EndorsedendorsedOngoing

Web App & AI Algorithms for Land and Roof Verification

Services Covered:

Custom Software DevelopmentWebsite DevelopmentAI and Machine LearningCloud Consulting and Services
Project hero — replace with case study imagery
Industry
Industry

Energy & Natural Resources

Duration
Duration

65 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 March 2021

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
73/100
Good

Project Capability Score (PCS) estimates how capable devopsbay 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

Sunmetric

map Poland

Project Summary

Devopsbay was hired to develop AI algorithms for satellite image analysis and build a browser-based application that combines neural-network outputs with public data into client reports. The engagement includes R&D on AI models, data integration, and server infrastructure setup; the project is still in development and the client reports being generally satisfied with progress.

Key Challenges

  • Develop AI algorithms to analyze satellite imagery and geological maps
  • Build a browser-based application that integrates neural-network outputs with public data to produce actionable reports for clients

Project Deliverables

  • Research and development of AI models to recognize objects in satellite imagery and geological maps
  • Browser-based application for downloading public data and integrating neural-network outputs
  • Server infrastructure setup and secure publishing of the application
  • Creation of an internal unit for training AI models

Project Solution

Devopsbay conducted R&D to build AI models that detect objects in satellite images and geological maps, implemented a browser-based application that downloads public data and merges it with neural-network outputs to produce client reports, set up server infrastructure, and securely published the application. They also created an internal unit for training AI models and staffed the engagement with a seven-person team including backend (Python) and frontend developers, QA, DevOps, and a project manager.

Project Outcome

  • Client is generally satisfied though the project is not yet finished or released
  • Project management and work organization are at a high level using SCRUM elements
  • Work is organized and tracked using tools such as Jira and GitHub

Platforms

  • WebWeb

Tech Stack

  • PythonPython

Client Endorsement

Overall Review Rating

4.88star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The project has yet to be released, but the client is satisfied with the service of Devopsbay. They have been working on the research and development of creating AI models, as well as managing the integration of public data and data obtained from the neural network.

Mateusz Zapart

Business Development Director

Note: This endorsement is based on publicly available client feedback from external review sources.

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