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Case Studies

Systems Engineered to Perform & Scale

Explore verified deployment outcomes across global enterprise architectures, autonomous AI applications, and optimized multi-platform operations.

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Agentic AI & EdTech

CrackMe – AI Exam Preparation Engine

www.crackme.in

Deployed as a highly responsive mobile application on Android and iOS. CrackMe is not a traditional coaching platform; it is an algorithmic AI-driven testing ecosystem that dynamically outputs customized topic-wise and subject-wise examination questions mapped alongside granular AI explanations.

Instant
AI Question Generation
Cross-Platform
Android & iOS Deployed

Product Features

Topic-Wise Generation Contextual AI Explanations Dynamic Difficulty Scaling
Flutter / React NativeOpenAI / Claude APINode.jsVector Database
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E-Commerce Architecture

Arohm Avail – High-Performance B2B Portal

www.arohmavail.com

Engineered a highly optimized B2B/B2C hybrid commerce hub focused on lightning-fast Core Web Vitals, sub-second product index searchability, and zero-downtime serverless inventory logic handling large catalog updates.

< 800ms
Time to Interactive
99.99%
Infrastructure Uptime

Product Features

Algolia Index Search Real-time Stock Sync Multi-Currency Gateway
Next.js 14+TypeScriptGraphQLPostgreSQL / Supabase
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E-Commerce Architecture

Hashir Foods – Digital Food Retail & Supply Core

www.hashirfoods.com

Designed and engineered a resilient, high-volume digital food retail infrastructure optimized for immediate delivery routing, flexible automated checkout flows, and heavy edge caching for concurrent regional customer requests.

Auto
Data Pipeline Ingestion
Optimized
Checkout Pipelines

Product Features

Intelligent Route API Dynamic Tier-Pricing Automated Invoicing
React.jsTailwind CSSNode.js CoreRedis Cache
Product Overview · Enterprise AI & Modernization

Bizni Compiler AI Moderation – Legacy Assessment & Modernization Decision Support

Explore AI Moderation

Designed to help enterprise teams organise legacy application evidence, investigate dependencies, and prepare better-informed modernization decisions. This product overview covers AI-assisted assessment, IT carve-out preparation, decommissioning readiness, and governed analysis of approved enterprise information. Findings should be validated by accountable technical and business owners.

Evidence-led
Legacy Assessment Support
Human-reviewed
Governed Decision Workflow

Product Focus Areas

Application Dependencies Assessment Evidence IT Carve-Out Planning Decommissioning Readiness Governance & Review On-Premises Data Architecture*

Enterprise Problems Addressed

Helps structure scattered technical documentation, reduce repeated manual discovery, expose questions about cross-system dependencies, organise separation workstreams during a carve-out, and create retirement checklists for data retention, ownership, approval, and post-decommission verification.

Recommended Integration Principles

Approved Data Sources Least-Privilege Access Audit & Retention Controls Human Validation

*On-premises connectivity depends on the selected deployment, supported connectors, and customer security architecture. Confirm availability before making implementation commitments. The demo button links to the broader Bizni Modernize AI platform; verify it demonstrates the experience intended for external visitors.

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