Disrupting the aircraft valuation industry through streamlined data access and custom reporting with AWS and React

PLATFORMS

CHANNELS

Challenge

Manual report workflows limited scale, speed, and accuracy, making it hard for Ishka to meet rising demand in fast moving aviation finance.

Approach

Build a scalable SaaS platform that automates data ingestion and report generation with unified models plus self serve search and filters using React, .NET, Snowflake, and AWS.

Outcome

Live foundation in 1 month and full prototype in 2 months, enabling faster analysis, reliable reporting, and a clear competitive edge for Ishka users.

Measurable impact

1 Month

First release

2 Months

Prototype

Real-time

Data access

The Massive Rocket team acts as an extension to our team and is consistently focused on delivering results for our business. Massive Rocket's approach to project management and delivery has ensured that we get the right results in the shortest possible time frame.

Gehan Talwatte

Executive Chairman, Ishka Global

Empowering informed decisions in aviation finance.

Ishka provides data, analytics, and advisory services to airlines, investors, and lessors. Offerings include market intelligence, airline credit profiles, transaction economics, and consulting led by industry experts. The company also runs events that connect the ecosystem. To meet growing demand and speed decisions, Ishka partnered with Massive Rocket to automate data operations and deliver self serve reporting at scale.

Our Approach

Massive Rocket worked alongside Ishka across product, engineering, and operations. We introduced agile delivery, defined domain models, and automated ETL into Snowflake. A React front end exposed fast search and filtering. Backend services in .NET handled orchestration, permissions, and report generation. DevOps and QA pipelines ensured quality, reliability, and secure environments on AWS.

Execution

In month 1, Ishka received a working foundation to test core flows. By month 2, a full prototype supported curated datasets, instant search, and configurable reports. Users can retrieve transaction details, lessee insights, and market history, then filter by manufacturer, vintage, dates, and more. The platform cut manual effort, reduced errors, and shortened time to insight across teams.

Key Outcomes

  • Faster decision cycles with real time access to critical aviation data
  • Self serve reporting replaces manual spreadsheets and handoffs
  • Unified data model improves consistency and auditability
  • Powerful search and filters surface trends and benchmarks quickly
  • Secure, scalable architecture on AWS and Snowflake
  • Agile delivery enabled rapid iteration and stakeholder feedback
  • Clear path to expand datasets, metrics, and client facing features

Ready to build lasting customer loyalty?

Fill out the form and one of our experts will be in touch. You can also write to us at info@massiverocket.com