Custom
ML Engineering & MLOps
Models that survive contact with real, messy data.
0
things you get
3 to 6 weeks
typical timeline
On request
engagement
// what you get
Predictive modelling + anomaly detection
Computer vision pipelines (transfer learning)
AWS Lambda / Azure ML deployment
CI/CD pipeline for model versioning
Model monitoring + drift detection
Evaluation report + benchmarks
3 weeks post-launch support
Starting from
On request
~ 3 to 6 weeks
Reply within 24h · free scoping call
Request a proposal
Budget
Timeline