qubiqAIThe problem
The model is the easy part.
Most production failures trace back to data: late feeds, silent schema changes, labels that drifted. We build the plumbing and the measurement around the model so problems show up on a dashboard, not in a customer complaint.
What we build
Capabilities
Data pipelines
Reliable ingestion and transformation with quality checks, lineage and alerts.
Evaluation harness
Versioned test sets and automated scoring so every change is measured before it ships.
Deployment & monitoring
Serving, rollbacks, drift detection and cost tracking for models and LLM workloads.
Typical scenarios
- Demand and inventory forecasting
- Classification and extraction models
- Retrieval over internal documents
- Cost and quality tracking for LLM features
What you get
- Documented pipelines and data contracts
- Benchmark and eval set you own
- Monitoring dashboards and alerts
- Handover and team training
How we deliver
Four steps, no surprises.
1
Audit
Where data lives, how fresh and how trustworthy.
2
Design
Pipelines, schemas and the metrics that matter.
3
Build
Implement, test and document.
4
Operate
Monitor, tune and hand over.
Let’s make AI work for you
Tell us about the workflow you’d like to improve. We’ll reply within one business day.