How We Can Help

We operate as staff AI engineers embedded in your team—bringing the velocity of full-time contributors with the specialized expertise of seasoned consultants.

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AI Strategy & Feasibility

De-risk your AI investment before writing code

Deliverables

  • Technical feasibility analysis
  • Data readiness assessment
  • Architecture recommendations
  • ROI modeling and timeline estimation
Ideal for: Enterprise leaders exploring AI adoption
Duration: 2-4 weeks
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Model Development & Training

Custom ML models tailored to your data and domain

Deliverables

  • Data pipeline design and implementation
  • Model architecture selection and tuning
  • Training infrastructure setup
  • Model evaluation and benchmarking
Ideal for: Technical teams with clear use cases
Duration: 6-12 weeks
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Production MLOps

Deploy, monitor, and scale AI systems reliably

Deliverables

  • CI/CD pipelines for ML models
  • Model serving infrastructure
  • Monitoring and observability
  • A/B testing and experimentation frameworks
Ideal for: Teams moving from prototype to production
Duration: 4-8 weeks
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Staff Augmentation

Embed senior AI engineers directly in your team

Deliverables

  • Full-time or part-time engagement
  • Hands-on development and code review
  • Mentorship and knowledge transfer
  • Flexible month-to-month arrangements
Ideal for: Teams needing immediate senior expertise
Duration: Ongoing

Tech Stack Expertise

Python
PyTorch
TensorFlow
scikit-learn
AWS
GCP
Azure
Docker
Kubernetes
PostgreSQL
MongoDB
Snowflake

Let's discuss your project

Schedule a call to explore how we can help your team