Free AI Consulting Session & Project Estimation
- Provide a free AI consulting session during the client's discovery call.
- Develop a detailed roadmap that includes transparent pricing, project stages, delivery timeline, and team breakdown.
- Sign a contract and set up a project team upon agreement.
Solution Architecture Design
- Begin the project with an initial solution architecture design document.
- Define the data processing pipeline, monitoring service, and hypotheses.
- Select the best-fit Machine Learning/Deep Learning architectures.
R&D Process Set-Up
- Adapt Agile methodologies for Machine Learning/Deep Learning R&D.
- Configure tools and team operations to track, control, and iterate on progress.
Models Development and Training
- Anonymize and depersonalize sensitive user data.
- Gather and label custom datasets using data labeling partners or state-of-the-art models.
- Clean the data for exploratory data analysis.
- Develop the Machine Learning/Deep Learning Pipeline.
- Launch training and parameters tuning cycles.
- Test the model in inference mode and optimize it to meet defined accuracy and speed metrics.
Service Development & Deployment
- Launch the service development process.
- Merge the data pipeline with the Machine Learning/Deep Learning Pipeline.
- Develop the end API, service, or package for production use.
- Deploy the solution to the required destination, whether in the cloud, on dedicated servers, mobile, or embedded devices.
System Monitoring & Knowledge Transfer
- Integrate monitoring, performance testing, and CI/CD systems.
- Gather insights on new data, data anomalies, and key metrics to improve model performance.
- Document the full solution.
- Conduct knowledge transfer to the client's team to ensure correct usage.