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Manish Patel

I lead technology and client success at Acquaint Softtech with one goal in mind. Deliver work that feels personal, reliable, and worthy of long term trust. I stay close to both our clients and our developers to make sure every project moves with clarity, quality, and accountability.

Building a Health Insurance Claims Processing System: Adjudication and Auto-Pay

A health insurance claims processing system automates claims, eligibility, payments, and denials. It can auto-process 70–90% of claims and typically costs $150,000–$800,000.

Manish Patel

Manish Patel

July 31st, 2026

InsurTech Technical Architecture: APIs, Microservices, Event Streaming, and Cloud Deployment

InsurTech technical architecture is the structural design of an insurance platform: how its services are split, how they communicate, and where they run. A modern architecture uses an API-first design, microservices split along insurance domains, an event-streaming backbone such as Apache Kafka for real-time data flow, and cloud-native deployment on AWS, Azure, or GCP with Kubernetes. The four decisions that define it are the API contract, the service boundaries, the event backbone, and the cloud foundation.

Manish Patel

Manish Patel

July 30th, 2026

Building a Financial Data Warehouse: Transaction Data at Scale

A financial data warehouse centralizes data for faster reporting and analytics. Modern platforms use cloud-based ELT pipelines and can reduce reporting time by up to 70%.

Manish Patel

Manish Patel

July 28th, 2026

Healthcare Data Warehouse Architecture: Building an Enterprise Clinical Data Repository

A healthcare data warehouse (HDW) centralizes patient, clinical, financial, and operational data for analytics and reporting. A modern HDW uses FHIR-based data pipelines and typically costs $70,000–$1,000,000 depending on complexity.

Manish Patel

Manish Patel

July 22nd, 2026

AI in On-Demand Apps: Matching, Pricing, Fraud Detection, and Predictive Analytics

AI in on-demand apps powers four high-value functions: matching customers with the best provider, setting dynamic prices from real-time demand, detecting fraud as it happens, and predicting demand, ETAs, and churn. It works by training machine-learning models on platform data, then serving their predictions live inside the app.

Manish Patel

Manish Patel

July 21st, 2026

EdTech App Development for Students, Teachers & Enterprises

EdTech app development builds mobile learning apps for students, teachers, and professionals. Modern apps support offline learning, personalized experiences, and secure user data.

Manish Patel

Manish Patel

July 20th, 2026
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