Case Studies

Real Projects, Measurable Results

See how we help startups and enterprises build production-grade data platforms, AI systems, and SaaS products.

Data EngineeringSeries C FinTech Platform12 weeks4 engineers

Scaling a 100TB+ Data Pipeline for a Financial Platform

A rapidly growing financial platform was struggling with data pipeline failures, escalating cloud costs, and processing delays that impacted downstream analytics and compliance reporting. Azminds rebuilt their entire data infrastructure on Databricks, delivering 60% faster processing and 40% cost reduction.

60%
Faster Data Processing
40%
Infrastructure Cost Reduction
99.8%
Pipeline Reliability (SLA)
0
Missed Regulatory Deadlines
AI DevelopmentEnterprise Insurance Company10 weeks3 engineers

AI Automation System for Document Processing

An enterprise insurance company was spending thousands of hours annually on manual document review, data extraction, and claims processing. Azminds built an AI automation system using LLMs and RAG pipelines that reduced manual work by 70% and cut processing time from days to minutes.

70%
Reduction in Manual Processing
95%
Extraction Accuracy
Minutes
Processing Time (from Days)
3x
Processing Capacity Without New Hires
Product EngineeringPre-Seed B2B SaaS Startup8 weeks3 engineers

SaaS Product Development from MVP to Production

A pre-seed startup needed to build and launch their B2B SaaS product fast enough to demo for investor meetings while ensuring the architecture could scale post-funding. Azminds delivered a production-ready MVP in 8 weeks with clean architecture, CI/CD, and infrastructure that handled 10x growth without rewrites.

8 weeks
Concept to Production Launch
$0
Post-Launch Architecture Rewrites
10x
Traffic Scaling Without Changes
Funded
Seed Round Closed Post-Demo

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