Analytics Solutions

Machine Learning Solutions

DevSimplex builds custom machine learning solutions that solve complex business problems with state-of-the-art algorithms and production-grade MLOps.

View Case Studies
65+
Success Rate
150+
Avg Delivery
1+
Projects Delivered
94%+
Client Retention

Our Development Process

A systematic approach to quality delivery and successful outcomes

01

01

1-2 weeks

Define ML problem and success criteria.

Deliverables:

  • Problem statement
  • Success metrics
  • Data requirements
02

02

3-5 weeks

Prepare data for model training.

Deliverables:

  • Data pipeline
  • Feature store
  • Training data
03

03

6-14 weeks

Build, train, and validate models.

Deliverables:

  • Trained models
  • Validation reports
  • Model cards
04

04

3-5 weeks

Deploy models with full MLOps.

Deliverables:

  • Production deployment
  • Monitoring
  • CI/CD pipeline

Success Stories

Real-world success stories and business impact

Computer Vision Quality Inspection

Manufacturing

Challenge:

Manual quality inspection missing defects and slowing production

Solution:

Real-time computer vision defect detection system

Results:

  • 99.5% defect detection rate
  • 10x faster inspection
  • 50% reduction in defects shipped
Technologies Used:
PythonTensorFlowOpenCV

Client Stories

What our clients say about working with us

The computer vision system catches defects our human inspectors miss. Quality has never been better.
Chris Thompson
VP Manufacturing
QualityMfg

Frequently Asked Questions

Get expert answers to common questions about our enterprise software development services, process, and pricing.

We work with TensorFlow, PyTorch, scikit-learn, XGBoost, and other industry-standard frameworks.

We implement monitoring and automated retraining pipelines to detect and address model drift.

Still Have Questions?

Get in touch with our team for personalized help.

Ready to Get Started?

Let's discuss how we can help transform your business with analytics solutions.