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EndorsedendorsedCompleted

AI Development and Team Augmentation for ZirconTech

Services Covered:

AI and Machine Learning • Custom Software Development
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Industry
Industry

Software Development

Duration
Duration

5 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 January 2020

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable Championsys 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

mapMontevideo, Uruguay

Project Summary

Dividato provided AI expertise and development support to a software development company for a complex AI project, participating from initial scoping through delivery. The vendor used TensorFlow, communicated via daily meetings and Slack, delivered the project on time, and left the end customer impressed by their AI knowledge.

Key Challenges

  • Deliver a complex AI project requested by the end customer.
  • Augment the client's team with AI experts due to the project's complexity.

Project Deliverables

  • AI solution developed using TensorFlow
  • AI experts integrated into the client's delivery team
  • Participation in initial scoping and delivery of the AI project

Project Solution

The vendor supplied AI experts who joined the client's team from project inception and also participated in delivery. They contributed to scoping discussions, implemented the AI solution using TensorFlow, and collaborated via daily meetings and Slack to ensure timely delivery.

Project Outcome

  • The project was delivered on time.
  • The end customer was highly impressed with the team's AI experience and knowledge.

Platforms

  • AI/ML PlatformAI/ML Platform

Tech Stack

  • TensorFlowTensorFlow

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Dividato AI Software Development successfully supported the project and completed the deliverables on time. They used Slack for periodic communication and held daily meetings to keep track of the workflow. In the end, the end client was extremely impressed with the team's knowledge.”

Andres Zunino

COO

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