos with no integration layer
Solution
Automated scheduling engine with SCADA integration, role-based dashboards, and real-time email alerting for proactive maintenance.
01
Key Outcomes
- 1
Zero unplanned downtime incidents in the 12 months post-deployment
- 2
Maintenance task completion rate increased from 61% to 97%
- 3
Automated scheduling reduced administrative overhead by 40%
- 4
Real-time dashboards adopted by operations teams across all sites
From the engineering desk
Technical deep-dives, architecture decisions, and lessons learned building software at scale.
Surviving the Spike: Scaling to 10M Concurrent WebSockets
When a global streaming event caused traffic to surge by 40,000% in minutes, traditional auto-scaling couldn’t react fast enough.We designed a system built for spikes—pre-warmed infrastructure, optimized WebSocket handling, and a simplified routing layer—to support over 10 million concurrent connections without compromising latency or reliability.
Strangling the Monolith: Zero-Downtime Migration for a Tier-1 Bank
Ripping out a 30-year-old mainframe while processing $5B in daily transactions. We detail the shadow-routing layer and dual-write database strategy that made the switch completely invisible to end users.
Sub-10ms Analytics: Pushing Inference to the Manufacturing Edge
Cloud round-trip latency is too slow for robotic defect detection on a live assembly line. Here is how we deployed highly quantized computer vision models directly onto ruggedized factory-floor hardware.
Ingesting 5 Petabytes a Day: Rebuilding Our Data Pipeline in Rust
When our telemetry pipeline began buckling under its own weight, just adding more Kafka nodes stopped working. A deep dive into custom partitioning strategies and ditching JVM overhead to reclaim throughput.
Taming LLM Hallucinations in Clinical Triage Routing
Building an automated clinical routing system where mistakes are catastrophic. We share the architectural blueprint of our deterministic guardrail layer and RAG pipeline that strictly enforces medical ontology.
Automated Ephemeral Environments for 500+ Engineers
Staging environments were our biggest bottleneck. We built a custom Kubernetes operator that spins up completely isolated, data-anonymized replicas of production for every single pull request in under 90 seconds.
Strangling the Monolith: Zero-Downtime Migration for a Tier-1 Bank
Ripping out a 30-year-old mainframe while processing $5B in daily transactions. We detail the shadow-routing layer and dual-write database strategy that made the switch completely invisible to end users.
Sub-10ms Analytics: Pushing Inference to the Manufacturing Edge
Cloud round-trip latency is too slow for robotic defect detection on a live assembly line. Here is how we deployed highly quantized computer vision models directly onto ruggedized factory-floor hardware.
Ingesting 5 Petabytes a Day: Rebuilding Our Data Pipeline in Rust
When our telemetry pipeline began buckling under its own weight, just adding more Kafka nodes stopped working. A deep dive into custom partitioning strategies and ditching JVM overhead to reclaim throughput.
Taming LLM Hallucinations in Clinical Triage Routing
Building an automated clinical routing system where mistakes are catastrophic. We share the architectural blueprint of our deterministic guardrail layer and RAG pipeline that strictly enforces medical ontology.
Automated Ephemeral Environments for 500+ Engineers
Staging environments were our biggest bottleneck. We built a custom Kubernetes operator that spins up completely isolated, data-anonymized replicas of production for every single pull request in under 90 seconds.
What we build
Six disciplines, one engineering team. From zero-to-one MVPs to enterprise AI and legacy modernization — end-to-end across every layer of your stack.
Full-Stack Engineering
Cross-platform web and mobile systems — pixel-perfect interfaces backed by resilient APIs, built for enterprise scale.
Product & MVP Studio
From hypothesis to launch. We design, scope, and ship lean products that validate fast without burning your runway.
AI Agents & Automation
Autonomous agents tailored to your data — automating decisions and workflows that used to take entire teams.
Data Intelligence
Custom models, forecasting, and dashboards — embedded directly into the workflows your team already lives in.
Systems Integration
Resilient API frameworks that harmonize disparate services and third-party platforms across your ecosystem.
Modernization & Care
Re-architect legacy monoliths into cloud-native services — with SLA-backed support to keep them running clean.
Enterprise Architecture
Every system we build follows a layered blueprint — client, logic, intelligence, and foundation — engineered to scale and secure by default.
Client Layer
01Web Portal
Responsive interfaces
Mobile Apps
iOS & Android native
Logic Layer
02Microservices
Domain-isolated services
Orchestration
Event-driven workflows
Intelligence
03AI Agents
Autonomous decision-making
Vector DB
Embeddings & semantic search
Foundation
04Hybrid Cloud
AWS / Azure / GCP
Zero-Trust
Security-first access
The Bigstrum Impact
Maintenance Cost Reduction
vs. legacy maintenance spend
Delivery Velocity
faster time-to-production
AI Compatibility
cloud-native, model-ready
*Averages based on 2025–2026 enterprise modernization audits.
Engineering for industries where failure is not an option.
In high-stakes environments, software cannot break, lag, or fail silently. We engineer systems that are secure, scalable, and built to withstand real-world complexity—across cybersecurity, healthcare, government, and enterprise.
Secure Enterprise Platforms
Compliance-heavy systems built for audit-readiness. Every access control, log, and data boundary is engineered from the ground up — not retrofitted after the fact.
AI-Driven Workflows
From model selection to production guardrails. We build pipelines that reduce manual overhead without introducing unpredictable behaviour at scale.
Mission-Critical Infrastructure
Event-driven architectures designed for 99.9% uptime in regulated, latency-sensitive environments. Built to hold under real production load.
Understand First
We map your constraints, compliance requirements, and failure modes before a single line of code is written. No assumptions.
Design for Reality
Architecture is reviewed against your actual operating environment — your team size, your scale, and the edge cases that matter most.
Own the Outcome
One team carries full accountability from the first commit through to production deployment, monitoring, and iteration.
Let's Build Something Together
Tell us about your project. We'll respond within 24 hours with ideas and next steps.
Response time
Custom build
Discovery call
Free Consultation
30-min discovery call, no commitment
info@bigstrum.in
Phone
+91 7675-012174
Address
Pranava Business Square, Unit 2, 3rd Floor, Kondapur, Laxmi Cyber City, Whitefields, Gachibowli, Hyderabad, 500084
Ready to start?
Book a discovery call
30-minute conversation with our engineering team. No sales pitch — just a focused chat about your project.
- Your project goals and timeline
- Technical requirements and constraints
- Recommended architecture approach
- Rough scope and next steps
Industries We Serve