Measurable results
We define how to measure quality before we build.
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Artificial intelligence · Service 17 of 21
MLOps and LLMOps
Training pipelines, model versioning, deployment, drift monitoring and inference cost control.
ScopeTraining pipelinesModel versioningDeploymentDrift monitoringInference cost control
What’s included
What we deliver
01Assessment of the use case and your data
02A working prototype to validate with your team
03A production solution with quality and cost monitoring
04Documentation and training to run it
Why OvalleSoft
What you gain
Your data protected
Access control, privacy and traceability from day one.
Costs under control
We pick the right model and track spend per use.
How we work
From discovery to follow-up
- 1Discovery
- 2Proposal
- 3Delivery
- 4Launch
- 5Follow-up
AI infrastructureGPUs, optimized inference (vLLM, TensorRT) and edge AI.AI securityProtection against prompt injection and data leakage, plus robustness testing.Governance, ethics and complianceBias, explainability, traceability and risk assessment.AI strategy and consultingUse cases, maturity, roadmap and ROI analysis.
Tell us about your project
We’ll reply with a proposed next step, no strings attached.