Digital solutions we’ve engineered

Insurer Payment Platform Architecture

Insurer Payment Platform Reliability Uplift

The payments platform was a bottleneck for policy servicing and claims payouts. Failures and manual reconciliations were increasing operational cost and audit effort. Interfaces with policy, billing, and finance systems were fragile.

Data Platform Migration

Digital Transformation: Hadoop to Databricks Migration

The client had a large Hadoop estate with rising operational cost and slow delivery cycles. Many workloads were business-critical (risk, reporting, portfolio analytics). The goal was to migrate 50+ applications to Databricks on AWS without breaking data contracts.

AI Advisory Roadmap

Audit-Tech Platform AI Advisory Sprint

The product had strong domain value but needed enterprise-grade readiness: data strategy, security posture, and an AI roadmap tied to real user workflows. The company was preparing for enterprise pilots with strict requirements on auditability and privacy.

Digital Platform Modernization

Legacy Mobile App to Digital Platform

The mobile app was built on an aging stack with frequent crashes and slow release cycles. Backend services were tightly coupled, making changes risky. The business needed a modern digital platform to support new customer journeys and faster releases.

Process Digitization Diagram

Enterprise Process Digitization Across Core Systems

The organization had fragmented processes across multiple core systems and manual handoffs. Reporting was slow and inconsistent. The goal was to digitize end-to-end workflows, improve data quality, and create reliable operational reporting.

Anix AI Compliance Engine Architecture

Anix AI Compliance Engine: Empowering Financial Sovereignty

A mission-critical, on-premise AI architecture designed to automate demanding regulatory audits. Built on the BDAT Enterprise Framework, the solution ensures Indian financial data remains secure, private, and fully compliant within local borders through agentic intelligence.

Transaction Screening Dashboard

Transaction Screening & Monitoring Modernization

The bank needed to strengthen transaction screening and monitoring to reduce alert volumes and improve investigator throughput. Existing rules generated high false positives, and audit traceability across decisions was inconsistent. The program required strict governance and repeatable controls.

GAINOVA AI Ecosystem Platform

GAINOVA: Empowering the AI Ecosystem

Anix AI developed GAINOVA, an international community platform bridging industries, universities, and students to accelerate innovation and collaboration in Artificial Intelligence (AI) and Generative AI (GenAI). As a comprehensive web-based SaaS platform, GAINOVA fosters a scalable, accessible, and collaborative ecosystem for global AI stakeholders.

EXPERIENCE SUMMARY

  • Delivered mission-critical modernization across BFSI, asset management, and regulated enterprises
  • Built and modernized payment and reconciliation platforms with audit-ready traceability
  • Implemented transaction screening and monitoring upgrades with governance and measurable alert reduction
  • Migrated 50+ Hadoop workloads to Databricks on AWS using a structured migration factory model
  • Improved production stability with CI/CD, automated testing, observability, and controlled rollouts
  • Reduced manual operations through exception tooling, workflow digitization, and reconciliation automation
  • Established data quality checks, data contracts, and operational dashboards to keep systems stable at scale
  • Supported product companies with AI advisory: roadmap, architecture, controls, and pilot readiness
  • Executed phased cutovers with parallel runs and rollback plans to manage business risk

Client Confidentiality Note

Client names are not shown due to confidentiality obligations under NDAs and delivery contracts, including cases where work was performed in contractor/subcontractor roles. Program details are presented in a sanitized form to protect client systems and data. Client references can be shared in a private discussion under mutual NDA.