Custom AI Implementation & Integration

Design or tailor ML models for drug discovery, manufacturing processes, or lab analytics. Integrate them seamlessly with existing LIMS/ELNs and automate data capture.

Custom AI Implementation & Integration illustration

Key Benefits

  • Tailored AI/ML solutions specific to your organisation's workflows
  • Seamless integration with BI systems, analytics platforms, and data infrastructure
  • Automated data capture and analysis workflows
  • Scalable solutions designed for growth and flexibility

Our Process

1. Data Assessment & Prep

Review data sources, ensure quality, and configure training datasets.

2. Model Development

Build or adapt ML models for your specific tasks (e.g., predictive analysis, classification).

3. Integration & Testing

Deploy the solution in your environment, connect to instruments, and perform thorough testing.

4. Performance Monitoring

Set up dashboards or triggers for ongoing model accuracy and continuous improvement.

Technologies & Tools

Python, R, TensorFlow, PyTorch
Docker, Kubernetes for scalable deployment
Integration with cloud platforms (AWS, Azure, GCP)
Data warehousing & analytics solutions (Snowflake, Databricks)