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Data & ML Development for Software House Collective

Services Covered:

Custom Software Development • AI and Machine Learning • DevOps • Data Analytics • Cloud Consulting and Services
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Industry
Industry

Software Development

Duration
Duration

33 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 January 2016

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
73/100
Good

Project Capability Score (PCS) estimates how capable SoftKraft 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

mapChicago, United States of America

Project Summary

SoftKraft delivered five major projects for a software house collective focused on data processing, machine learning and DevOps infrastructure. Deliverables included AWS-based ML applications, image processing, streaming analytics, DevOps setups and e-commerce payment features. Stakeholders were satisfied with outcomes and praised the team's technical expertise and proactive project management.

Key Challenges

  • Deliver five major projects involving data processing and machine learning solutions for customers
  • Integrate machine learning and data processing solutions into larger projects with reliable DevOps and cloud infrastructure

Project Deliverables

  • AWS cloud machine-learning application for text processing (SEO)
  • Image processing software
  • Streaming user analytics pipelines
  • DevOps infrastructure in AWS for video streaming
  • Payment integration for e-commerce site

Project Solution

SoftKraft was selected based on prior positive experience with a co-founder. They built multiple projects: an AWS/cloud machine-learning application for SEO text processing, image processing software, streaming-data user analytics, DevOps infrastructure in AWS for a video streaming service, and payment features for an e-commerce site. Technologies used included Java, Python and Go, with AWS services and tooling such as Apache Kafka, NumPy, Pandas and IBM Watson. The vendor typically deployed two senior developers per project.

Project Outcome

  • Developed AI applications and data pipelines from scratch
  • Proactive project management that supported timely delivery and effective issue handling

Platforms

  • CloudCloud
  • WebWeb

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • JavaJava
  • PythonPython
  • GoGo
  • Apache KafkaApache Kafka
  • NumPyNumPy
  • PandasPandas

Client Endorsement

Overall Review Rating

4.88star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“All solutions met expectations and pleased the relevant stakeholders. SoftKraft delivered high-quality development work again and again. Their experienced resources gave valuable insights and were passionate about problem-solving, enabling smooth workflows.”

Beata Kwasna

President

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

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