endorsedCompleted

Earth Observation Risk Analytics Platform for Insurance Company

Services Covered:

Custom Software Development • AI and Machine Learning • Software QA and Testing

Industry

Financial Services

Duration

11 months

Budget

10K - 49K

Start Date

1 November 2019

Team Size

6-10 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

77/100

Good

Project Capability Score (PCS) estimates how capable DICEUS is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Ukraine

Project Summary

Diceus provided software development for an insurance company to adapt Earth Observation data for environmental analysis and risk prediction. The team used Python as the primary language, performed business analysis to prepare detailed requirements, and conducted testing throughout development. The project was completed on time with weekly status and testing reports, delivering tested functionality that met the client's expectations.

Key Challenges

Adapt Earth Observation data to analyze the environment and predict insurance case risks
Implement quick digital image processing capabilities
Provide advanced data analytics for historical and real-time processing
Integrate satellite-derived insights into underwriting and forecasting

Project Deliverables

An Earth observation–based analytics solution to analyze the environment and predict insurance risks
Digital image processing pipeline
Advanced data analytics modules for historical and real-time data
Tested software components and regular status/testing reports

Project Solution

Diceus conducted kickoff sessions and business analysis to collect and formalize requirements, then developed an Earth Observation analytics solution using Python. The vendor provided a team selected for required technical skills, performed testing throughout development, and ran weekly status meetings and testing report cycles with the client.

Project Outcome

The project was completed on time
All functionalities were tested and met the client's expectations
The delivered solution opened new opportunities and provided technology uncommon in other insurance companies

Platforms

AI/ML Platform

Tech Stack

Python

Client Endorsement

Overall Review Rating

4.88

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Diceus was able to accomplish the project on time. The functionalities were tested and they managed to match the client's expectation. Weekly meetings were conducted for project status and testing reports. The team was motivated and result-oriented.”
Andrew Sidirov
CIO
Date: 11/19/2020